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Dinggang Shen

Ding-Gang Shen

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affiliation: ShanghaiTech University, School of Biomedical Engineering, Shanghai, China
affiliation: North Carolina State University, Department of Radiology and Biomedical Research Imaging Center, Chapel Hill, NC, USA
affiliation: University of Pennsylvania, Philadelphia, PA, USA
affiliation: Johns Hopkins University, School of Medicine, Baltimore, MD, USA
affiliation: Shanghai Jiaotong University, Shanghai, China

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2024
[j491]
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Lei Ma, Jingyang Zhang, Ke Deng, Peng Xue, Zhiming Cui, Yu Fang, Minhui Tan, Yue Zhao, Min Zhu, Zhongxiang Ding, Dinggang Shen:
Construction of unbiased dental template and parametric dental model for precision digital dentistry. Biomed. Signal Process. Control. 95: 106458 (2024)
[j490]
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Minhui Tan, Zhiming Cui, Tao Zhong, Yu Fang, Yu Zhang, Dinggang Shen:
A progressive framework for tooth and substructure segmentation from cone-beam CT images. Comput. Biol. Medicine 169: 107839 (2024)
[j489]
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Yuhang Sun, Yuning Gu, Feng Shi, Jiameng Liu, Guoqiang Li, Qianjin Feng, Dinggang Shen:
Coarse-to-fine registration and time-intensity curves constraint for liver DCE-MRI synthesis. Comput. Medical Imaging Graph. 111: 102319 (2024)
[j488]
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Jian Chen, Ranlin Lu, Bin Jing, He Zhang, Geng Chen, Dinggang Shen:
One model, two brains: Automatic fetal brain extraction from MR images of twins. Comput. Medical Imaging Graph. 112: 102330 (2024)
[j487]
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Zhenxiang Xiao, Yuzhong Chen, Junjie Yao, Lu Zhang, Zhengliang Liu, Zihao Wu, Xiaowei Yu, Yi Pan, Lin Zhao, Chong Ma, Xinyu Liu, Wei Liu, Xiang Li, Yixuan Yuan, Dinggang Shen, Dajiang Zhu, Dezhong Yao, Tianming Liu, Xi Jiang:
Instruction-ViT: Multi-modal prompts for instruction learning in vision transformer. Inf. Fusion 104: 102204 (2024)
[j486]
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Yan Wang, Yanmei Luo, Chen Zu, Bo Zhan, Zhengyang Jiao, Xi Wu, Jiliu Zhou, Dinggang Shen, Luping Zhou:
3D multi-modality Transformer-GAN for high-quality PET reconstruction. Medical Image Anal. 91: 102983 (2024)
[j485]
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Lin Teng, Bin Wang, Xuanang Xu, Jiadong Zhang, Lanzhuju Mei, Qianjin Feng, Dinggang Shen:
Beam-wise dose composition learning for head and neck cancer dose prediction in radiotherapy. Medical Image Anal. 92: 103045 (2024)
[j484]
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Jianjia Zhang, Yunan Guo, Luping Zhou, Lei Wang, Weiwen Wu, Dinggang Shen:
Constructing hierarchical attentive functional brain networks for early AD diagnosis. Medical Image Anal. 94: 103137 (2024)
[j483]
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Caiwen Jiang, Tianyu Wang, Yongsheng Pan, Zhongxiang Ding, Dinggang Shen:
Real-time diagnosis of intracerebral hemorrhage by generating dual-energy CT from single-energy CT. Medical Image Anal. 95: 103194 (2024)
[j482]
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Qingrui Sha, Kaicong Sun, Caiwen Jiang, Mingze Xu, Zhong Xue, Xiaohuan Cao, Dinggang Shen:
Detail-preserving image warping by enforcing smooth image sampling. Neural Networks 178: 106426 (2024)
[j481]
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Mengjun Liu, Huifeng Zhang, Mianxin Liu, Dongdong Chen, Rubai Zhou, Wenxian Lu, Lichi Zhang, Dinggang Shen, Qian Wang, Daihui Peng:
Hierarchical Encoding and Fusion of Brain Functions for Depression Subtype Classification. IEEE Trans. Affect. Comput. 15(3): 1826-1837 (2024)
[j480]
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Chong Ma, Zihao Wu, Jiaqi Wang, Shaochen Xu, Yaonai Wei, Zhengliang Liu, Fang Zeng, Xi Jiang, Lei Guo, Xiaoyan Cai, Shu Zhang, Tuo Zhang, Dajiang Zhu, Dinggang Shen, Tianming Liu, Xiang Li:
An Iterative Optimizing Framework for Radiology Report Summarization With ChatGPT. IEEE Trans. Artif. Intell. 5(8): 4163-4175 (2024)
[j479]
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Tangwei Cao, Runwei Lin, Yinuo Zheng, Dinggang Shen, Lin Xu:
A Novel Approach Analysing the Dynamic Brain Functional Connectivity for Improved MCI Detection. IEEE Trans. Biomed. Eng. 71(1): 207-216 (2024)
[j478]
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Shijie Huang, Xukun Zhang, Zhiming Cui, He Zhang, Geng Chen, Dinggang Shen:
Tissue Segmentation of Thick-Slice Fetal Brain MR Scans With Guidance From High-Quality Isotropic Volumes. IEEE Trans. Biomed. Eng. 71(4): 1404-1415 (2024)
[j477]
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Jiaqi Cui, Yan Wang, Luping Zhou, Yuchen Fei, Jiliu Zhou, Dinggang Shen:
3D Point-Based Multi-Modal Context Clusters GAN for Low-Dose PET Image Denoising. IEEE Trans. Circuits Syst. Video Technol. 34(10): 9400-9413 (2024)
[j476]
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Huabing Liu, Zhengze Ni, Dong Nie, Dinggang Shen, Jinda Wang, Zhenyu Tang:
Multimodal Brain Tumor Segmentation Boosted by Monomodal Normal Brain Images. IEEE Trans. Image Process. 33: 1199-1210 (2024)
[j475]
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Jian Chen, Ranlin Lu, Shilin Ye, Mengting Guang, Tewodros Megabiaw Tassew, Bin Jing, Guofu Zhang, Geng Chen, Dinggang Shen:
Image Recovery Matters: A Recovery-Extraction Framework for Robust Fetal Brain Extraction From MR Images. IEEE J. Biomed. Health Informatics 28(2): 823-834 (2024)
[j474]
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Minjoo Lim, Keun-Soo Heo, Jun-Mo Kim, Bogyeong Kang, Weili Lin, Han Zhang, Dinggang Shen, Tae-Eui Kam:
A Unified Multi-Modality Fusion Framework for Deep Spatio-Spectral-Temporal Feature Learning in Resting-State fMRI Denoising. IEEE J. Biomed. Health Informatics 28(4): 2067-2078 (2024)
[j473]
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Peng Xue, Jingyang Zhang, Lei Ma, Mianxin Liu, Yuning Gu, Jiawei Huang, Feihong Liu, Yongsheng Pan, Xiaohuan Cao, Dinggang Shen:
Structure-Aware Registration Network for Liver DCE-CT Images. IEEE J. Biomed. Health Informatics 28(4): 2163-2174 (2024)
[j472]
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Zhikai Yang, Dinggang Shen, Kannie W. Y. Chan, Jianpan Huang:
Attention-Based MultiOffset Deep Learning Reconstruction of Chemical Exchange Saturation Transfer (AMO-CEST) MRI. IEEE J. Biomed. Health Informatics 28(8): 4636-4647 (2024)
[j471]
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Xuanmin Chen, Liyan Ma, Shihui Ying, Dinggang Shen, Tieyong Zeng:
FEFA: Frequency Enhanced Multi-Modal MRI Reconstruction With Deep Feature Alignment. IEEE J. Biomed. Health Informatics 28(11): 6751-6763 (2024)
[j470]
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Jiajia Li, Pingping Zhang, Teng Wang, Lei Zhu, Ruhan Liu, Xia Yang, Kaixuan Wang, Dinggang Shen, Bin Sheng:
DSMT-Net: Dual Self-Supervised Multi-Operator Transformation for Multi-Source Endoscopic Ultrasound Diagnosis. IEEE Trans. Medical Imaging 43(1): 64-75 (2024)
[j469]
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Lanzhuju Mei, Yu Fang, Yue Zhao, Xiang Sean Zhou, Min Zhu, Zhiming Cui, Dinggang Shen:
DTR-Net: Dual-Space 3D Tooth Model Reconstruction From Panoramic X-Ray Images. IEEE Trans. Medical Imaging 43(1): 517-528 (2024)
[j468]
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Kaicong Sun, Qian Wang, Dinggang Shen:
Joint Cross-Attention Network With Deep Modality Prior for Fast MRI Reconstruction. IEEE Trans. Medical Imaging 43(1): 558-569 (2024)
[j467]
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Xiao Zhang, Kaicong Sun, Dijia Wu, Xiaosong Xiong, Jiameng Liu, Linlin Yao, Shufang Li, Yining Wang, Jun Feng, Dinggang Shen:
An Anatomy- and Topology-Preserving Framework for Coronary Artery Segmentation. IEEE Trans. Medical Imaging 43(2): 723-733 (2024)
[j466]
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Qianqian Chen, Jiadong Zhang, Runqi Meng, Lei Zhou, Zhenhui Li, Qianjin Feng, Dinggang Shen:
Modality-Specific Information Disentanglement From Multi-Parametric MRI for Breast Tumor Segmentation and Computer-Aided Diagnosis. IEEE Trans. Medical Imaging 43(5): 1958-1971 (2024)
[j465]
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Zihan Li, Yuan Zheng, Dandan Shan, Shuzhou Yang, Qingde Li, Beizhan Wang, Yuanting Zhang, Qingqi Hong, Dinggang Shen:
ScribFormer: Transformer Makes CNN Work Better for Scribble-Based Medical Image Segmentation. IEEE Trans. Medical Imaging 43(6): 2254-2265 (2024)
[j464]
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Xiangxi Meng, Kaicong Sun, Jun Xu, Xuming He, Dinggang Shen:
Multi-Modal Modality-Masked Diffusion Network for Brain MRI Synthesis With Random Modality Missing. IEEE Trans. Medical Imaging 43(7): 2587-2598 (2024)
[j463]
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Jianjia Zhang, Haiyang Mao, Dingyue Chang, Hengyong Yu, Weiwen Wu, Dinggang Shen:
Adaptive and Iterative Learning With Multi-Perspective Regularizations for Metal Artifact Reduction. IEEE Trans. Medical Imaging 43(9): 3354-3365 (2024)
[j462]
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Tianming Liu, Dajiang Zhu, Fei Wang, Islem Rekik, Xia Ben Hu, Dinggang Shen:
Editorial Special Issue on Explainable and Generalizable Deep Learning for Medical Imaging. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7271-7274 (2024)
[j461]
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Jiadong Zhang, Zhiming Cui, Caiwen Jiang, Shanshan Guo, Fei Gao, Dinggang Shen:
Hierarchical Organ-Aware Total-Body Standard-Dose PET Reconstruction From Low-Dose PET and CT Images. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13258-13270 (2024)
[j460]
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Mianxin Liu, Han Zhang, Feng Shi, Dinggang Shen:
Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15182-15194 (2024)
[c666]
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Runqi Meng, Xiao Zhang, Shijie Huang, Yuning Gu, Guiqin Liu, Guangyu Wu, Nizhuan Wang, Kaicong Sun, Dinggang Shen:
NaMa: Neighbor-Aware Multi-Modal Adaptive Learning for Prostate Tumor Segmentation on Anisotropic MR Images. AAAI 2024: 4198-4206
[c665]
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Zihao Zhao, Sheng Wang, Qian Wang, Dinggang Shen:
Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis. AAAI 2024: 7543-7551
[c664]
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Jiaqi Cui, Yan Wang, Lu Wen, Pinxian Zeng, Xi Wu, Jiliu Zhou, Dinggang Shen:
Image2Points: A 3D Point-Based Context Clusters GAN for High-Quality Pet Image Reconstruction. ICASSP 2024: 1726-1730
[c663]
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Zaixin Ou, Yongsheng Pan, Yuanning Li, Fang Xie, Qihao Guo, Dinggang Shen:
Synthesizing Aβ-Pet Via An Image And Label Conditioning Latent Diffusion Model For Detecting Amyloid Status. ICASSP 2024: 6610-6614
[c662]
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Zaixin Ou, Caiwen Jiang, Yongsheng Pan, Yuanwang Zhang, Zhiming Cui, Dinggang Shen:
A Prior-information-guided Residual Diffusion Model for Multi-modal PET Synthesis from MRI. IJCAI 2024: 4769-4777
[c661]
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Li Jiang, Jiaqi Cui, Yuanyuan Xu, Binyu Yan, Jiliu Zhou, Yan Wang, Dinggang Shen:
D2GAN: A Dual-Domain Generative Adversarial Network for High-Quality PET Image Reconstruction. IJCNN 2024: 1-8
[c660]
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Yuchen Fei, Yanmei Luo, Yan Wang, Jiaqi Cui, Yuanyuan Xu, Jiliu Zhou, Dinggang Shen:
Two-Phase Multi-Dose-Level Pet Image Reconstruction with Dose Level Awareness. ISBI 2024: 1-4
[c659]
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Jinchen Gu, Yaoxuan Wang, Caiwen Jiang, Jiameng Liu, Yuting Zhu, Mengda Jiang, Zhaoyan Wang, Feihong Liu, Hao Wu, Dinggang Shen:
Auditory Fiber Bundle Parcellation using Text-Prompted Decomposition Networks. ISBI 2024: 1-5
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Lianghu Guo, Tianli Tao, Xinyi Cai, Zihao Zhu, Jiawei Huang, Lixuan Zhu, Zhuoyang Gu, Haifeng Tang, Rui Zhou, Siyan Han, Yan Liang, Qing Yang, Dinggang Shen, Han Zhang:
Cas-DiffCom: Cascaded Diffusion Model for Infant Longitudinal Super-Resolution 3D Medical Image Completion. ISBI 2024: 1-4
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Zhongrui Huang, Caiwen Jiang, Jinchen Gu, Xinyi Cai, Han Zhang, Feihong Liu, Dinggang Shen:
Accelerating DWI Data Acquisition: Reconstruction Using Graph-Driven Denoising Diffusion Probabilistic Model. ISBI 2024: 1-5
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Xin Wang, Zhiyun Song, Yitao Zhu, Sheng Wang, Lichi Zhang, Dinggang Shen, Qian Wang:
Inter-Slice Super-Resolution of Magnetic Resonance Images by Pre-Training and Self-Supervised Fine-Tuning. ISBI 2024: 1-5
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Xiaosong Xiong, Xiao Zhang, Caiwen Jiang, Jiameng Liu, Zhiming Cui, Dijia Wu, Dinggang Shen:
Discontinuity-Aware Coronary Artery Segmentation on CCTA Image. ISBI 2024: 1-5
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Yitao Zhu, Zhenrong Shen, Zihao Zhao, Sheng Wang, Xin Wang, Xiangyu Zhao, Dinggang Shen, Qian Wang:
MeLo: Low-Rank Adaptation is Better than Fine-Tuning for Medical Image Diagnosis. ISBI 2024: 1-5
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Zaixin Ou, Caiwen Jiang, Yuxiao Liu, Yuanwang Zhang, Zhiming Cui, Dinggang Shen:
A Graph-Embedded Latent Space Learning and Clustering Framework for Incomplete Multimodal Multiclass Alzheimer's Disease Diagnosis. MICCAI (7) 2024: 45-55
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Caiwen Jiang, Tianyu Wang, Xiaodan Xing, Mianxin Liu, Guang Yang, Zhongxiang Ding, Dinggang Shen:
A Dual-Task Mutual Learning Framework for Predicting Post-thrombectomy Cerebral Hemorrhage. SASHIMI@MICCAI 2024: 58-68
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  - https://dblp.org/rec/conf/miccai/HuangZHKZDCS24
Shijie Huang, Kai Zhang, Jiawei Huang, Lingnan Kong, Fangmei Zhu, Zhongxiang Ding, Geng Chen, Dinggang Shen:
Towards Accurate Fetal Brain Parcellation via Hierarchical Network and Loss. PIPPI@MICCAI 2024: 70-81
[c650]
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Kai Zhang, Shijie Huang, Fangmei Zhu, Zhongxiang Ding, Geng Chen, Dinggang Shen:
Rethinking Fetal Brain Atlas Construction: A Deep Learning Perspective. PIPPI@MICCAI 2024: 94-104
[c649]
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  - conf/miccai/WangXXLWLS24
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Yulin Wang, Honglin Xiong, Yi Xie, Jiameng Liu, Qian Wang, Qian Liu, Dinggang Shen:
TUMSyn: A Text-Guided Generalist Model for Customized Multimodal MR Image Synthesis. MedAGI@MICCAI 2024: 124-133
[c648]
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  - conf/miccai/WuWMYZSC24
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Han Wu, Chong Wang, Lanzhuju Mei, Tong Yang, Min Zhu, Dinggang Shen, Zhiming Cui:
Cephalometric Landmark Detection Across Ages with Prototypical Network. MICCAI (5) 2024: 155-165
[c647]
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  - conf/miccai/MengLSJTMTSS24
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Runqi Meng, Zonglin Liu, Yiqun Sun, Dengqiang Jia, Lin Teng, Qiong Ma, Tong Tong, Kaicong Sun, Dinggang Shen:
SurRecNet: A Multi-task Model with Integrating MRI and Diagnostic Descriptions for Rectal Cancer Survival Analysis. CaPTion@MICCAI 2024: 200-210
[c646]
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Lin Teng, Zihao Zhao, Jiawei Huang, Zehong Cao, Runqi Meng, Feng Shi, Dinggang Shen:
Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation. MICCAI (2) 2024: 238-248
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Zihao Zhu, Tianli Tao, Yitian Tao, Haowen Deng, Xinyi Cai, Gaofeng Wu, Kaidong Wang, Haifeng Tang, Lixuan Zhu, Zhuoyang Gu, Dinggang Shen, Han Zhang:
LoCI-DiffCom: Longitudinal Consistency-Informed Diffusion Model for 3D Infant Brain Image Completion. MICCAI (2) 2024: 249-258
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  - conf/miccai/LiZYCS24
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Xiao-Xin Li, Fang-Zheng Zhu, Junwei Yang, Yong Chen, Dinggang Shen:
Dynamic Hybrid Unrolled Multi-scale Network for Accelerated MRI Reconstruction. MICCAI (7) 2024: 264-274
[c643]
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  - conf/miccai/ZhaoOZXS24
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Xiangyu Zhao, Xi Ouyang, Lichi Zhang, Zhong Xue, Dinggang Shen:
Exploiting Latent Classes for Medical Image Segmentation from Partially Labeled Datasets. MICCAI (8) 2024: 273-282
[c642]
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Zixin Tang, Caiwen Jiang, Zhiming Cui, Dinggang Shen:
HF-ResDiff: High-Frequency-Guided Residual Diffusion for Multi-dose PET Reconstruction. MICCAI (7) 2024: 372-381
[c641]
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Anglin Liu, Dengqiang Jia, Kaicong Sun, Runqi Meng, Meixin Zhao, Yongluo Jiang, Zhijian Dong, Yaozong Gao, Dinggang Shen:
LM-UNet: Whole-Body PET-CT Lesion Segmentation with Dual-Modality-Based Annotations Driven by Latent Mamba U-Net. MICCAI (9) 2024: 405-414
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Ye Liu, Zhuo-Xu Cui, Kaicong Sun, Ting Zhao, Jing Cheng, Yuliang Zhu, Dinggang Shen, Dong Liang:
k-t Self-consistency Diffusion: A Physics-Informed Model for Dynamic MR Imaging. MICCAI (7) 2024: 414-424
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Jiameng Liu, Feihong Liu, Kaicong Sun, Yuhang Sun, Jiawei Huang, Caiwen Jiang, Islem Rekik, Dinggang Shen:
UinTSeg: Unified Infant Brain Tissue Segmentation with Anatomy Delineation. MICCAI (2) 2024: 487-497
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  - conf/miccai/OuyangGLZCZZSXS24
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Xi Ouyang, Dongdong Gu, Xuejian Li, Wenqi Zhou, Qianqian Chen, Yiqiang Zhan, Xiang Sean Zhou, Feng Shi, Zhong Xue, Dinggang Shen:
Prompt-Based Segmentation Model of Anatomical Structures and Lesions in CT Images. MICCAI (8) 2024: 522-532
[c637]
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  - conf/miccai/ShaSXLXCS24
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Qingrui Sha, Kaicong Sun, Mingze Xu, Yonghao Li, Zhong Xue, Xiaohuan Cao, Dinggang Shen:
Hierarchical Symmetric Normalization Registration Using Deformation-Inverse Network. MICCAI (2) 2024: 662-672
[c636]
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  - conf/miccai/XuLLDWWWSC24
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Chenfan Xu, Zhentao Liu, Yuan Liu, Yulong Dou, Jiamin Wu, Jiepeng Wang, Minjiao Wang, Dinggang Shen, Zhiming Cui:
TeethDreamer: 3D Teeth Reconstruction from Five Intra-Oral Photographs. MICCAI (7) 2024: 712-721
[c635]
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Haoyuan Chen, Yonghao Li, Jiadong Zhang, Qi Xu, Meiyu Li, Zhenhui Li, Xuejun Qian, Dinggang Shen:
IRUM: An Image Representation and Unified Learning Method for Breast Cancer Diagnosis from Multi-View Ultrasound Images. MLMI@MICCAI (1) 2024: 22-30
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Caiwen Jiang, Xiaodan Xing, Zaixin Ou, Mianxin Liu, Simon Walsh, Guang Yang, Dinggang Shen:
CIResDiff: A Clinically-Informed Residual Diffusion Model for Predicting Idiopathic Pulmonary Fibrosis Progression. MLMI@MICCAI (1) 2024: 83-93
[c633]
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Runqi Wang, Zehong Cao, Yichu He, Jiameng Liu, Feng Shi, Dinggang Shen:
Clinical Brain MRI Super-Resolution with 2D Slice-Wise Diffusion Model. MLMI@MICCAI (1) 2024: 166-176
[c632]
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Jiuli Xiong, Lanzhuju Mei, Jiameng Liu, Dinggang Shen, Zhong Xue, Xiaohuan Cao:
SDF-Net: A Hybrid Detection Network for Mediastinal Lymph Node Detection on Contrast CT Images. MLMI@MICCAI (2) 2024: 191-200
[c631]
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  - conf/mlmi-ws/YangJCXS24
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Yichen Yang, Pengbo Jiang, Xiran Cai, Zhong Xue, Dinggang Shen:
Integrating Convolutional Neural Network and Transformer for Lumen Prediction Along the Aorta Sections. MLMI@MICCAI (1) 2024: 340-349
[c630]
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Jiameng Liu, Furkan Pala, Islem Rekik, Dinggang Shen:
DHSampling: Diversity-Based Hyperedge Sampling in GNN Learning with Application to Medical Imaging Classification. MLMI@MICCAI (1) 2024: 402-411
[c629]
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  - conf/wbir/MiJS24
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Jia Mi, Caiwen Jiang, Dinggang Shen:
Diffusion Model-Based Hierarchical Registration of Whole-Body PET/CT Images. WBIR 2024: 216-225
[i136]
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  - journals/corr/abs-2401-01383
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Michalis Pistos, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik:
Predicting Infant Brain Connectivity with Federated Multi-Trajectory GNNs using Scarce Data. CoRR abs/2401.01383 (2024)
[i135]
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  - journals/corr/abs-2402-00376
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Jiaqi Cui, Yan Wang, Lu Wen, Pinxian Zeng, Xi Wu, Jiliu Zhou, Dinggang Shen:
Image2Points: A 3D Point-based Context Clusters GAN for High-Quality PET Image Reconstruction. CoRR abs/2402.00376 (2024)
[i134]
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  - journals/corr/abs-2402-02029
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Zihan Li, Yuan Zheng, Dandan Shan, Shuzhou Yang, Qingde Li, Beizhan Wang, Yuanting Zhang, Qingqi Hong, Dinggang Shen:
ScribFormer: Transformer Makes CNN Work Better for Scribble-based Medical Image Segmentation. CoRR abs/2402.02029 (2024)
[i133]
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  - journals/corr/abs-2402-08409
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Kwanseok Oh, Jieun Lee, Da-Woon Heo, Dinggang Shen, Heung-Il Suk:
Transferring Ultrahigh-Field Representations for Intensity-Guided Brain Segmentation of Low-Field Magnetic Resonance Imaging. CoRR abs/2402.08409 (2024)
[i132]
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  - journals/corr/abs-2402-13776
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Lianghu Guo, Tianli Tao, Xinyi Cai, Zihao Zhu, Jiawei Huang, Lixuan Zhu, Zhuoyang Gu, Haifeng Tang, Rui Zhou, Siyan Han, Yan Liang, Qing Yang, Dinggang Shen, Han Zhang:
Cas-DiffCom: Cascaded diffusion model for infant longitudinal super-resolution 3D medical image completion. CoRR abs/2402.13776 (2024)
[i131]
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  - journals/corr/abs-2403-12416
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Chong Ma, Hanqi Jiang, Wenting Chen, Zihao Wu, Xiaowei Yu, Fang Zeng, Lei Guo, Dajiang Zhu, Tuo Zhang, Dinggang Shen, Tianming Liu, Xiang Li:
Eye-gaze Guided Multi-modal Alignment Framework for Radiology. CoRR abs/2403.12416 (2024)
[i130]
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  - journals/corr/abs-2403-12434
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Xiaoben Li, Mancheng Meng, Ziyan Wu, Terrence Chen, Fan Yang, Dinggang Shen:
Human Mesh Recovery from Arbitrary Multi-view Images. CoRR abs/2403.12434 (2024)
[i129]
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  - journals/corr/abs-2403-12440
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Xiaoben Li, Mancheng Meng, Ziyan Wu, Terrence Chen, Fan Yang, Dinggang Shen:
Self-learning Canonical Space for Multi-view 3D Human Pose Estimation. CoRR abs/2403.12440 (2024)
[i128]
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  - journals/corr/abs-2403-20058
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Luoyu Wang, Yitian Tao, Qing Yang, Yan Liang, Siwei Liu, Hongcheng Shi, Dinggang Shen, Han Zhang:
Revolutionizing Disease Diagnosis with simultaneous functional PET/MR and Deeply Integrated Brain Metabolic, Hemodynamic, and Perfusion Networks. CoRR abs/2403.20058 (2024)
[i127]
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  - journals/corr/abs-2404-01563
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Yuchen Fei, Yanmei Luo, Yan Wang, Jiaqi Cui, Yuanyuan Xu, Jiliu Zhou, Dinggang Shen:
Two-Phase Multi-Dose-Level PET Image Reconstruction with Dose Level Awareness. CoRR abs/2404.01563 (2024)
[i126]
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  - journals/corr/abs-2405-10691
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Zihao Zhu, Tianli Tao, Yitian Tao, Haowen Deng, Xinyi Cai, Gaofeng Wu, Kaidong Wang, Haifeng Tang, Lixuan Zhu, Zhuoyang Gu, Jiawei Huang, Dinggang Shen, Han Zhang:
LoCI-DiffCom: Longitudinal Consistency-Informed Diffusion Model for 3D Infant Brain Image Completion. CoRR abs/2405.10691 (2024)
[i125]
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  - journals/corr/abs-2405-10705
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Zhentao Liu, Huangxuan Zhao, Wenhui Qin, Zhenghong Zhou, Xinggang Wang, Wenping Wang, Xiaochun Lai, Chuansheng Zheng, Dinggang Shen, Zhiming Cui:
3D Vessel Reconstruction from Sparse-View Dynamic DSA Images via Vessel Probability Guided Attenuation Learning. CoRR abs/2405.10705 (2024)
[i124]
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  - journals/corr/abs-2406-05974
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Xin Wang, Zhiyun Song, Yitao Zhu, Sheng Wang, Lichi Zhang, Dinggang Shen, Qian Wang:
Inter-slice Super-resolution of Magnetic Resonance Images by Pre-training and Self-supervised Fine-tuning. CoRR abs/2406.05974 (2024)
[i123]
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  - journals/corr/abs-2406-12577
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Han Wu, Chong Wang, Lanzhuju Mei, Tong Yang, Min Zhu, Dinggang Shen, Zhiming Cui:
Cephalometric Landmark Detection across Ages with Prototypical Network. CoRR abs/2406.12577 (2024)
[i122]
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  - journals/corr/abs-2407-05758
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Yutong Zhang, Yi Pan, Tianyang Zhong, Peixin Dong, Kangni Xie, Yuxiao Liu, Hanqi Jiang, Zhengliang Liu, Shijie Zhao, Tuo Zhang, Xi Jiang, Dinggang Shen, Tianming Liu, Xin Zhang:
Potential of Multimodal Large Language Models for Data Mining of Medical Images and Free-text Reports. CoRR abs/2407.05758 (2024)
[i121]
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  - journals/corr/abs-2407-11419
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Chenfan Xu, Zhentao Liu, Yuan Liu, Yulong Dou, Jiamin Wu, Jiepeng Wang, Minjiao Wang, Dinggang Shen, Zhiming Cui:
TeethDreamer: 3D Teeth Reconstruction from Five Intra-oral Photographs. CoRR abs/2407.11419 (2024)
[i120]
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  - journals/corr/abs-2407-18466
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Yuxiao Liu, Mianxin Liu, Yuanwang Zhang, Kaicong Sun, Dinggang Shen:
A Progressive Single-Modality to Multi-Modality Classification Framework for Alzheimer's Disease Sub-type Diagnosis. CoRR abs/2407.18466 (2024)
[i119]
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  - journals/corr/abs-2407-21328
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Lin Teng, Zihao Zhao, Jiawei Huang, Zehong Cao, Runqi Meng, Feng Shi, Dinggang Shen:
Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation. CoRR abs/2407.21328 (2024)
[i118]
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  - journals/corr/abs-2408-00938
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Caiwen Jiang, Xiaodan Xing, Zaixin Ou, Mianxin Liu, Simon Walsh, Guang Yang, Dinggang Shen:
CIResDiff: A Clinically-Informed Residual Diffusion Model for Predicting Idiopathic Pulmonary Fibrosis Progression. CoRR abs/2408.00938 (2024)
[i117]
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  - journals/corr/abs-2408-00940
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Caiwen Jiang, Tianyu Wang, Xiaodan Xing, Mianxin Liu, Guang Yang, Zhongxiang Ding, Dinggang Shen:
A dual-task mutual learning framework for predicting post-thrombectomy cerebral hemorrhage. CoRR abs/2408.00940 (2024)
[i116]
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  - journals/corr/abs-2408-01319
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Jiaqi Wang, Hanqi Jiang, Yiheng Liu, Chong Ma, Xu Zhang, Yi Pan, Mengyuan Liu, Peiran Gu, Sichen Xia, Wenjun Li, Yutong Zhang, Zihao Wu, Zhengliang Liu, Tianyang Zhong, Bao Ge, Tuo Zhang, Ning Qiang, Xintao Hu, Xi Jiang, Xin Zhang, Wei Zhang, Dinggang Shen, Tianming Liu, Shu Zhang:
A Comprehensive Review of Multimodal Large Language Models: Performance and Challenges Across Different Tasks. CoRR abs/2408.01319 (2024)
[i115]
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  - journals/corr/abs-2408-05803
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Lei Zhou, Yuzhong Zhang, Jiadong Zhang, Xuejun Qian, Chen Gong, Kun Sun, Zhongxiang Ding, Xing Wang, Zhenhui Li, Zaiyi Liu, Dinggang Shen:
Prototype Learning Guided Hybrid Network for Breast Tumor Segmentation in DCE-MRI. CoRR abs/2408.05803 (2024)
[i114]
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  - journals/corr/abs-2409-06324
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Jiuli Xiong, Lanzhuju Mei, Jiameng Liu, Dinggang Shen, Zhong Xue, Xiaohuan Cao:
SDF-Net: A Hybrid Detection Network for Mediastinal Lymph Node Detection on Contrast CT Images. CoRR abs/2409.06324 (2024)
[i113]
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  - journals/corr/abs-2409-16818
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Yulin Wang, Honglin Xiong, Kaicong Sun, Shuwei Bai, Ling Dai, Zhongxiang Ding, Jiameng Liu, Qian Wang, Qian Liu, Dinggang Shen:
Towards General Text-guided Image Synthesis for Customized Multimodal Brain MRI Generation. CoRR abs/2409.16818 (2024)
[i112]
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Tianyang Zhong, Zhengliang Liu, Yi Pan, Yutong Zhang, Yifan Zhou, Shizhe Liang, Zihao Wu, Yanjun Lyu, Peng Shu, Xiaowei Yu, Chao Cao, Hanqi Jiang, Hanxu Chen, Yiwei Li, Junhao Chen, Huawen Hu, Yihen Liu, Huaqin Zhao, Shaochen Xu, Haixing Dai, Lin Zhao, Ruidong Zhang, Wei Zhao, Zhenyuan Yang, Jingyuan Chen, Peilong Wang, Wei Ruan, Hui Wang, Huan Zhao, Jing Zhang, Yiming Ren, Shihuan Qin, Tong Chen, Jiaxi Li, Arif Hassan Zidan, Afrar Jahin, Minheng Chen, Sichen Xia, Jason Holmes, Yan Zhuang, Jiaqi Wang, Bochen Xu, Weiran Xia, Jichao Yu, Kaibo Tang, Yaxuan Yang, Bolun Sun, Tao Yang, Guoyu Lu, Xianqiao Wang, Lilong Chai, He Li, Jin Lu, Lichao Sun, Xin Zhang, Bao Ge, Xintao Hu, Lian Zhang, Hua Zhou, Lu Zhang, Shu Zhang, Ninghao Liu, Bei Jiang, Linglong Kong, Zhen Xiang, Yudan Ren, Jun Liu, Xi Jiang, Yu Bao, Wei Zhang, Xiang Li, Gang Li, Wei Liu, Dinggang Shen, Andrea Sikora, Xiaoming Zhai, Dajiang Zhu, Tianming Liu:
Evaluation of OpenAI o1: Opportunities and Challenges of AGI. CoRR abs/2409.18486 (2024)
2023
[j459]
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Xin Wang, Jun Wang, Fei Shan, Yiqiang Zhan, Jun Shi, Dinggang Shen:
Severity prediction of pulmonary diseases using chest CT scans via cost-sensitive label multi-kernel distribution learning. Comput. Biol. Medicine 159: 106890 (2023)
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Feihong Liu, Junwei Yang, Mingyue Feng, Zhiming Cui, Xiaowei He, Luping Zhou, Jun Feng, Dinggang Shen:
Does perfect filtering really guarantee perfect phase correction for diffusion MRI data? Comput. Medical Imaging Graph. 103: 102160 (2023)
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Xingyu Gao, Feng Shi, Dinggang Shen, Manhua Liu:
Multimodal transformer network for incomplete image generation and diagnosis of Alzheimer's disease. Comput. Medical Imaging Graph. 110: 102303 (2023)
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Jing Ke, Yiqing Shen, Yizhou Lu, Yi Guo, Dinggang Shen:
Mine local homogeneous representation by interaction information clustering with unsupervised learning in histopathology images. Comput. Methods Programs Biomed. 235: 107520 (2023)
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Bing Cao, Zhiwei Bi, Qinghua Hu, Han Zhang, Nannan Wang, Xinbo Gao, Dinggang Shen:
AutoEncoder-Driven Multimodal Collaborative Learning for Medical Image Synthesis. Int. J. Comput. Vis. 131(8): 1995-2014 (2023)
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Lei Ma, Chunfeng Lian, Dae-Seung Kim, Deqiang Xiao, Dongming Wei, Qin Liu, Tianshu Kuang, Maryam Ghanbari, Guoshi Li, Jaime Gateno, Steve Guo-Fang Shen, Li Wang, Dinggang Shen, James J. Xia, Pew-Thian Yap:
Bidirectional prediction of facial and bony shapes for orthognathic surgical planning. Medical Image Anal. 83: 102644 (2023)
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Zhenrong Shen, Xi Ouyang, Bin Xiao, Jie-Zhi Cheng, Dinggang Shen, Qian Wang:
Image synthesis with disentangled attributes for chest X-ray nodule augmentation and detection. Medical Image Anal. 84: 102708 (2023)
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Jing Ke, Yizhou Lu, Yiqing Shen, Junchao Zhu, Yijin Zhou, Jinghan Huang, Jieteng Yao, Xiaoyao Liang, Yi Guo, Zhonghua Wei, Sheng Liu, Qin Huang, Fusong Jiang, Dinggang Shen:
ClusterSeg: A crowd cluster pinpointed nucleus segmentation framework with cross-modality datasets. Medical Image Anal. 85: 102758 (2023)
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Zhengyang Jiao, Xingchen Peng, Yan Wang, Jianghong Xiao, Dong Nie, Xi Wu, Xin Wang, Jiliu Zhou, Dinggang Shen:
TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification. Medical Image Anal. 89: 102902 (2023)
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Lu Tang, Chuangeng Tian, Hang Yang, Zhiming Cui, Yu Hui, Kai Xu, Dinggang Shen:
TS-DSANN: Texture and shape focused dual-stream attention neural network for benign-malignant diagnosis of thyroid nodules in ultrasound images. Medical Image Anal. 89: 102905 (2023)
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Shengjie Zhang, Xiang Chen, Xin Shen, Bohan Ren, Ziqi Yu, Haibo Yang, Xi Jiang, Dinggang Shen, Yuan Zhou, Xiao-Yong Zhang:
A-GCL: Adversarial graph contrastive learning for fMRI analysis to diagnose neurodevelopmental disorders. Medical Image Anal. 90: 102932 (2023)
[j448]
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Jiadong Zhang, Zhiming Cui, Zhenwei Shi, Yingjia Jiang, Zhiliang Zhang, Xiaoting Dai, Zhenlu Yang, Yuning Gu, Lei Zhou, Chu Han, Xiaomei Huang, Chenglu Ke, Suyun Li, Zeyan Xu, Fei Gao, Luping Zhou, Rongpin Wang, Jun Liu, Jiayin Zhang, Zhongxiang Ding, Kun Sun, Zhenhui Li, Zaiyi Liu, Dinggang Shen:
A robust and efficient AI assistant for breast tumor segmentation from DCE-MRI via a spatial-temporal framework. Patterns 4(9): 100826 (2023)
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Xiangmin Han, Jun Wang, Shihui Ying, Jun Shi, Dinggang Shen:
ML-DSVM+: A meta-learning based deep SVM+ for computer-aided diagnosis. Pattern Recognit. 134: 109076 (2023)
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Tao Zhou, Yi Zhou, Kelei He, Chen Gong, Jian Yang, Huazhu Fu, Dinggang Shen:
Cross-level Feature Aggregation Network for Polyp Segmentation. Pattern Recognit. 140: 109555 (2023)
[j445]
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Zuowei Jiang, Xiaoyan Cai, Libin Yang, Dehong Gao, Wei Zhao, Junwei Han, Jun Liu, Dinggang Shen, Tianming Liu:
Learning to Summarize Chinese Radiology Findings With a Pre-Trained Encoder. IEEE Trans. Biomed. Eng. 70(12): 3277-3287 (2023)
[j444]
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Qi Zhu, Yuze Zhou, Yuan Yao, Liang Sun, Feng Shi, Wei Shao, Daoqiang Zhang, Dinggang Shen:
Semi-Supervised Multi-View Fusion for Identifying CAP and COVID-19 With Unlabeled CT Images. IEEE Trans. Emerg. Top. Comput. Intell. 7(3): 887-899 (2023)
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Hao Hou, Jun Xu, Yingkun Hou, Xiaotao Hu, Benzheng Wei, Dinggang Shen:
Semi-Cycled Generative Adversarial Networks for Real-World Face Super-Resolution. IEEE Trans. Image Process. 32: 1184-1199 (2023)
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Renping Yu, Han Zhang, Xuehai Wu, Xuan Fei, Qing Yang, Zhiwei Ma, Zengxin Qi, Di Zang, Weijun Tang, Ying Mao, Dinggang Shen:
Outcome Prediction of Unconscious Patients Based on Weighted Sparse Brain Network Construction. IEEE J. Biomed. Health Informatics 27(1): 469-479 (2023)
[j441]
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Shengjie Zhang, Bohan Ren, Ziqi Yu, Haibo Yang, Xiaoyang Han, Xiang Chen, Yuan Zhou, Dinggang Shen, Xiao-Yong Zhang:
TW-Net: Transformer Weighted Network for Neonatal Brain MRI Segmentation. IEEE J. Biomed. Health Informatics 27(2): 1072-1083 (2023)
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Renping Yu, Cong Pan, Xuan Fei, Mingming Chen, Dinggang Shen:
Multi-Graph Attention Networks With Bilinear Convolution for Diagnosis of Schizophrenia. IEEE J. Biomed. Health Informatics 27(3): 1443-1454 (2023)
[j439]
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Zhiyang Lu, Jian Wang, Zheng Li, Shihui Ying, Jun Wang, Jun Shi, Dinggang Shen:
Two-Stage Self-Supervised Cycle-Consistency Transformer Network for Reducing Slice Gap in MR Images. IEEE J. Biomed. Health Informatics 27(7): 3337-3348 (2023)
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Xingyu Gao, Hongrui Liu, Feng Shi, Dinggang Shen, Manhua Liu:
Brain Status Transferring Generative Adversarial Network for Decoding Individualized Atrophy in Alzheimer's Disease. IEEE J. Biomed. Health Informatics 27(10): 4961-4970 (2023)
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Chaolin Li, Mianxin Liu, Jing Xia, Lang Mei, Qing Yang, Feng Shi, Han Zhang, Dinggang Shen:
Individualized Assessment of Brain Aβ Deposition With fMRI Using Deep Learning. IEEE J. Biomed. Health Informatics 27(11): 5430-5438 (2023)
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Zixu Zhuang, Liping Si, Sheng Wang, Kai Xuan, Xi Ouyang, Yiqiang Zhan, Zhong Xue, Lichi Zhang, Dinggang Shen, Weiwu Yao, Qian Wang:
Knee Cartilage Defect Assessment by Graph Representation and Surface Convolution. IEEE Trans. Medical Imaging 42(2): 368-379 (2023)
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Yanbei Liu, Henan Li, Tao Luo, Changqing Zhang, Zhitao Xiao, Ying Wei, Yaozong Gao, Feng Shi, Fei Shan, Dinggang Shen:
Structural Attention Graph Neural Network for Diagnosis and Prediction of COVID-19 Severity. IEEE Trans. Medical Imaging 42(2): 557-567 (2023)
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Ruhan Liu, Tianqin Wang, Huating Li, Ping Zhang, Jing Li, Xiaokang Yang, Dinggang Shen, Bin Sheng:
TMM-Nets: Transferred Multi- to Mono-Modal Generation for Lupus Retinopathy Diagnosis. IEEE Trans. Medical Imaging 42(4): 1083-1094 (2023)
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Chong Wang, Zhiming Cui, Junwei Yang, Miaofei Han, Gustavo Carneiro, Dinggang Shen:
BowelNet: Joint Semantic-Geometric Ensemble Learning for Bowel Segmentation From Both Partially and Fully Labeled CT Images. IEEE Trans. Medical Imaging 42(4): 1225-1236 (2023)
[j432]
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Junwei Yang, Xiao-Xin Li, Feihong Liu, Dong Nie, Pietro Liò, Haikun Qi, Dinggang Shen:
Fast Multi-Contrast MRI Acquisition by Optimal Sampling of Information Complementary to Pre-Acquired MRI Contrast. IEEE Trans. Medical Imaging 42(5): 1363-1373 (2023)
[j431]
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Yiqing Shen, Arcot Sowmya, Yulin Luo, Xiaoyao Liang, Dinggang Shen, Jing Ke:
A Federated Learning System for Histopathology Image Analysis With an Orchestral Stain-Normalization GAN. IEEE Trans. Medical Imaging 42(7): 1969-1981 (2023)
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Caiwen Jiang, Yongsheng Pan, Zhiming Cui, Dong Nie, Dinggang Shen:
Semi-Supervised Standard-Dose PET Image Generation via Region-Adaptive Normalization and Structural Consistency Constraint. IEEE Trans. Medical Imaging 42(10): 2974-2987 (2023)
[j429]
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Linlin Yao, Feng Shi, Sheng Wang, Xiao Zhang, Zhong Xue, Xiaohuan Cao, Yiqiang Zhan, Lizhou Chen, Yuntian Chen, Bin Song, Qian Wang, Dinggang Shen:
TaG-Net: Topology-Aware Graph Network for Centerline-Based Vessel Labeling. IEEE Trans. Medical Imaging 42(11): 3155-3166 (2023)
[j428]
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Chong Ma, Lin Zhao, Yuzhong Chen, Sheng Wang, Lei Guo, Tuo Zhang, Dinggang Shen, Xi Jiang, Tianming Liu:
Eye-Gaze-Guided Vision Transformer for Rectifying Shortcut Learning. IEEE Trans. Medical Imaging 42(11): 3384-3394 (2023)
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Yonghao Li, Tao Zhou, Kelei He, Yi Zhou, Dinggang Shen:
Multi-Scale Transformer Network With Edge-Aware Pre-Training for Cross-Modality MR Image Synthesis. IEEE Trans. Medical Imaging 42(11): 3395-3407 (2023)
[j426]
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Jing Ke, Kai Liu, Yuxiang Sun, Yuying Xue, Jiaxuan Huang, Yizhou Lu, Jun Dai, Yaobing Chen, Xiaodan Han, Yiqing Shen, Dinggang Shen:
Artifact Detection and Restoration in Histology Images With Stain-Style and Structural Preservation. IEEE Trans. Medical Imaging 42(12): 3487-3500 (2023)
[j425]
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Yonghao Li, Yiqing Shen, Jiadong Zhang, Shujie Song, Zhenhui Li, Jing Ke, Dinggang Shen:
A Hierarchical Graph V-Net With Semi-Supervised Pre-Training for Histological Image Based Breast Cancer Classification. IEEE Trans. Medical Imaging 42(12): 3907-3918 (2023)
[j424]
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Jiadong Zhang, Zhiming Cui, Luping Zhou, Yiqun Sun, Zhenhui Li, Zaiyi Liu, Dinggang Shen:
Breast Fibroglandular Tissue Segmentation for Automated BPE Quantification With Iterative Cycle-Consistent Semi-Supervised Learning. IEEE Trans. Medical Imaging 42(12): 3944-3955 (2023)
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Shuai Wang, Kun Sun, Li Wang, Liangqiong Qu, Fuhua Yan, Qian Wang, Dinggang Shen:
Breast Tumor Segmentation in DCE-MRI With Tumor Sensitive Synthesis. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4990-5001 (2023)
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Sijie Niu, Kun Gao, Pengfei Ma, Xizhan Gao, Hui Zhao, Jiwen Dong, Yuehui Chen, Dinggang Shen:
Exploiting Sparse Self-Representation and Particle Swarm Optimization for CNN Compression. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10266-10278 (2023)
[c628]
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Yulong Dou, Lanzhuju Mei, Dinggang Shen, Zhiming Cui:
3D Structure-guided Network for Tooth Alignment in 2D Photograph. BMVC 2023: 322
[c627]
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Sheng Wang, Zihao Zhao, Lichi Zhang, Dinggang Shen, Qian Wang:
Crafting Good Views of Medical Images for Contrastive Learning via Expert-level Visual Attention. Gaze Meets ML 2023: 266-279
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Caiwen Jiang, Yongsheng Pan, Tianyu Wang, Qing Chen, Junwei Yang, Li Ding, Jiameng Liu, Zhongxiang Ding, Dinggang Shen:
S2DGAN: Generating Dual-energy CT from Single-energy CT for Real-time Determination of Intracerebral Hemorrhage. IPMI 2023: 375-387
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Shijie Huang, Geng Chen, Kaicong Sun, Zhiming Cui, Xukun Zhang, Peng Xue, Xuan Zhang, He Zhang, Dinggang Shen:
Super-Resolution Reconstruction of Fetal Brain MRI with Prior Anatomical Knowledge. IPMI 2023: 428-441
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Caiwen Jiang, Yongsheng Pan, Dinggang Shen:
TriDoRNet: Reconstruction of Standard-Dose Pet from Low-Dose Pet in Triple (Projection, Image, and Frequency) Domains. ISBI 2023: 1-5
[c623]
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Xibao Li, Xi Ouyang, Jiadong Zhang, Dongdong Gu, Zehong Cao, Zhongxiang Ding, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Yuyao Zhang, Feng Shi, Dinggang Shen:
MT-NeT: Multi-Modality Transfer Learning Network for Automated Carotid Vessel Wall Segmentation using Sparse Annotation in MRI. ISBI 2023: 1-4
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Xiaozhao Liu, Mianxin Liu, Lang Mei, Yuyao Zhang, Feng Shi, Han Zhang, Dinggang Shen:
Mining Fmri Dynamics with Parcellation Prior for Brain Disease Diagnosis. ISBI 2023: 1-5
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Yuxiao Liu, Mianxin Liu, Yuanwang Zhang, Dinggang Shen:
Learning Hierarchical-Order Functional Connectivity Networks for Mild Cognitive Impairment Diagnosis. ISBI 2023: 1-5
[c620]
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Jiyuan Liu, Xiao Zhang, Dongdong Gu, Xi Ouyang, Jiadong Zhang, Xuming He, Dinggang Shen, Zhong Xue:
Semi-Supervised Domain-Adaptive Pulmonary Artery Segmentation via Uncertainty Guidance and Shape Strengthening. ISBI 2023: 1-4
[c619]
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Runqi Meng, Xiao Zhang, Shijie Huang, Yuning Gu, Guangyu Wu, Guiqin Liu, Dinggang Shen:
Location-Guided Multi-Modality Collaborative Learning for Prostate Tumor Segmentation. ISBI 2023: 1-4
[c618]
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  - conf/isbi/TangFMZCS23
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Minhui Tang, Yu Fang, Lei Ma, Yu Zhang, Zhiming Cui, Dinggang Shen:
Dental Anatomy Segmentation from Cone Beam CT Images. ISBI 2023: 1-4
[c617]
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Xiaoxian Xu, Ying Wei, Jie Zheng, Zhongxiang Ding, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Feng Shi, Dinggang Shen:
Multi-Scale Supervised Contrastive Learning for Benign-Malignant Classification of Pulmonary Nodules in Chest Ct Scans. ISBI 2023: 1-4
[c616]
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Yuanwang Zhang, Kaicong Sun, Yuxiao Liu, Dinggang Shen:
Transformer-Based Multimodal Fusion for Early Diagnosis of Alzheimer's Disease Using Structural MRI And PET. ISBI 2023: 1-5
[c615]
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Caiwen Jiang, Yongsheng Pan, Mianxin Liu, Lei Ma, Xiao Zhang, Jiameng Liu, Xiaosong Xiong, Dinggang Shen:
PET-Diffusion: Unsupervised PET Enhancement Based on the Latent Diffusion Model. MICCAI (1) 2023: 3-12
[c614]
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Yongsheng Pan, Feihong Liu, Caiwen Jiang, Jiawei Huang, Yong Xia, Dinggang Shen:
Revealing Anatomical Structures in PET to Generate CT for Attenuation Correction. MICCAI (10) 2023: 24-33
[c613]
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  - conf/miccai/GaoSSL23
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Xingyu Gao, Feng Shi, Dinggang Shen, Manhua Liu:
Feature-Based Transformer with Incomplete Multimodal Brain Images for Diagnosis of Neurodegenerative Diseases. PRIME@MICCAI 2023: 25-34
[c612]
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Lanzhuju Mei, Yu Fang, Zhiming Cui, Ke Deng, Nizhuan Wang, Xuming He, Yiqiang Zhan, Xiang Zhou, Maurizio Tonetti, Dinggang Shen:
HC-Net: Hybrid Classification Network for Automatic Periodontal Disease Diagnosis. MICCAI (6) 2023: 54-63
[c611]
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Jiameng Liu, Feihong Liu, Kaicong Sun, Mianxin Liu, Yuhang Sun, Yuyan Ge, Dinggang Shen:
Adult-Like Phase and Multi-scale Assistance for Isointense Infant Brain Tissue Segmentation. MICCAI (4) 2023: 56-66
[c610]
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Changkai Ji, Changde Du, Qing Zhang, Sheng Wang, Chong Ma, Jiaming Xie, Yan Zhou, Huiguang He, Dinggang Shen:
Mammo-Net: Integrating Gaze Supervision and Interactive Information in Multi-view Mammogram Classification. MICCAI (7) 2023: 68-78
[c609]
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Meiyu Li, Kaicong Sun, Yuning Gu, Kai Zhang, Yiqun Sun, Zhenhui Li, Dinggang Shen:
Developing Large Pre-trained Model for Breast Tumor Segmentation from Ultrasound Images. MICCAI (7) 2023: 89-96
[c608]
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Jiadong Zhang, Qianqian Chen, Luping Zhou, Zhiming Cui, Fei Gao, Zhenhui Li, Qianjin Feng, Dinggang Shen:
MoSID: Modality-Specific Information Disentanglement from Multi-parametric MRI for Breast Tumor Segmentation. CaPTion@MICCAI 2023: 94-104
[c607]
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Yuxiao Liu, Mianxin Liu, Yuanwang Zhang, Dinggang Shen:
Development and Fast Transferring of General Connectivity-Based Diagnosis Model to New Brain Disorders with Adaptive Graph Meta-Learner. MICCAI (8) 2023: 99-108
[c606]
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Zixu Zhuang, Xin Wang, Sheng Wang, Zhenrong Shen, Xiangyu Zhao, Mengjun Liu, Zhong Xue, Dinggang Shen, Lichi Zhang, Qian Wang:
CAS-Net: Cross-View Aligned Segmentation by Graph Representation of Knees. MICCAI (4) 2023: 110-119
[c605]
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  - conf/miccai/PistosLLSR23
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Michalis Pistos, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik:
Federated Multi-trajectory GNNs Under Data Limitations for Baby Brain Connectivity Forecasting. PRIME@MICCAI 2023: 120-133
[c604]
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Han Wu, Jiadong Zhang, Yu Fang, Zhentao Liu, Nizhuan Wang, Zhiming Cui, Dinggang Shen:
Multi-view Vertebra Localization and Identification from CT Images. MICCAI (5) 2023: 136-145
[c603]
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Jiaqi Cui, Pinxian Zeng, Xinyi Zeng, Peng Wang, Xi Wu, Jiliu Zhou, Yan Wang, Dinggang Shen:
TriDo-Former: A Triple-Domain Transformer for Direct PET Reconstruction from Low-Dose Sinograms. MICCAI (10) 2023: 184-194
[c602]
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Chenyu Xue, Fan Wang, Yuanzhuo Zhu, Hui Li, Deyu Meng, Dinggang Shen, Chunfeng Lian:
NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical Development Patterns of Preterm Infants. MICCAI (2) 2023: 202-211
[c601]
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Zeyu Han, Yuhan Wang, Luping Zhou, Peng Wang, Binyu Yan, Jiliu Zhou, Yan Wang, Dinggang Shen:
Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction. MICCAI (10) 2023: 239-249
[c600]
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Wenqi Zhou, Xiao Zhang, Dongdong Gu, Sheng Wang, Jiayu Huo, Rui Zhang, Zhihao Jiang, Feng Shi, Zhong Xue, Yiqiang Zhan, Xi Ouyang, Dinggang Shen:
HENet: Hierarchical Enhancement Network for Pulmonary Vessel Segmentation in Non-contrast CT Images. MICCAI (3) 2023: 551-560
[c599]
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  - conf/miccai/QiuLWDWYHS23
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Yuehui Qiu, Zihan Li, Yining Wang, Pei Dong, Dijia Wu, Xinnian Yang, Qingqi Hong, Dinggang Shen:
CorSegRec: A Topology-Preserving Scheme for Extracting Fully-Connected Coronary Arteries from CT Angiography. MICCAI (3) 2023: 670-680
[c598]
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Xiao Zhang, Feihong Liu, Yuning Gu, Xiaosong Xiong, Caiwen Jiang, Jun Feng, Dinggang Shen:
SPR-Net: Structural Points Based Registration for Coronary Arteries Across Systolic and Diastolic Phases. MICCAI (7) 2023: 791-801
[c597]
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Feihong Liu, Yongsheng Pan, Junwei Yang, Fang Xie, Xiaowei He, Han Zhang, Feng Shi, Jun Feng, Qihao Guo, Dinggang Shen:
Identifying Alzheimer's Disease-Induced Topology Alterations in Structural Networks Using Convolutional Neural Networks. MLMI@MICCAI (2) 2023: 33-42
[c596]
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  - conf/mlmi-ws/YangGZDGXS23
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Yimeng Yang, Dongdong Gu, Xukun Zhang, Zhongxiang Ding, Fei Gao, Zhong Xue, Dinggang Shen:
Reconstruction of 3D Fetal Brain MRI from 2D Cross-Sectional Acquisitions Using Unsupervised Learning Network. MLMI@MICCAI (1) 2023: 33-41
[c595]
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Qingxia Wu, Hongna Tan, Zhi Qiao, Pei Dong, Dinggang Shen, Meiyun Wang, Zhong Xue:
Cross-view Contrastive Mutual Learning Across Masked Autoencoders for Mammography Diagnosis. MLMI@MICCAI (2) 2023: 74-83
[c594]
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Nan Zhao, Yongsheng Pan, Kaicong Sun, Yuning Gu, Mianxin Liu, Zhong Xue, Han Zhang, Qing Yang, Fei Gao, Feng Shi, Dinggang Shen:
Modeling Life-Span Brain Age from Large-Scale Dataset Based on Multi-level Information Fusion. MLMI@MICCAI (2) 2023: 84-93
[c593]
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Lei Zhao, Lei Ma, Zhiming Cui, Jie Zheng, Zhong Xue, Feng Shi, Dinggang Shen:
FAST-Net: A Coarse-to-fine Pyramid Network for Face-Skull Transformation. MLMI@MICCAI (2) 2023: 104-113
[c592]
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Shanshan Guo, Jiadong Zhang, Dongdong Gu, Fei Gao, Yiqiang Zhan, Zhong Xue, Dinggang Shen:
Contrastive Learning-Based Breast Tumor Segmentation in DCE-MRI. MLMI@MICCAI (1) 2023: 157-165
[c591]
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  - conf/mlmi-ws/SunLLSZSFS23
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Yuhang Sun, Jiameng Liu, Feihong Liu, Kaicong Sun, Han Zhang, Feng Shi, Qianjin Feng, Dinggang Shen:
Consistent and Accurate Segmentation for Serial Infant Brain MR Images with Registration Assistance. MLMI@MICCAI (1) 2023: 186-195
[c590]
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Yuanwang Zhang, Kaicong Sun, Yuxiao Liu, Zaixin Ou, Dinggang Shen:
Vector Quantized Multi-modal Guidance for Alzheimer's Disease Diagnosis Based on Feature Imputation. MLMI@MICCAI (1) 2023: 403-412
[c589]
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Zhengliang Liu, Aoxiao Zhong, Yiwei Li, Longtao Yang, Chao Ju, Zihao Wu, Chong Ma, Peng Shu, Cheng Chen, Sekeun Kim, Haixing Dai, Lin Zhao, Dajiang Zhu, Jun Liu, Wei Liu, Dinggang Shen, Quanzheng Li, Tianming Liu, Xiang Li:
Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain. MLMI@MICCAI (1) 2023: 464-473
[c588]
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Tianli Tao, Jiawei Huang, Feihong Liu, Mianxin Liu, Liang-hu Guo, Xinyi Cai, Zhuoyang Gu, Haifeng Tang, Rui Zhou, Siyan Han, Lixuan Zhu, Qing Yang, Dinggang Shen, Han Zhang:
Regionalized Infant Brain Cortical Development Based on Multi-view, High-Level fMRI Fingerprint. MLMI@MICCAI (2) 2023: 467-475
[i111]
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  - journals/corr/abs-2301-00815
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Chenyu Xue, Fan Wang, Yuanzhuo Zhu, Hui Li, Deyu Meng, Dinggang Shen, Chunfeng Lian:
NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical Development Patterns of Preterm Infants. CoRR abs/2301.00815 (2023)
[i110]
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  - journals/corr/abs-2302-07257
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Sheng Wang, Zihao Zhao, Xi Ouyang, Qian Wang, Dinggang Shen:
ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using Large Language Models. CoRR abs/2302.07257 (2023)
[i109]
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  - journals/corr/abs-2302-11871
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Mianxin Liu, Jingyang Zhang, Yao Wang, Yan Zhou, Fang Xie, Qihao Guo, Feng Shi, Han Zhang, Qian Wang, Dinggang Shen:
Deep learning reveals the common spectrum underlying multiple brain disorders in youth and elders from brain functional networks. CoRR abs/2302.11871 (2023)
[i108]
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  - journals/corr/abs-2302-13007
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Haixing Dai, Zhengliang Liu, Wenxiong Liao, Xiaoke Huang, Zihao Wu, Lin Zhao, Wei Liu, Ninghao Liu, Sheng Li, Dajiang Zhu, Hongmin Cai, Quanzheng Li, Dinggang Shen, Tianming Liu, Xiang Li:
ChatAug: Leveraging ChatGPT for Text Data Augmentation. CoRR abs/2302.13007 (2023)
[i107]
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  - journals/corr/abs-2303-04595
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Peng Xue, Jingyang Zhang, Lei Ma, Mianxin Liu, Yuning Gu, Jiawei Huang, Feihong Liu, Yongsheng Pan, Xiaohuan Cao, Dinggang Shen:
Structure-aware registration network for liver DCE-CT images. CoRR abs/2303.04595 (2023)
[i106]
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  - journals/corr/abs-2303-11032
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Zhengliang Liu, Xiaowei Yu, Lu Zhang, Zihao Wu, Chao Cao, Haixing Dai, Lin Zhao, Wei Liu, Dinggang Shen, Quanzheng Li, Tianming Liu, Dajiang Zhu, Xiang Li:
DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4. CoRR abs/2303.11032 (2023)
[i105]
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  - journals/corr/abs-2303-14739
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Zhentao Liu, Yu Fang, Changjian Li, Han Wu, Yuan Liu, Zhiming Cui, Dinggang Shen:
Geometry-Aware Attenuation Field Learning for Sparse-View CBCT Reconstruction. CoRR abs/2303.14739 (2023)
[i104]
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  - journals/corr/abs-2303-15935
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Lin Zhao, Lu Zhang, Zihao Wu, Yuzhong Chen, Haixing Dai, Xiaowei Yu, Zhengliang Liu, Tuo Zhang, Xintao Hu, Xi Jiang, Xiang Li, Dajiang Zhu, Dinggang Shen, Tianming Liu:
When Brain-inspired AI Meets AGI. CoRR abs/2303.15935 (2023)
[i103]
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  - journals/corr/abs-2304-01097
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Honglin Xiong, Sheng Wang, Yitao Zhu, Zihao Zhao, Yuxiao Liu, Linlin Huang, Qian Wang, Dinggang Shen:
DoctorGLM: Fine-tuning your Chinese Doctor is not a Herculean Task. CoRR abs/2304.01097 (2023)
[i102]
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  - journals/corr/abs-2304-01852
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Yiheng Liu, Tianle Han, Siyuan Ma, Jiayue Zhang, Yuanyuan Yang, Jiaming Tian, Hao He, Antong Li, Mengshen He, Zhengliang Liu, Zihao Wu, Dajiang Zhu, Xiang Li, Ning Qiang, Dinggang Shen, Tianming Liu, Bao Ge:
Summary of ChatGPT/GPT-4 Research and Perspective Towards the Future of Large Language Models. CoRR abs/2304.01852 (2023)
[i101]
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  - journals/corr/abs-2304-03556
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Lei Ma, Jingyang Zhang, Ke Deng, Peng Xue, Zhiming Cui, Yu Fang, Minhui Tang, Yue Zhao, Min Zhu, Zhongxiang Ding, Dinggang Shen:
Construction of unbiased dental template and parametric dental model for precision digital dentistry. CoRR abs/2304.03556 (2023)
[i100]
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  - journals/corr/abs-2304-08448
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Chong Ma, Zihao Wu, Jiaqi Wang, Shaochen Xu, Yaonai Wei, Zhengliang Liu, Lei Guo, Xiaoyan Cai, Shu Zhang, Tuo Zhang, Dajiang Zhu, Dinggang Shen, Tianming Liu, Xiang Li:
ImpressionGPT: An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPT. CoRR abs/2304.08448 (2023)
[i99]
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  - journals/corr/abs-2304-09138
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Zihao Wu, Lu Zhang, Chao Cao, Xiaowei Yu, Haixing Dai, Chong Ma, Zhengliang Liu, Lin Zhao, Gang Li, Wei Liu, Quanzheng Li, Dinggang Shen, Xiang Li, Dajiang Zhu, Tianming Liu:
Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task. CoRR abs/2304.09138 (2023)
[i98]
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  - journals/corr/abs-2304-10226
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Zheren Li, Zhiming Cui, Lichi Zhang, Sheng Wang, Chenjin Lei, Xi Ouyang, Dongdong Chen, Zixu Zhuang, Xiangyu Zhao, Yajia Gu, Zaiyi Liu, Chunling Liu, Dinggang Shen, Jie-Zhi Cheng:
Domain Generalization for Mammographic Image Analysis via Contrastive Learning. CoRR abs/2304.10226 (2023)
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  - journals/corr/abs-2304-11107
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Tianyang Zhong, Yaonai Wei, Li Yang, Zihao Wu, Zhengliang Liu, Xiaozheng Wei, Wenjun Li, Junjie Yao, Chong Ma, Xiang Li, Dajiang Zhu, Xi Jiang, Junwei Han, Dinggang Shen, Tianming Liu, Tuo Zhang:
ChatABL: Abductive Learning via Natural Language Interaction with ChatGPT. CoRR abs/2304.11107 (2023)
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  - journals/corr/abs-2304-14670
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Jiaqi Wang, Enze Shi, Sigang Yu, Zihao Wu, Chong Ma, Haixing Dai, Qiushi Yang, Yanqing Kang, Jinru Wu, Huawen Hu, Chenxi Yue, Haiyang Zhang, Yiheng Liu, Xiang Li, Bao Ge, Dajiang Zhu, Yixuan Yuan, Dinggang Shen, Tianming Liu, Shu Zhang:
Prompt Engineering for Healthcare: Methodologies and Applications. CoRR abs/2304.14670 (2023)
[i95]
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  - journals/corr/abs-2305-00201
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Zhenxiang Xiao, Yuzhong Chen, Lu Zhang, Junjie Yao, Zihao Wu, Xiaowei Yu, Yi Pan, Lin Zhao, Chong Ma, Xinyu Liu, Wei Liu, Xiang Li, Yixuan Yuan, Dinggang Shen, Dajiang Zhu, Tianming Liu, Xi Jiang:
Instruction-ViT: Multi-Modal Prompts for Instruction Learning in ViT. CoRR abs/2305.00201 (2023)
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  - journals/corr/abs-2305-02774
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Qi Wang, Zhijie Wen, Jun Shi, Qian Wang, Dinggang Shen, Shihui Ying:
Spatial and Modal Optimal Transport for Fast Cross-Modal MRI Reconstruction. CoRR abs/2305.02774 (2023)
[i93]
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  - journals/corr/abs-2305-08826
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Sheng Wang, Zixu Zhuang, Xi Ouyang, Lichi Zhang, Zheren Li, Chong Ma, Tianming Liu, Dinggang Shen, Qian Wang:
Learning Better Contrastive View from Radiologist's Gaze. CoRR abs/2305.08826 (2023)
[i92]
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  - journals/corr/abs-2305-15964
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Zihao Zhao, Sheng Wang, Jinchen Gu, Yitao Zhu, Lanzhuju Mei, Zixu Zhuang, Zhiming Cui, Qian Wang, Dinggang Shen:
ChatCAD+: Towards a Universal and Reliable Interactive CAD using LLMs. CoRR abs/2305.15964 (2023)
[i91]
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  - journals/corr/abs-2306-05480
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Xiang Li, Lu Zhang, Zihao Wu, Zhengliang Liu, Lin Zhao, Yixuan Yuan, Jun Liu, Gang Li, Dajiang Zhu, Pingkuan Yan, Quanzheng Li, Wei Liu, Tianming Liu, Dinggang Shen:
Artificial General Intelligence for Medical Imaging. CoRR abs/2306.05480 (2023)
[i90]
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  - journals/corr/abs-2306-08666
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Zhengliang Liu, Aoxiao Zhong, Yiwei Li, Longtao Yang, Chao Ju, Zihao Wu, Chong Ma, Peng Shu, Cheng Chen, Sekeun Kim, Haixing Dai, Lin Zhao, Dajiang Zhu, Jun Liu, Wei Liu, Dinggang Shen, Xiang Li, Quanzheng Li, Tianming Liu:
Radiology-GPT: A Large Language Model for Radiology. CoRR abs/2306.08666 (2023)
[i89]
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  - journals/corr/abs-2307-00855
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Jiaqi Wang, Zhengliang Liu, Lin Zhao, Zihao Wu, Chong Ma, Sigang Yu, Haixing Dai, Qiushi Yang, Yiheng Liu, Songyao Zhang, Enze Shi, Yi Pan, Tuo Zhang, Dajiang Zhu, Xiang Li, Xi Jiang, Bao Ge, Yixuan Yuan, Dinggang Shen, Tianming Liu, Shu Zhang:
Review of Large Vision Models and Visual Prompt Engineering. CoRR abs/2307.00855 (2023)
[i88]
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Lei Ma, Peng Xue, Yuning Gu, Yue Zhao, Min Zhu, Zhongxiang Ding, Dinggang Shen:
Accurate 3D Prediction of Missing Teeth in Diverse Patterns for Precise Dental Implant Planning. CoRR abs/2307.07953 (2023)
[i87]
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  - journals/corr/abs-2307-12845
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Han Wu, Jiadong Zhang, Yu Fang, Zhentao Liu, Nizhuan Wang, Zhiming Cui, Dinggang Shen:
Multi-View Vertebra Localization and Identification from CT Images. CoRR abs/2307.12845 (2023)
[i86]
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  - journals/corr/abs-2307-13693
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Zhengliang Liu, Tianyang Zhong, Yiwei Li, Yutong Zhang, Yi Pan, Zihao Zhao, Peixin Dong, Chao Cao, Yuxiao Liu, Peng Shu, Yaonai Wei, Zihao Wu, Chong Ma, Jiaqi Wang, Sheng Wang, Mengyue Zhou, Zuowei Jiang, Chunlin Li, Jason Holmes, Shaochen Xu, Lu Zhang, Haixing Dai, Kai Zhang, Lin Zhao, Yuanhao Chen, Xu Liu, Peilong Wang, Pingkun Yan, Jun Liu, Bao Ge, Lichao Sun, Dajiang Zhu, Xiang Li, Wei Liu, Xiaoyan Cai, Xintao Hu, Xi Jiang, Shu Zhang, Xin Zhang, Tuo Zhang, Shijie Zhao, Quanzheng Li, Hongtu Zhu, Dinggang Shen, Tianming Liu:
Evaluating Large Language Models for Radiology Natural Language Processing. CoRR abs/2307.13693 (2023)
[i85]
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  - journals/corr/abs-2308-05365
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Jiaqi Cui, Pinxian Zeng, Xinyi Zeng, Peng Wang, Xi Wu, Jiliu Zhou, Yan Wang, Dinggang Shen:
TriDo-Former: A Triple-Domain Transformer for Direct PET Reconstruction from Low-Dose Sinograms. CoRR abs/2308.05365 (2023)
[i84]
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Shijie Huang, Xukun Zhang, Zhiming Cui, He Zhang, Geng Chen, Dinggang Shen:
Tissue Segmentation of Thick-Slice Fetal Brain MR Scans with Guidance from High-Quality Isotropic Volumes. CoRR abs/2308.06762 (2023)
[i83]
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  - journals/corr/abs-2308-10157
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Zeyu Han, Yuhan Wang, Luping Zhou, Peng Wang, Binyu Yan, Jiliu Zhou, Yan Wang, Dinggang Shen:
Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction. CoRR abs/2308.10157 (2023)
[i82]
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  - journals/corr/abs-2309-06419
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Zhengliang Liu, Yiwei Li, Peng Shu, Aoxiao Zhong, Longtao Yang, Chao Ju, Zihao Wu, Chong Ma, Jie Luo, Cheng Chen, Sekeun Kim, Jiang Hu, Haixing Dai, Lin Zhao, Dajiang Zhu, Jun Liu, Wei Liu, Dinggang Shen, Tianming Liu, Quanzheng Li, Xiang Li:
Radiology-Llama2: Best-in-Class Large Language Model for Radiology. CoRR abs/2309.06419 (2023)
[i81]
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  - journals/corr/abs-2310-05242
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Tianyang Zhong, Wei Zhao, Yutong Zhang, Yi Pan, Peixin Dong, Zuowei Jiang, Xiaoyan Kui, Youlan Shang, Li Yang, Yaonai Wei, Longtao Yang, Hao Chen, Huan Zhao, Yuxiao Liu, Ning Zhu, Yiwei Li, Yisong Wang, Jiaqi Yao, Jiaqi Wang, Ying Zeng, Lei He, Chao Zheng, Zhixue Zhang, Ming Li, Zhengliang Liu, Haixing Dai, Zihao Wu, Lu Zhang, Shu Zhang, Xiaoyan Cai, Xintao Hu, Shijie Zhao, Xi Jiang, Xin Zhang, Xiang Li, Dajiang Zhu, Lei Guo, Dinggang Shen, Junwei Han, Tianming Liu, Jun Liu, Tuo Zhang:
ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Data. CoRR abs/2310.05242 (2023)
[i80]
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  - journals/corr/abs-2310-11106
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Yulong Dou, Lanzhuju Mei, Dinggang Shen, Zhiming Cui:
3D Structure-guided Network for Tooth Alignment in 2D Photograph. CoRR abs/2310.11106 (2023)
[i79]
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  - journals/corr/abs-2311-08236
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Yitao Zhu, Zhenrong Shen, Zihao Zhao, Sheng Wang, Xin Wang, Xiangyu Zhao, Dinggang Shen, Qian Wang:
MeLo: Low-rank Adaptation is Better than Fine-tuning for Medical Image Diagnosis. CoRR abs/2311.08236 (2023)
[i78]
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  - journals/corr/abs-2311-09590
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Yuxuan Shi, Jun Xu, Dinggang Shen:
MARformer: An Efficient Metal Artifact Reduction Transformer for Dental CBCT Images. CoRR abs/2311.09590 (2023)
[i77]
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  - journals/corr/abs-2312-05256
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Zhengliang Liu, Hanqi Jiang, Tianyang Zhong, Zihao Wu, Chong Ma, Yiwei Li, Xiaowei Yu, Yutong Zhang, Yi Pan, Peng Shu, Yanjun Lyu, Lu Zhang, Junjie Yao, Peixin Dong, Chao Cao, Zhenxiang Xiao, Jiaqi Wang, Huan Zhao, Shaochen Xu, Yaonai Wei, Jingyuan Chen, Haixing Dai, Peilong Wang, Hao He, Zewei Wang, Xinyu Wang, Xu Zhang, Lin Zhao, Yiheng Liu, Kai Zhang, Liheng Yan, Lichao Sun, Jun Liu, Ning Qiang, Bao Ge, Xiaoyan Cai, Shijie Zhao, Xintao Hu, Yixuan Yuan, Gang Li, Shu Zhang, Xin Zhang, Xi Jiang, Tuo Zhang, Dinggang Shen, Quanzheng Li, Wei Liu, Xiang Li, Dajiang Zhu, Tianming Liu:
Holistic Evaluation of GPT-4V for Biomedical Imaging. CoRR abs/2312.05256 (2023)
[i76]
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  - journals/corr/abs-2312-06069
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Zihao Zhao, Sheng Wang, Qian Wang, Dinggang Shen:
Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis. CoRR abs/2312.06069 (2023)
[i75]
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  - journals/corr/abs-2312-07353
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Zihao Zhao, Yuxiao Liu, Han Wu, Yonghao Li, Sheng Wang, Lin Teng, Disheng Liu, Zhiming Cui, Qian Wang, Dinggang Shen:
CLIP in Medical Imaging: A Comprehensive Survey. CoRR abs/2312.07353 (2023)
2022
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Xiao Jiang, Lishan Qiao, Renato De Leone, Dinggang Shen:
Joint selection of brain network nodes and edges for MCI identification. Comput. Methods Programs Biomed. 225: 107082 (2022)
[j420]
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Xiaoyan Cai, Sen Liu, Libin Yang, Yan Lu, Jintao Zhao, Dinggang Shen, Tianming Liu:
COVIDSum: A linguistically enriched SciBERT-based summarization model for COVID-19 scientific papers. J. Biomed. Informatics 127: 103999 (2022)
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Bo Zhan, Luping Zhou, Zhiang Li, Xi Wu, Yifei Pu, Jiliu Zhou, Yan Wang, Dinggang Shen:
D2FE-GAN: Decoupled dual feature extraction based GAN for MRI image synthesis. Knowl. Based Syst. 252: 109362 (2022)
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  - journals/mia/LiuYXYSL22
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Yunbi Liu, Ling Yue, Shifu Xiao, Wei Yang, Dinggang Shen, Mingxia Liu:
Assessing clinical progression from subjective cognitive decline to mild cognitive impairment with incomplete multi-modal neuroimages. Medical Image Anal. 75: 102266 (2022)
[j417]
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Jun Wang, Fengyexin Zhang, Xiuyi Jia, Xin Wang, Han Zhang, Shihui Ying, Qian Wang, Jun Shi, Dinggang Shen:
Multi-Class ASD Classification via Label Distribution Learning with Class-Shared and Class-Specific Decomposition. Medical Image Anal. 75: 102294 (2022)
[j416]
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Yanmei Luo, Luping Zhou, Bo Zhan, Fei-Yue Wang, Jiliu Zhou, Yan Wang, Dinggang Shen:
Adaptive rectification based adversarial network with spectrum constraint for high-quality PET image synthesis. Medical Image Anal. 77: 102335 (2022)
[j415]
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Pu Huang, Dengwang Li, Zhicheng Jiao, Dongming Wei, Bing Cao, Zhanhao Mo, Qian Wang, Han Zhang, Dinggang Shen:
Common feature learning for brain tumor MRI synthesis by context-aware generative adversarial network. Medical Image Anal. 79: 102472 (2022)
[j414]
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Jiayu Huo, Xi Ouyang, Liping Si, Kai Xuan, Sheng Wang, Weiwu Yao, Ying Liu, Jia Xu, Dahong Qian, Zhong Xue, Qian Wang, Dinggang Shen, Lichi Zhang:
Automatic Grading Assessments for Knee MRI Cartilage Defects via Self-ensembling Semi-supervised Learning with Dual-Consistency. Medical Image Anal. 80: 102508 (2022)
[j413]
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Xuyang Cao, Houjin Chen, Yanfeng Li, Yahui Peng, Yue Zhou, Lin Cheng, Tianming Liu, Dinggang Shen:
Auto-DenseUNet: Searchable neural network architecture for mass segmentation in 3D automated breast ultrasound. Medical Image Anal. 82: 102589 (2022)
[j412]
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Sihang Zhou, Dong Nie, Ehsan Adeli, Qian Wei, Xuhua Ren, Xinwang Liu, En Zhu, Jianping Yin, Qian Wang, Dinggang Shen:
Semantic instance segmentation with discriminative deep supervision for medical images. Medical Image Anal. 82: 102626 (2022)
[j411]
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  - journals/neuroimage/HeoSHLZSK22
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Keun-Soo Heo, Dong-Hee Shin, Sheng-Che Hung, Weili Lin, Han Zhang, Dinggang Shen, Tae-Eui Kam:
Deep attentive spatio-temporal feature learning for automatic resting-state fMRI denoising. NeuroImage 254: 119127 (2022)
[j410]
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  - journals/ni/GhanbariZHHSYZS22
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Maryam Ghanbari, Zhen Zhou, Li-Ming Hsu, Ying Han, Yu Sun, Pew-Thian Yap, Han Zhang, Dinggang Shen:
Altered Connectedness of the Brain Chronnectome During the Progression to Alzheimer's Disease. Neuroinformatics 20(2): 391-403 (2022)
[j409]
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  - journals/pami/PanLXS22
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Yongsheng Pan, Ming-Xia Liu, Yong Xia, Dinggang Shen:
Disease-Image-Specific Learning for Diagnosis-Oriented Neuroimage Synthesis With Incomplete Multi-Modality Data. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6839-6853 (2022)
[j408]
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  - journals/patterns/LiuWWDFYSTLGGPL22
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Ruhan Liu, Xiangning Wang, Qiang Wu, Ling Dai, Xi Fang, Tao Yan, Jaemin Son, Shiqi Tang, Jiang Li, Zijian Gao, Adrian Galdran, J. M. Poorneshwaran, Hao Liu, Jie Wang, Yerui Chen, Prasanna Porwal, Gavin Siew Wei Tan, Xiaokang Yang, Chao Dai, Haitao Song, Mingang Chen, Huating Li, Weiping Jia, Dinggang Shen, Bin Sheng, Ping Zhang:
DeepDRiD: Diabetic Retinopathy - Grading and Image Quality Estimation Challenge. Patterns 3(6): 100512 (2022)
[j407]
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Xiaoming Liu, Quan Yuan, Yaozong Gao, Kelei He, Shuo Wang, Xiao Tang, Jinshan Tang, Dinggang Shen:
Weakly Supervised Segmentation of COVID19 Infection with Scribble Annotation on CT Images. Pattern Recognit. 122: 108341 (2022)
[j406]
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Jie Wei, Zhengwang Wu, Li Wang, Toan Duc Bui, Liangqiong Qu, Pew-Thian Yap, Yong Xia, Gang Li, Dinggang Shen:
A cascaded nested network for 3T brain MR image segmentation guided by 7T labeling. Pattern Recognit. 124: 108420 (2022)
[j405]
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Lei Zhou, Shuai Wang, Kun Sun, Tao Zhou, Fuhua Yan, Dinggang Shen:
Three-dimensional affinity learning based multi-branch ensemble network for breast tumor segmentation in MRI. Pattern Recognit. 129: 108723 (2022)
[j404]
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  - journals/tbe/XueZZLQS22
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Yanfang Xue, Yining Zhang, Limei Zhang, Seong-Whan Lee, Lishan Qiao, Dinggang Shen:
Learning Brain Functional Networks With Latent Temporal Dependency for MCI Identification. IEEE Trans. Biomed. Eng. 69(2): 590-601 (2022)
[j403]
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Feng Zhao, Xiangfei Zhang, Kim-Han Thung, Ning Mao, Seong-Whan Lee, Dinggang Shen:
Constructing Multi-View High-Order Functional Connectivity Networks for Diagnosis of Autism Spectrum Disorder. IEEE Trans. Biomed. Eng. 69(3): 1237-1250 (2022)
[j402]
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Chunfeng Lian, Mingxia Liu, Yongsheng Pan, Dinggang Shen:
Attention-Guided Hybrid Network for Dementia Diagnosis With Structural MR Images. IEEE Trans. Cybern. 52(4): 1992-2003 (2022)
[j401]
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Yu Zhang, Han Zhang, Ehsan Adeli, Xiaobo Chen, Mingxia Liu, Dinggang Shen:
Multiview Feature Learning With Multiatlas-Based Functional Connectivity Networks for MCI Diagnosis. IEEE Trans. Cybern. 52(7): 6822-6833 (2022)
[j400]
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Xingyu Gao, Feng Shi, Dinggang Shen, Manhua Liu:
Task-Induced Pyramid and Attention GAN for Multimodal Brain Image Imputation and Classification in Alzheimer's Disease. IEEE J. Biomed. Health Informatics 26(1): 36-43 (2022)
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Yue Zhou, Houjin Chen, Yanfeng Li, Xuyang Cao, Shu Wang, Dinggang Shen:
Cross-Model Attention-Guided Tumor Segmentation for 3D Automated Breast Ultrasound (ABUS) Images. IEEE J. Biomed. Health Informatics 26(1): 301-311 (2022)
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Jintao Lu, Xi Ouyang, Xueda Shen, Tianjiao Liu, Zhiming Cui, Qian Wang, Dinggang Shen:
GAN-Guided Deformable Attention Network for Identifying Thyroid Nodules in Ultrasound Images. IEEE J. Biomed. Health Informatics 26(4): 1582-1590 (2022)
[j397]
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Huifeng Zhang, Zhen Zhou, Lei Ding, Chuangxin Wu, Meihui Qiu, Yueqi Huang, Feng Jin, Ting Shen, Yao Yang, Li-Ming Hsu, Jinhong Wang, Han Zhang, Dinggang Shen, Daihui Peng:
Divergent and Convergent Imaging Markers Between Bipolar and Unipolar Depression Based on Machine Learning. IEEE J. Biomed. Health Informatics 26(8): 4100-4110 (2022)
[j396]
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Fanwen Wang, Hui Zhang, Fei Dai, Weibo Chen, Shuai Xu, Zidong Yang, Dinggang Shen, Chengyan Wang, He Wang:
Multiple B-Value Model-Based Residual Network (MORN) for Accelerated High-Resolution Diffusion-Weighted Imaging. IEEE J. Biomed. Health Informatics 26(9): 4575-4586 (2022)
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Gengxin Xu, Chen Liu, Jun Liu, Zhongxiang Ding, Feng Shi, Man Guo, Wei Zhao, Xiaoming Li, Ying Wei, Yaozong Gao, Chuan-Xian Ren, Dinggang Shen:
Cross-Site Severity Assessment of COVID-19 From CT Images via Domain Adaptation. IEEE Trans. Medical Imaging 41(1): 88-102 (2022)
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Feng Shi, Bojiang Chen, Qiqi Cao, Ying Wei, Qing Zhou, Rui Zhang, Yaojie Zhou, Wenjie Yang, Xiang Wang, Rongrong Fan, Fan Yang, Yanbo Chen, Weimin Li, Yaozong Gao, Dinggang Shen:
Semi-Supervised Deep Transfer Learning for Benign-Malignant Diagnosis of Pulmonary Nodules in Chest CT Images. IEEE Trans. Medical Imaging 41(4): 771-781 (2022)
[j393]
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Yue Zhao, Lingming Zhang, Yang Liu, Deyu Meng, Zhiming Cui, Chenqiang Gao, Xinbo Gao, Chunfeng Lian, Dinggang Shen:
Two-Stream Graph Convolutional Network for Intra-Oral Scanner Image Segmentation. IEEE Trans. Medical Imaging 41(4): 826-835 (2022)
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Dongming Wei, Sahar Ahmad, Yuyu Guo, Liyun Chen, Yunzhi Huang, Lei Ma, Zhengwang Wu, Gang Li, Li Wang, Weili Lin, Pew-Thian Yap, Dinggang Shen, Qian Wang:
Recurrent Tissue-Aware Network for Deformable Registration of Infant Brain MR Images. IEEE Trans. Medical Imaging 41(5): 1219-1229 (2022)
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Sheng Wang, Xi Ouyang, Tianming Liu, Qian Wang, Dinggang Shen:
Follow My Eye: Using Gaze to Supervise Computer-Aided Diagnosis. IEEE Trans. Medical Imaging 41(7): 1688-1698 (2022)
[j390]
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Xiangmin Han, Xiaoyan Fei, Jun Wang, Tao Zhou, Shihui Ying, Jun Shi, Dinggang Shen:
Doubly Supervised Transfer Classifier for Computer-Aided Diagnosis With Imbalanced Modalities. IEEE Trans. Medical Imaging 41(8): 2009-2020 (2022)
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Kai Xuan, Lei Xiang, Xiaoqian Huang, Lichi Zhang, Shu Liao, Dinggang Shen, Qian Wang:
Multimodal MRI Reconstruction Assisted With Spatial Alignment Network. IEEE Trans. Medical Imaging 41(9): 2499-2509 (2022)
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Jianjia Zhang, Luping Zhou, Lei Wang, Mengting Liu, Dinggang Shen:
Diffusion Kernel Attention Network for Brain Disorder Classification. IEEE Trans. Medical Imaging 41(10): 2814-2827 (2022)
[j387]
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Yankun Lang, Chunfeng Lian, Deqiang Xiao, Han Deng, Kim-Han Thung, Peng Yuan, Jaime Gateno, Tianshu Kuang, David M. Alfi, Li Wang, Dinggang Shen, James J. Xia, Pew-Thian Yap:
Localization of Craniomaxillofacial Landmarks on CBCT Images Using 3D Mask R-CNN and Local Dependency Learning. IEEE Trans. Medical Imaging 41(10): 2856-2866 (2022)
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Tai-Hsien Wu, Chunfeng Lian, Sanghee Lee, Matthew Pastewait, Christian Piers, Jie Liu, Fan Wang, Li Wang, Chiung-Ying Chiu, Wenchi Wang, Christina Jackson, Wei-Lun Chao, Dinggang Shen, Ching-Chang Ko:
Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans. IEEE Trans. Medical Imaging 41(11): 3158-3166 (2022)
[j385]
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Yiqing Shen, Dinggang Shen, Jing Ke:
Identify Representative Samples by Conditional Random Field of Cancer Histology Images. IEEE Trans. Medical Imaging 41(12): 3835-3848 (2022)
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Chunfeng Lian, Mingxia Liu, Li Wang, Dinggang Shen:
Multi-Task Weakly-Supervised Attention Network for Dementia Status Estimation With Structural MRI. IEEE Trans. Neural Networks Learn. Syst. 33(8): 4056-4068 (2022)
[c587]
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  - conf/isbi/HuPSMCZDZS22
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Yan Hu, Yongsheng Pan, Yang Song, Erik Meijering, Zhiming Cui, Yue Zhao, Zhongxiang Ding, Min Zhu, Dinggang Shen:
Parallel Sinogram and Image Framework With Co-Training Strategy for Metal Artifact Reduction in Tooth Ct Images. ISBI 2022: 1-4
[c586]
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Caiwen Jiang, Yongsheng Pan, Zhiming Cui, Dinggang Shen:
Reconstruction of Standard-Dose Pet From Low-Dose Pet Via Dual-Frequency Supervision and Global Aggregation Module. ISBI 2022: 1-5
[c585]
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Mancheng Meng, Mianxin Liu, Xianjie Zhang, Yuxuan Liu, Xiran Cai, Yaozong Gao, Xiang Zhou, Dinggang Shen:
LA-Net: Lung Adenocarcinoma Classification with Assistants from Lung Nodule Classification and Positional Information. ISBI 2022: 1-5
[c584]
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Lang Mei, Mianxin Liu, Lingbin Bian, Yuyao Zhang, Feng Shi, Han Zhang, Dinggang Shen:
Modular Graph Encoding and Hierarchical Readout for Functional Brain Network Based eMCI Diagnosis. ISGIE/GRAIL@MICCAI 2022: 69-78
[c583]
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Linlin Yao, Zhong Xue, Yiqiang Zhan, Lizhou Chen, Yuntian Chen, Bin Song, Qian Wang, Feng Shi, Dinggang Shen:
TaG-Net: Topology-Aware Graph Network for Vessel Labeling. ISGIE/GRAIL@MICCAI 2022: 108-117
[c582]
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  - conf/miccai/LiuNSWT22
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Huabing Liu, Dong Ni, Dinggang Shen, Jinda Wang, Zhenyu Tang:
Multimodal Brain Tumor Segmentation Using Contrastive Learning Based Feature Comparison with Monomodal Normal Brain Images. MICCAI (5) 2022: 118-127
[c581]
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Temitope Emmanuel Komolafe, Yuhang Sun, Nizhuan Wang, Kaicong Sun, Guohua Cao, Dinggang Shen:
DPDudoNet: Deep-Prior Based Dual-Domain Network for Low-Dose Computed Tomography Reconstruction. MLMIR@MICCAI 2022: 123-132
[c580]
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Qingxia Wu, Hongna Tan, Yaping Wu, Pei Dong, Jifei Che, Zheren Li, Chenjin Lei, Dinggang Shen, Zhong Xue, Meiyun Wang:
Whole Mammography Diagnosis via Multi-instance Supervised Discriminative Localization and Classification. MLMI@MICCAI 2022: 131-139
[c579]
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Zhan Jin, Peng Xue, Yuyao Zhang, Xiaohuan Cao, Dinggang Shen:
Semantic-Aware Registration with Weakly-Supervised Learning. CaPTion@MICCAI 2022: 159-168
[c578]
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  - conf/miccai/ShenLSK22
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Yiqing Shen, Yulin Luo, Dinggang Shen, Jing Ke:
RandStainNA: Learning Stain-Agnostic Features from Histology Slides by Bridging Stain Augmentation and Normalization. MICCAI (2) 2022: 212-221
[c577]
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Yu Fang, Zhiming Cui, Lei Ma, Lanzhuju Mei, Bojun Zhang, Yue Zhao, Zhihao Jiang, Yiqiang Zhan, Yongsheng Pan, Min Zhu, Dinggang Shen:
Curvature-Enhanced Implicit Function Network for High-quality Tooth Model Generation from CBCT Images. MICCAI (5) 2022: 225-234
[c576]
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Linlin Yao, Zhong Xue, Yiqiang Zhan, Lizhou Chen, Yuntian Chen, Bin Song, Qian Wang, Feng Shi, Dinggang Shen:
Head and Neck Vessel Segmentation with Connective Topology Using Affinity Graph. MLMI@MICCAI 2022: 230-238
[c575]
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  - conf/miccai/LeeOSS22
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Jieun Lee, Kwanseok Oh, Dinggang Shen, Heung-Il Suk:
A Novel Knowledge Keeper Network for 7T-Free but 7T-Guided Brain Tissue Segmentation. MICCAI (5) 2022: 330-339
[c574]
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Jingyang Zhang, Peng Xue, Ran Gu, Yuning Gu, Mianxin Liu, Yongsheng Pan, Zhiming Cui, Jiawei Huang, Lei Ma, Dinggang Shen:
Learning Towards Synchronous Network Memorizability and Generalizability for Continual Segmentation Across Multiple Sites. MICCAI (5) 2022: 380-390
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Xiao Zhang, Jingyang Zhang, Lei Ma, Peng Xue, Yan Hu, Dijia Wu, Yiqiang Zhan, Jun Feng, Dinggang Shen:
Progressive Deep Segmentation of Coronary Artery via Hierarchical Topology Learning. MICCAI (5) 2022: 391-400
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Yuning Gu, Yongsheng Pan, Zhenghan Fang, Jingyang Zhang, Peng Xue, Mianxin Liu, Yuran Zhu, Lei Ma, Charlie Androjna, Xin Yu, Dinggang Shen:
Deep-Learning Based T₁ and T₂ Quantification from Undersampled Magnetic Resonance Fingerprinting Data to Track Tracer Kinetics in Small Laboratory Animals. MICCAI (6) 2022: 432-441
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Yuyan Ge, Zhenyu Tang, Lei Ma, Caiwen Jiang, Feng Shi, Shaoyi Du, Dinggang Shen:
Multi-scale and Focal Region Based Deep Learning Network for Fine Brain Parcellation. MLMI@MICCAI 2022: 466-475
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Pinxian Zeng, Luping Zhou, Chen Zu, Xinyi Zeng, Zhengyang Jiao, Xi Wu, Jiliu Zhou, Dinggang Shen, Yan Wang:
3D CVT-GAN: A 3D Convolutional Vision Transformer-GAN for PET Reconstruction. MICCAI (6) 2022: 516-526
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Yuchen Fei, Chen Zu, Zhengyang Jiao, Xi Wu, Jiliu Zhou, Dinggang Shen, Yan Wang:
Classification-Aided High-Quality PET Image Synthesis via Bidirectional Contrastive GAN with Shared Information Maximization. MICCAI (6) 2022: 527-537
[c568]
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Zixu Zhuang, Sheng Wang, Liping Si, Kai Xuan, Zhong Xue, Dinggang Shen, Lichi Zhang, Weiwu Yao, Qian Wang:
Local Graph Fusion of Multi-view MR Images for Knee Osteoarthritis Diagnosis. MICCAI (3) 2022: 554-563
[c567]
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Bin Wang, Lin Teng, Lanzhuju Mei, Zhiming Cui, Xuanang Xu, Qianjin Feng, Dinggang Shen:
Deep Learning-Based Head and Neck Radiotherapy Planning Dose Prediction via Beam-Wise Dose Decomposition. MICCAI (8) 2022: 575-584
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Jiadong Zhang, Zhiming Cui, Caiwen Jiang, Jingyang Zhang, Fei Gao, Dinggang Shen:
Mapping in Cycles: Dual-Domain PET-CT Synthesis Framework with Cycle-Consistent Constraints. MICCAI (6) 2022: 758-767
[c565]
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Mancheng Meng, Ziyan Wu, Terrence Chen, Xiran Cai, Xiang Sean Zhou, Fan Yang, Dinggang Shen:
Forecasting Human Trajectory from Scene History. NeurIPS 2022
[i74]
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  - journals/corr/abs-2201-04318
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Zixu Zhuang, Liping Si, Sheng Wang, Kai Xuan, Xi Ouyang, Yiqiang Zhan, Zhong Xue, Lichi Zhang, Dinggang Shen, Weiwu Yao, Qian Wang:
Knee Cartilage Defect Assessment by Graph Representation and Surface Convolution. CoRR abs/2201.04318 (2022)
[i73]
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  - journals/corr/abs-2202-12165
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Kelei He, Chen Gan, Zhuoyuan Li, Islem Rekik, Zihao Yin, Wen Ji, Yang Gao, Qian Wang, Junfeng Zhang, Dinggang Shen:
Transformers in Medical Image Analysis: A Review. CoRR abs/2202.12165 (2022)
[i72]
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Ruiyang Zhao, Zhao He, Tao Wang, Suhao Qiu, Pawel Andrzej Herman, Yanle Hu, Chencheng Zhang, Dinggang Shen, Bomin Sun, Guang-Zhong Yang, Yuan Feng:
A Long Short-term Memory Based Recurrent Neural Network for Interventional MRI Reconstruction. CoRR abs/2203.14769 (2022)
[i71]
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  - journals/corr/abs-2204-02976
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Sheng Wang, Xi Ouyang, Tianming Liu, Qian Wang, Dinggang Shen:
Follow My Eye: Using Gaze to Supervise Computer-Aided Diagnosis. CoRR abs/2204.02976 (2022)
[i70]
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Yue Zhao, Lingming Zhang, Yang Liu, Deyu Meng, Zhiming Cui, Chenqiang Gao, Xinbo Gao, Chunfeng Lian, Dinggang Shen:
Two-Stream Graph Convolutional Network for Intra-oral Scanner Image Segmentation. CoRR abs/2204.08797 (2022)
[i69]
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Hao Hou, Xiaotao Hu, Jun Xu, Yingkun Hou, Benzheng Wei, Dinggang Shen:
Semi-Cycled Generative Adversarial Networks for Real-World Face Super-Resolution. CoRR abs/2205.03777 (2022)
[i68]
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  - journals/corr/abs-2205-12466
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Chong Ma, Lin Zhao, Yuzhong Chen, Lu Zhang, Zhenxiang Xiao, Haixing Dai, David Weizhong Liu, Zihao Wu, Zhengliang Liu, Sheng Wang, Jiaxing Gao, Changhe Li, Xi Jiang, Tuo Zhang, Qian Wang, Dinggang Shen, Dajiang Zhu, Tianming Liu:
Eye-gaze-guided Vision Transformer for Rectifying Shortcut Learning. CoRR abs/2205.12466 (2022)
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  - journals/corr/abs-2206-06813
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Jingyang Zhang, Peng Xue, Ran Gu, Yuning Gu, Mianxin Liu, Yongsheng Pan, Zhiming Cui, Jiawei Huang, Lei Ma, Dinggang Shen:
Learning towards Synchronous Network Memorizability and Generalizability for Continual Segmentation across Multiple Sites. CoRR abs/2206.06813 (2022)
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  - journals/corr/abs-2206-08567
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Chong Ma, Lin Zhao, Yuzhong Chen, David Weizhong Liu, Xi Jiang, Tuo Zhang, Xintao Hu, Dinggang Shen, Dajiang Zhu, Tianming Liu:
Rectify ViT Shortcut Learning by Visual Saliency. CoRR abs/2206.08567 (2022)
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  - journals/corr/abs-2206-12694
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Yiqing Shen, Yulin Luo, Dinggang Shen, Jing Ke:
RandStainNA: Learning Stain-Agnostic Features from Histology Slides by Bridging Stain Augmentation and Normalization. CoRR abs/2206.12694 (2022)
[i64]
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  - journals/corr/abs-2207-03430
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Xiangxi Meng, Yuning Gu, Yongsheng Pan, Nizhuan Wang, Peng Xue, Mengkang Lu, Xuming He, Yiqiang Zhan, Dinggang Shen:
A Novel Unified Conditional Score-based Generative Framework for Multi-modal Medical Image Completion. CoRR abs/2207.03430 (2022)
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  - journals/corr/abs-2207-09389
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Zhenrong Shen, Xi Ouyang, Bin Xiao, Jie-Zhi Cheng, Qian Wang, Dinggang Shen:
Image Synthesis with Disentangled Attributes for Chest X-Ray Nodule Augmentation and Detection. CoRR abs/2207.09389 (2022)
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  - journals/corr/abs-2209-11232
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Mianxin Liu, Han Zhang, Feng Shi, Dinggang Shen:
Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity. CoRR abs/2209.11232 (2022)
[i61]
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Mancheng Meng, Ziyan Wu, Terrence Chen, Xiran Cai, Xiang Sean Zhou, Fan Yang, Dinggang Shen:
Forecasting Human Trajectory from Scene History. CoRR abs/2210.08732 (2022)
[i60]
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  - journals/corr/abs-2210-12548
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Lin Zhao, Xiao Chen, Eric Z. Chen, Yikang Liu, Dinggang Shen, Terrence Chen, Shanhui Sun:
JoJoNet: Joint-contrast and Joint-sampling-and-reconstruction Network for Multi-contrast MRI. CoRR abs/2210.12548 (2022)
[i59]
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  - journals/corr/abs-2211-17048
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Yu Fang, Lanzhuju Mei, Changjian Li, Yuan Liu, Wenping Wang, Zhiming Cui, Dinggang Shen:
SNAF: Sparse-view CBCT Reconstruction with Neural Attenuation Fields. CoRR abs/2211.17048 (2022)
[i58]
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  - journals/corr/abs-2212-01108
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Yonghao Li, Tao Zhou, Kelei He, Yi Zhou, Dinggang Shen:
SLMT-Net: A Self-supervised Learning based Multi-scale Transformer Network for Cross-Modality MR Image Synthesis. CoRR abs/2212.01108 (2022)
2021
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Jian Zhang, Yinghuan Shi, Jinquan Sun, Lei Wang, Luping Zhou, Yang Gao, Dinggang Shen:
Interactive medical image segmentation via a point-based interaction. Artif. Intell. Medicine 111: 101998 (2021)
[j382]
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Dongdong Gu, Liyun Chen, Fei Shan, Liming Xia, Jun Liu, Zhanhao Mo, Fuhua Yan, Bin Song, Yaozong Gao, Xiaohuan Cao, Yanbo Chen, Ying Shao, Miaofei Han, Bin Wang, Guocai Liu, Qian Wang, Feng Shi, Dinggang Shen, Zhong Xue:
Computing infection distributions and longitudinal evolution patterns in lung CT images. BMC Medical Imaging 21(1): 57 (2021)
[j381]
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Qi Zhu, Haizhou Ye, Liang Sun, Zhongnian Li, Ran Wang, Feng Shi, Dinggang Shen, Daoqiang Zhang:
GACDN: generative adversarial feature completion and diagnosis network for COVID-19. BMC Medical Imaging 21(1): 154 (2021)
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Liyun Chen, Dongdong Gu, Yanbo Chen, Ying Shao, Xiaohuan Cao, Guocai Liu, Yaozong Gao, Qian Wang, Dinggang Shen:
An artificial-intelligence lung imaging analysis system (ALIAS) for population-based nodule computing in CT scans. Comput. Medical Imaging Graph. 89: 101899 (2021)
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Dongdong Gu, Guocai Liu, Xiaohuan Cao, Zhong Xue, Dinggang Shen:
A consistent deep registration network with group data modeling. Comput. Medical Imaging Graph. 90: 101904 (2021)
[j378]
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Yanmei Luo, Dong Nie, Bo Zhan, Zhiang Li, Xi Wu, Jiliu Zhou, Yan Wang, Dinggang Shen:
Edge-preserving MRI image synthesis via adversarial network with iterative multi-scale fusion. Neurocomputing 452: 63-77 (2021)
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Yunzhi Huang, Sahar Ahmad, Jingfan Fan, Dinggang Shen, Pew-Thian Yap:
Difficulty-aware hierarchical convolutional neural networks for deformable registration of brain MR images. Medical Image Anal. 67: 101817 (2021)
[j376]
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Xiaofeng Zhu, Bin Song, Feng Shi, Yanbo Chen, Rongyao Hu, Jiangzhang Gan, Wenhai Zhang, Man Li, Liye Wang, Yaozong Gao, Fei Shan, Dinggang Shen:
Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan. Medical Image Anal. 67: 101824 (2021)
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Feihong Liu, Jun Feng, Geng Chen, Dinggang Shen, Pew-Thian Yap:
Gaussianization of Diffusion MRI Data Using Spatially Adaptive Filtering. Medical Image Anal. 68: 101828 (2021)
[j374]
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Olfa Ghribi, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik:
Multi-Regression based supervised sample selection for predicting baby connectome evolution trajectory from neonatal timepoint. Medical Image Anal. 68: 101853 (2021)
[j373]
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Donglin Di, Feng Shi, Fuhua Yan, Liming Xia, Zhanhao Mo, Zhongxiang Ding, Fei Shan, Bin Song, Shengrui Li, Ying Wei, Ying Shao, Miaofei Han, Yaozong Gao, He Sui, Yue Gao, Dinggang Shen:
Hypergraph learning for identification of COVID-19 with CT imaging. Medical Image Anal. 68: 101910 (2021)
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Zhiming Cui, Changjian Li, Nenglun Chen, Guodong Wei, Runnan Chen, Yuanfeng Zhou, Dinggang Shen, Wenping Wang:
TSegNet: An efficient and accurate tooth segmentation network on 3D dental model. Medical Image Anal. 69: 101949 (2021)
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Yanbei Liu, Lianxi Fan, Changqing Zhang, Tao Zhou, Zhitao Xiao, Lei Geng, Dinggang Shen:
Incomplete multi-modal representation learning for Alzheimer's disease diagnosis. Medical Image Anal. 69: 101953 (2021)
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Zekun Li, Wei Zhao, Feng Shi, Lei Qi, Xingzhi Xie, Ying Wei, Zhongxiang Ding, Yang Gao, Shangjie Wu, Jun Liu, Yinghuan Shi, Dinggang Shen:
A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning. Medical Image Anal. 69: 101978 (2021)
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Yue Zhou, Houjin Chen, Yanfeng Li, Qin Liu, Xuanang Xu, Shu Wang, Pew-Thian Yap, Dinggang Shen:
Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images. Medical Image Anal. 70: 101918 (2021)
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Kelei He, Chunfeng Lian, Ehsan Adeli, Jing Huo, Yang Gao, Bing Zhang, Junfeng Zhang, Dinggang Shen:
MetricUNet: Synergistic image- and voxel-level learning for precise prostate segmentation via online sampling. Medical Image Anal. 71: 102039 (2021)
[j367]
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Xu Chen, Chunfeng Lian, Li Wang, Hannah H. Deng, Tianshu Kuang, Steve H. Fung, Jaime Gateno, Dinggang Shen, James J. Xia, Pew-Thian Yap:
Diverse data augmentation for learning image segmentation with cross-modality annotations. Medical Image Anal. 71: 102060 (2021)
[j366]
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Hao Guan, Yunbi Liu, Erkun Yang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu:
Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identification. Medical Image Anal. 71: 102076 (2021)
[j365]
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Xuanang Xu, Chunfeng Lian, Shuai Wang, Tong Zhu, Ronald C. Chen, Andrew Z. Wang, Trevor J. Royce, Pew-Thian Yap, Dinggang Shen, Jun Lian:
Asymmetric multi-task attention network for prostate bed segmentation in computed tomography images. Medical Image Anal. 72: 102116 (2021)
[j364]
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Liangjun Chen, Zhengwang Wu, Dan Hu, Fan Wang, J. Keith Smith, Weili Lin, Li Wang, Dinggang Shen, Gang Li:
ABCnet: Adversarial bias correction network for infant brain MR images. Medical Image Anal. 72: 102133 (2021)
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  - journals/natmi/LiuTQLSY21
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Siyuan Liu, Kim-Han Thung, Liangqiong Qu, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Learning MRI artefact removal with unpaired data. Nat. Mach. Intell. 3(1): 60-67 (2021)
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Siyuan Liu, Kim-Han Thung, Liangqiong Qu, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Publisher Correction: Learning MRI artefact removal with unpaired data. Nat. Mach. Intell. 3(2): 181 (2021)
[j361]
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Tao Zhong, Fenqiang Zhao, Yuchen Pei, Zhenyuan Ning, Lufan Liao, Zhengwang Wu, Yuyu Niu, Li Wang, Dinggang Shen, Yu Zhang, Gang Li:
DIKA-Nets: Domain-invariant knowledge-guided attention networks for brain skull stripping of early developing macaques. NeuroImage 227: 117649 (2021)
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Yu-Dong Zhang, Francesco Carlo Morabito, Dinggang Shen, Khan Muhammad:
Advanced deep learning methods for biomedical information analysis: An editorial. Neural Networks 133: 101-102 (2021)
[j359]
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Jun Wang, Chen Liu, Jingwen Li, Cheng Yuan, Lichi Zhang, Cheng Jin, Jianwei Xu, Yaqi Wang, Yaofeng Wen, Hongbing Lu, Biao Li, Chang Chen, Xiangdong Li, Dinggang Shen, Dahong Qian, Jian Wang:
iCOVID: interpretable deep learning framework for early recovery-time prediction of COVID-19 patients. npj Digit. Medicine 4 (2021)
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Kelei He, Wei Zhao, Xingzhi Xie, Wen Ji, Mingxia Liu, Zhenyu Tang, Yinghuan Shi, Feng Shi, Yang Gao, Jun Liu, Junfeng Zhang, Dinggang Shen:
Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images. Pattern Recognit. 113: 107828 (2021)
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Kai Xuan, Liping Si, Lichi Zhang, Zhong Xue, Yining Jiao, Weiwu Yao, Dinggang Shen, Dijia Wu, Qian Wang:
Reducing magnetic resonance image spacing by learning without ground-truth. Pattern Recognit. 120: 108103 (2021)
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Deqiang Xiao, Chunfeng Lian, Li Wang, Hannah H. Deng, Hung-Ying Lin, Kim-Han Thung, Jihua Zhu, Peng Yuan, Leonel Perez Jr., Jaime Gateno, Steve Guo-Fang Shen, Pew-Thian Yap, James J. Xia, Dinggang Shen:
Estimating Reference Shape Model for Personalized Surgical Reconstruction of Craniomaxillofacial Defects. IEEE Trans. Biomed. Eng. 68(2): 362-373 (2021)
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Jie Xue, Kelei He, Dong Nie, Ehsan Adeli, Zhenshan Shi, Seong-Whan Lee, Yuanjie Zheng, Xiyu Liu, Dengwang Li, Dinggang Shen:
Cascaded MultiTask 3-D Fully Convolutional Networks for Pancreas Segmentation. IEEE Trans. Cybern. 51(4): 2153-2165 (2021)
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Yinghuan Shi, Wanqi Yang, Kim-Han Thung, Hao Wang, Yang Gao, Yang Pan, Li Zhang, Dinggang Shen:
Learning-Based Computer-Aided Prescription Model for Parkinson's Disease: A Data-Driven Perspective. IEEE J. Biomed. Health Informatics 25(9): 3258-3269 (2021)
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Xu Chen, Chunfeng Lian, Li Wang, Hannah H. Deng, Tianshu Kuang, Steve H. Fung, Jaime Gateno, Pew-Thian Yap, James J. Xia, Dinggang Shen:
Anatomy-Regularized Representation Learning for Cross-Modality Medical Image Segmentation. IEEE Trans. Medical Imaging 40(1): 274-285 (2021)
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Shuai Wang, Mingxia Liu, Jun Lian, Dinggang Shen:
Boundary Coding Representation for Organ Segmentation in Prostate Cancer Radiotherapy. IEEE Trans. Medical Imaging 40(1): 310-320 (2021)
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Erkun Yang, Mingxia Liu, Dongren Yao, Bing Cao, Chunfeng Lian, Pew-Thian Yap, Dinggang Shen:
Deep Bayesian Hashing With Center Prior for Multi-Modal Neuroimage Retrieval. IEEE Trans. Medical Imaging 40(2): 503-513 (2021)
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Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, John H. Gilmore, Shunren Xia, Dinggang Shen, Gang Li:
Spherical Deformable U-Net: Application to Cortical Surface Parcellation and Development Prediction. IEEE Trans. Medical Imaging 40(4): 1217-1228 (2021)
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Dongren Yao, Jing Sui, Mingliang Wang, Erkun Yang, Yeerfan Jiaerken, Na Luo, Pew-Thian Yap, Mingxia Liu, Dinggang Shen:
A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity. IEEE Trans. Medical Imaging 40(4): 1279-1289 (2021)
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Yue Sun, Kun Gao, Zhengwang Wu, Guannan Li, Xiaopeng Zong, Zhihao Lei, Ying Wei, Jun Ma, Xiaoping Yang, Xue Feng, Li Zhao, Trung Le Phan, Jitae Shin, Tao Zhong, Yu Zhang, Lequan Yu, Caizi Li, Ramesh Basnet, M. Omair Ahmad, M. N. S. Swamy, Wenao Ma, Qi Dou, Toan Duc Bui, Camilo Bermudez Noguera, Bennett A. Landman, Ian H. Gotlib, Kathryn L. Humphreys, Sarah Shultz, Longchuan Li, Sijie Niu, Weili Lin, Valerie Jewells, Dinggang Shen, Gang Li, Li Wang:
Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge. IEEE Trans. Medical Imaging 40(5): 1363-1376 (2021)
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Fenqiang Zhao, Zhengwang Wu, Fan Wang, Weili Lin, Shunren Xia, Dinggang Shen, Li Wang, Gang Li:
S3Reg: Superfast Spherical Surface Registration Based on Deep Learning. IEEE Trans. Medical Imaging 40(8): 1964-1976 (2021)
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Kelei He, Chunfeng Lian, Bing Zhang, Xin Zhang, Xiaohuan Cao, Dong Nie, Yang Gao, Junfeng Zhang, Dinggang Shen:
HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation in CT Images. IEEE Trans. Medical Imaging 40(8): 2118-2128 (2021)
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Ruhan Liu, Mengyao Liu, Bin Sheng, Huating Li, Ping Li, Haitao Song, Ping Zhang, Lixin Jiang, Dinggang Shen:
NHBS-Net: A Feature Fusion Attention Network for Ultrasound Neonatal Hip Bone Segmentation. IEEE Trans. Medical Imaging 40(12): 3446-3458 (2021)
[j344]
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Zhiming Cui, Changjian Li, Zhixu Du, Nenglun Chen, Guodong Wei, Runnan Chen, Lei Yang, Dinggang Shen, Wenping Wang:
Structure-Driven Unsupervised Domain Adaptation for Cross-Modality Cardiac Segmentation. IEEE Trans. Medical Imaging 40(12): 3604-3616 (2021)
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Xiaoyang Chen, Chunfeng Lian, Hannah H. Deng, Tianshu Kuang, Hung-Ying Lin, Deqiang Xiao, Jaime Gateno, Dinggang Shen, James J. Xia, Pew-Thian Yap:
Fast and Accurate Craniomaxillofacial Landmark Detection via 3D Faster R-CNN. IEEE Trans. Medical Imaging 40(12): 3867-3878 (2021)
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Mengkang Lu, Yongsheng Pan, Dong Nie, Feihong Liu, Feng Shi, Yong Xia, Dinggang Shen:
SMILE: Sparse-Attention based Multiple Instance Contrastive Learning for Glioma Sub-Type Classification Using Pathological Images. COMPAY@MICCAI 2021: 159-169
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Xiaodan Xing, Yixin Ma, Lei Jin, Tianyang Sun, Zhong Xue, Feng Shi, Jinsong Wu, Dinggang Shen:
A Multi-scale Graph Network with Multi-head Attention for Histopathology Image Diagnosisn. COMPAY@MICCAI 2021: 227-235
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  - conf/cvpr/Zhang0MCG0LS21
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Lingming Zhang, Yue Zhao, Deyu Meng, Zhiming Cui, Chenqiang Gao, Xinbo Gao, Chunfeng Lian, Dinggang Shen:
TSGCNet: Discriminative Geometric Feature Learning With Two-Stream Graph Convolutional Network for 3D Dental Model Segmentation. CVPR 2021: 6699-6708
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Zhiming Cui, Bojun Zhang, Chunfeng Lian, Changjian Li, Lei Yang, Wenping Wang, Min Zhu, Dinggang Shen:
Hierarchical Morphology-Guided Tooth Instance Segmentation from CBCT Images. IPMI 2021: 150-162
[c560]
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  - conf/isbi/YangWSL21
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Haibo Yang, Guangyu Wu, Dinggang Shen, Shu Liao:
Automatic Prostate Cancer Detection On Multi-Parametric Mri With Hierarchical Weakly Supervised Learning. ISBI 2021: 316-319
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Zhiyang Lu, Zheng Li, Jun Wang, Jun Shi, Dinggang Shen:
Two-Stage Self-supervised Cycle-Consistency Network for Reconstruction of Thin-Slice MR Images. MICCAI (6) 2021: 3-12
[c558]
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  - conf/miccai/BessadokNMLLSR21
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Alaa Bessadok, Ahmed Nebli, Mohamed Ali Mahjoub, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik:
A Few-Shot Learning Graph Multi-trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint. PRIME@MICCAI 2021: 11-24
[c557]
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Dongdong Gu, Xiaohuan Cao, Guocai Liu, Zhong Xue, Dinggang Shen:
Variational Encoding and Decoding for Hybrid Supervision of Registration Network. MLMI@MICCAI 2021: 50-60
[c556]
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Dongdong Gu, Xiaohuan Cao, Guocai Liu, Dinggang Shen, Zhong Xue:
Multiresolution Registration Network (MRN) Hierarchy with Prior Knowledge Learning. MLMI@MICCAI 2021: 61-69
[c555]
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  - conf/miccai/WeiPXS21
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Jie Wei, Yongsheng Pan, Yong Xia, Dinggang Shen:
Learning to Synthesize 7 T MRI from 3 T MRI with Few Data by Deformable Augmentation. MLMI@MICCAI 2021: 70-79
[c554]
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Xi Ouyang, Jifei Che, Qitian Chen, Zheren Li, Yiqiang Zhan, Zhong Xue, Qian Wang, Jie-Zhi Cheng, Dinggang Shen:
Self-adversarial Learning for Detection of Clustered Microcalcifications in Mammograms. MICCAI (7) 2021: 78-87
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Jie Wei, Feng Shi, Zhiming Cui, Yongsheng Pan, Yong Xia, Dinggang Shen:
Consistent Segmentation of Longitudinal Brain MR Images with Spatio-Temporal Constrained Networks. MICCAI (1) 2021: 89-98
[c552]
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Zheren Li, Zhiming Cui, Sheng Wang, Yuji Qi, Xi Ouyang, Qitian Chen, Yuezhi Yang, Zhong Xue, Dinggang Shen, Jie-Zhi Cheng:
Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning. MICCAI (7) 2021: 98-108
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Wenjun Shen, Liyun Chen, Dongming Wei, Yuanfang Qiao, Yiqiang Zhan, Dinggang Shen, Qian Wang:
A Recurrent Two-Stage Anatomy-Guided Network for Registration of Liver DCE-MRI. MLMI@MICCAI 2021: 219-227
[c550]
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Zehong Cao, Feng Shi, Qiang Xu, Gaoping Liu, Tianyang Sun, Xiaodan Xing, Yichu He, Guangming Lu, Zhiqiang Zhang, Dinggang Shen:
Diagnosis of Hippocampal Sclerosis from Clinical Routine Head MR Images Using Structure-constrained Super-Resolution Network. MLMI@MICCAI 2021: 258-266
[c549]
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Yanmei Luo, Yan Wang, Chen Zu, Bo Zhan, Xi Wu, Jiliu Zhou, Dinggang Shen, Luping Zhou:
3D Transformer-GAN for High-Quality PET Reconstruction. MICCAI (6) 2021: 276-285
[c548]
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Zhiming Cui, Changjian Li, Lei Yang, Chunfeng Lian, Feng Shi, Wenping Wang, Dijia Wu, Dinggang Shen:
VertNet: Accurate Vertebra Localization and Identification Network from CT Images. MICCAI (5) 2021: 281-290
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Xiao-Xin Li, Zhijie Chen, Xin-Jie Lou, Junwei Yang, Yong Chen, Dinggang Shen:
Multimodal MRI Acceleration via Deep Cascading Networks with Peer-Layer-Wise Dense Connections. MICCAI (6) 2021: 329-339
[c546]
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Sheng Wang, Zixu Zhuang, Kai Xuan, Dahong Qian, Zhong Xue, Jia Xu, Ying Liu, Yiming Chai, Lichi Zhang, Qian Wang, Dinggang Shen:
3DMeT: 3D Medical Image Transformer for Knee Cartilage Defect Assessment. MLMI@MICCAI 2021: 347-355
[c545]
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Zelin Qiu, Yongsheng Pan, Jie Wei, Dijia Wu, Yong Xia, Dinggang Shen:
Predicting Symptoms from Multiphasic MRI via Multi-instance Attention Learning for Hepatocellular Carcinoma Grading. MICCAI (5) 2021: 439-448
[c544]
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Jinghan Huang, Yiqing Shen, Dinggang Shen, Jing Ke:
CA^2.5-Net Nuclei Segmentation Framework with a Microscopy Cell Benchmark Collection. MICCAI (8) 2021: 445-454
[c543]
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Deqiang Xiao, Hannah H. Deng, Tianshu Kuang, Lei Ma, Qin Liu, Xu Chen, Chunfeng Lian, Yankun Lang, Daeseung Kim, Jaime Gateno, Steve Guo-Fang Shen, Dinggang Shen, Pew-Thian Yap, James J. Xia:
A Self-supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning. MICCAI (4) 2021: 469-477
[c542]
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  - conf/miccai/PanCSX21
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Yongsheng Pan, Yuanyuan Chen, Dinggang Shen, Yong Xia:
Collaborative Image Synthesis and Disease Diagnosis for Classification of Neurodegenerative Disorders with Incomplete Multi-modal Neuroimages. MICCAI (5) 2021: 480-489
[c541]
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Jianping Li, Zhiming Cui, Shuai Wang, Jie Wei, Jun Feng, Shu Liao, Dinggang Shen:
Morphology-Guided Prostate MRI Segmentation with Multi-slice Association. MLMI@MICCAI 2021: 507-516
[c540]
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Caiwen Jiang, Zhiming Cui, Dongming Wei, Yuhang Sun, Jiameng Liu, Jie Wei, Qun Chen, Dijia Wu, Dinggang Shen:
Spine-Rib Segmentation and Labeling via Hierarchical Matching and Rib-Guided Registration. MLMI@MICCAI 2021: 537-545
[c539]
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Jiameng Liu, Zhiming Cui, Yuhang Sun, Caiwen Jiang, Zirong Chen, Hao Yang, Yuyao Zhang, Dijia Wu, Dinggang Shen:
Multi-scale Segmentation Network for Rib Fracture Classification from CT Images. MLMI@MICCAI 2021: 546-554
[c538]
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  - conf/miccai/KeSLS21
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Jing Ke, Yiqing Shen, Xiaoyao Liang, Dinggang Shen:
Contrastive Learning Based Stain Normalization Across Multiple Tumor in Histopathology. MICCAI (8) 2021: 571-580
[c537]
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Mianxin Liu, Han Zhang, Feng Shi, Dinggang Shen:
Building Dynamic Hierarchical Brain Networks and Capturing Transient Meta-states for Early Mild Cognitive Impairment Diagnosis. MICCAI (7) 2021: 574-583
[c536]
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Xiao Zhang, Zhiming Cui, Jun Feng, Yanli Song, Dijia Wu, Dinggang Shen:
CorLab-Net: Anatomical Dependency-Aware Point-Cloud Learning for Automatic Labeling of Coronary Arteries. MLMI@MICCAI 2021: 576-585
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Xukun Zhang, Zhiming Cui, Changan Chen, Jie Wei, Jingjiao Lou, Wenxin Hu, He Zhang, Tao Zhou, Feng Shi, Dinggang Shen:
Confidence-Aware Cascaded Network for Fetal Brain Segmentation on MR Images. MICCAI (3) 2021: 584-593
[c534]
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Qin Liu, Chunfeng Lian, Deqiang Xiao, Lei Ma, Hannah H. Deng, Xu Chen, Dinggang Shen, Pew-Thian Yap, James J. Xia:
Skull Segmentation from CBCT Images via Voxel-Based Rendering. MLMI@MICCAI 2021: 615-623
[c533]
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Yuhang Sun, Dongming Wei, Zhiming Cui, Yujia Zhou, Caiwen Jiang, Jiameng Liu, Qianjin Feng, Dinggang Shen:
Motion Correction for Liver DCE-MRI with Time-Intensity Curve Constraint. MICCAI (7) 2021: 733-742
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  - conf/prcv/ShenOWZXWCS21
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Zhenrong Shen, Xi Ouyang, Zhuochen Wang, Yiqiang Zhan, Zhong Xue, Qian Wang, Jie-Zhi Cheng, Dinggang Shen:
Nodule Synthesis and Selection for Augmenting Chest X-ray Nodule Detection. PRCV (3) 2021: 536-547
[i57]
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  - journals/corr/abs-2102-03837
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Zekun Li, Wei Zhao, Feng Shi, Lei Qi, Xingzhi Xie, Ying Wei, Zhongxiang Ding, Yang Gao, Shangjie Wu, Jun Liu, Yinghuan Shi, Dinggang Shen:
A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning. CoRR abs/2102.03837 (2021)
[i56]
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  - journals/corr/abs-2105-07715
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Kelei He, Wen Ji, Tao Zhou, Zhuoyuan Li, Jing Huo, Xin Zhang, Yang Gao, Dinggang Shen, Bing Zhang, Junfeng Zhang:
Cross-Modality Brain Tumor Segmentation via Bidirectional Global-to-Local Unsupervised Domain Adaptation. CoRR abs/2105.07715 (2021)
[i55]
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  - journals/corr/abs-2106-06992
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Feihong Liu, Junwei Yang, Xiaowei He, Luping Zhou, Jun Feng, Dinggang Shen:
Is Perfect Filtering Enough Leading to Perfect Phase Correction for dMRI data? CoRR abs/2106.06992 (2021)
[i54]
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  - journals/corr/abs-2106-15395
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Zhiyang Lu, Zheng Li, Jun Wang, Jun Shi, Dinggang Shen:
Two-Stage Self-Supervised Cycle-Consistency Network for Reconstruction of Thin-Slice MR Images. CoRR abs/2106.15395 (2021)
[i53]
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  - journals/corr/abs-2108-05603
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Kai Xuan, Lei Xiang, Xiaoqian Huang, Lichi Zhang, Shu Liao, Dinggang Shen, Qian Wang:
Multi-Modal MRI Reconstruction with Spatial Alignment Network. CoRR abs/2108.05603 (2021)
[i52]
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  - journals/corr/abs-2109-03478
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Gengxin Xu, Chen Liu, Jun Liu, Zhongxiang Ding, Feng Shi, Man Guo, Wei Zhao, Xiaoming Li, Ying Wei, Yaozong Gao, Chuan-Xian Ren, Dinggang Shen:
Cross-Site Severity Assessment of COVID-19 from CT Images via Domain Adaptation. CoRR abs/2109.03478 (2021)
[i51]
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  - journals/corr/abs-2109-05191
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Deqiang Xiao, Hannah H. Deng, Tianshu Kuang, Lei Ma, Qin Liu, Xu Chen, Chunfeng Lian, Yankun Lang, Daeseung Kim, Jaime Gateno, Steve Guo-Fang Shen, Dinggang Shen, Pew-Thian Yap, James J. Xia:
A Self-Supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning. CoRR abs/2109.05191 (2021)
[i50]
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  - journals/corr/abs-2109-11941
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Tai-Hsien Wu, Chunfeng Lian, Sanghee Lee, Matthew Pastewait, Christian Piers, Jie Liu, Fang Wang, Li Wang, Christina Jackson, Wei-Lun Chao, Dinggang Shen, Ching-Chang Ko:
Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans. CoRR abs/2109.11941 (2021)
[i49]
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  - journals/corr/abs-2110-03535
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Alaa Bessadok, Ahmed Nebli, Mohamed Ali Mahjoub, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik:
A Few-shot Learning Graph Multi-Trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint. CoRR abs/2110.03535 (2021)
[i48]
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Siyuan Liu, Kim-Han Thung, Liangqiong Qu, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Learning MRI Artifact Removal With Unpaired Data. CoRR abs/2110.04604 (2021)
[i47]
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Junwei Yang, Xiao-Xin Li, Feihong Liu, Dong Nie, Pietro Liò, Haikun Qi, Dinggang Shen:
Fast T2w/FLAIR MRI Acquisition by Optimal Sampling of Information Complementary to Pre-acquired T1w MRI. CoRR abs/2111.06400 (2021)
[i46]
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  - journals/corr/abs-2111-10827
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Zheren Li, Zhiming Cui, Sheng Wang, Yuji Qi, Xi Ouyang, Qitian Chen, Yuezhi Yang, Zhong Xue, Dinggang Shen, Jie-Zhi Cheng:
Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning. CoRR abs/2111.10827 (2021)
2020
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Jose Dolz, Christian Desrosiers, Li Wang, Jing Yuan, Dinggang Shen, Ismail Ben Ayed:
Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation. Comput. Medical Imaging Graph. 79: 101660 (2020)
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  - journals/ijcv/NieS20
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Dong Nie, Dinggang Shen:
Adversarial Confidence Learning for Medical Image Segmentation and Synthesis. Int. J. Comput. Vis. 128(10): 2494-2513 (2020)
[j340]
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Yanrong Guo, Zhengwang Wu, Dinggang Shen:
Learning longitudinal classification-regression model for infant hippocampus segmentation. Neurocomputing 391: 191-198 (2020)
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  - journals/imst/XuACXLLS20
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Shengzhou Xu, Ehsan Adeli, Jie-Zhi Cheng, Lei Xiang, Yang Li, Seong-Whan Lee, Dinggang Shen:
Mammographic mass segmentation using multichannel and multiscale fully convolutional networks. Int. J. Imaging Syst. Technol. 30(4): 1095-1107 (2020)
[j338]
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  - journals/mia/WuHFSY20
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Ye Wu, Yoonmi Hong, Yuanjing Feng, Dinggang Shen, Pew-Thian Yap:
Mitigating gyral bias in cortical tractography via asymmetric fiber orientation distributions. Medical Image Anal. 59 (2020)
[j337]
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Jun Zhang, Mingxia Liu, Li Wang, Si Chen, Peng Yuan, Jianfu Li, Steve Guo-Fang Shen, Zhen Tang, Ken-Chung Chen, James J. Xia, Dinggang Shen:
Context-guided fully convolutional networks for joint craniomaxillofacial bone segmentation and landmark digitization. Medical Image Anal. 60 (2020)
[j336]
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  - journals/mia/ZhouTLSZS20
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Tao Zhou, Kim-Han Thung, Mingxia Liu, Feng Shi, Changqing Zhang, Dinggang Shen:
Multi-modal latent space inducing ensemble SVM classifier for early dementia diagnosis with neuroimaging data. Medical Image Anal. 60 (2020)
[j335]
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  - journals/mia/ShenSFLDSQJS20
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Yaxin Shen, Bin Sheng, Ruogu Fang, Huating Li, Ling Dai, Skylar E. Stolte, Jing Qin, Weiping Jia, Dinggang Shen:
Domain-invariant interpretable fundus image quality assessment. Medical Image Anal. 61: 101654 (2020)
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Liangqiong Qu, Yongqin Zhang, Shuai Wang, Pew-Thian Yap, Dinggang Shen:
Synthesized 7T MRI from 3T MRI via deep learning in spatial and wavelet domains. Medical Image Anal. 62: 101663 (2020)
[j333]
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Biao Jie, Mingxia Liu, Chunfeng Lian, Feng Shi, Dinggang Shen:
Designing weighted correlation kernels in convolutional neural networks for functional connectivity based brain disease diagnosis. Medical Image Anal. 63: 101709 (2020)
[j332]
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  - journals/mia/BenkarimPRHESLB20
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Oualid M. Benkarim, Gemma Piella, Islem Rekik, Nadine Hahner, Elisenda Eixarch, Dinggang Shen, Gang Li, Miguel Ángel González Ballester, Gerard Sanroma:
A novel approach to multiple anatomical shape analysis: Application to fetal ventriculomegaly. Medical Image Anal. 64: 101750 (2020)
[j331]
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Dongming Wei, Sahar Ahmad, Jiayu Huo, Pu Huang, Pew-Thian Yap, Zhong Xue, Jianqi Sun, Wentao Li, Dinggang Shen, Qian Wang:
SLIR: Synthesis, localization, inpainting, and registration for image-guided thermal ablation of liver tumors. Medical Image Anal. 65: 101763 (2020)
[j330]
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  - journals/neuroimage/ChenFHCSL20
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Yong Chen, Zhenghan Fang, Sheng-Che Hung, Weitang Chang, Dinggang Shen, Weili Lin:
High-resolution 3D MR Fingerprinting using parallel imaging and deep learning. NeuroImage 206 (2020)
[j329]
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Xiaopeng Zong, Chunfeng Lian, Jordan Jimenez, Koji Yamashita, Dinggang Shen, Weili Lin:
Morphology of perivascular spaces and enclosed blood vessels in young to middle-aged healthy adults at 7T: Dependences on age, brain region, and breathing gas. NeuroImage 218: 116978 (2020)
[j328]
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Yang Li, Jingyu Liu, Zi-Wen Peng, Can Sheng, Minjeong Kim, Pew-Thian Yap, Chong-Yaw Wee, Dinggang Shen:
Fusion of ULS Group Constrained High- and Low-Order Sparse Functional Connectivity Networks for MCI Classification. Neuroinformatics 18(1): 1-24 (2020)
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Hancan Zhu, Ehsan Adeli, Feng Shi, Dinggang Shen:
FCN Based Label Correction for Multi-Atlas Guided Organ Segmentation. Neuroinformatics 18(2): 319-331 (2020)
[j326]
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Chunfeng Lian, Mingxia Liu, Jun Zhang, Dinggang Shen:
Hierarchical Fully Convolutional Network for Joint Atrophy Localization and Alzheimer's Disease Diagnosis Using Structural MRI. IEEE Trans. Pattern Anal. Mach. Intell. 42(4): 880-893 (2020)
[j325]
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Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Lei Wang, En Zhu, Tongliang Liu, Marius Kloft, Dinggang Shen, Jianping Yin, Wen Gao:
Multiple Kernel $k$k-Means with Incomplete Kernels. IEEE Trans. Pattern Anal. Mach. Intell. 42(5): 1191-1204 (2020)
[j324]
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  - journals/pr/YinASS20
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Qingbo Yin, Ehsan Adeli, Liran Shen, Dinggang Shen:
Population-guided large margin classifier for high-dimension low-sample-size problems. Pattern Recognit. 97 (2020)
[j323]
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Dongming Wei, Lichi Zhang, Zhengwang Wu, Xiaohuan Cao, Gang Li, Dinggang Shen, Qian Wang:
Deep morphological simplification network (MS-Net) for guided registration of brain magnetic resonance images. Pattern Recognit. 100: 107171 (2020)
[j322]
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Qinglin Dong, Fangfei Ge, Ning Qiang, Yu Zhao, Jinglei Lv, Heng Huang, Jing Yuan, Xi Jiang, Dinggang Shen, Tianming Liu:
Modeling Hierarchical Brain Networks via Volumetric Sparse Deep Belief Network. IEEE Trans. Biomed. Eng. 67(6): 1739-1748 (2020)
[j321]
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Xiao Jiang, Limei Zhang, Lishan Qiao, Dinggang Shen:
Estimating Functional Connectivity Networks via Low-Rank Tensor Approximation With Applications to MCI Identification. IEEE Trans. Biomed. Eng. 67(7): 1912-1920 (2020)
[j320]
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Mingliang Wang, Chunfeng Lian, Dongren Yao, Daoqiang Zhang, Mingxia Liu, Dinggang Shen:
Spatial-Temporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via Convolutional-Recurrent Network. IEEE Trans. Biomed. Eng. 67(8): 2241-2252 (2020)
[j319]
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Lei Xiang, Yong Chen, Weitang Chang, Yiqiang Zhan, Weili Lin, Qian Wang, Dinggang Shen:
Corrections to "Deep Learning Based Multi-Modal Fusion for Fast MR Reconstruction". IEEE Trans. Biomed. Eng. 67(9): 2705 (2020)
[j318]
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Dong Nie, Roger Trullo, Jun Lian, Li Wang, Caroline Petitjean, Su Ruan, Qian Wang, Dinggang Shen:
Corrections to "Medical Image Synthesis With Deep Convolutional Adversarial Networks". IEEE Trans. Biomed. Eng. 67(9): 2706 (2020)
[j317]
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Shuai Wang, Qian Wang, Yeqin Shao, Liangqiong Qu, Chunfeng Lian, Jun Lian, Dinggang Shen:
Iterative Label Denoising Network: Segmenting Male Pelvic Organs in CT From 3D Bounding Box Annotations. IEEE Trans. Biomed. Eng. 67(10): 2710-2720 (2020)
[j316]
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Mingxia Liu, Jun Zhang, Chunfeng Lian, Dinggang Shen:
Weakly Supervised Deep Learning for Brain Disease Prognosis Using MRI and Incomplete Clinical Scores. IEEE Trans. Cybern. 50(7): 3381-3392 (2020)
[j315]
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  - journals/tip/ZhouNAYLS20
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Sihang Zhou, Dong Nie, Ehsan Adeli, Jianping Yin, Jun Lian, Dinggang Shen:
High-Resolution Encoder-Decoder Networks for Low-Contrast Medical Image Segmentation. IEEE Trans. Image Process. 29: 461-475 (2020)
[j314]
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Zhenyu Tang, Xianli Liu, Yang Li, Pew-Thian Yap, Dinggang Shen:
Multi-Atlas Brain Parcellation Using Squeeze-and-Excitation Fully Convolutional Networks. IEEE Trans. Image Process. 29: 6864-6872 (2020)
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Xuhua Ren, Sahar Ahmad, Lichi Zhang, Lei Xiang, Dong Nie, Fan Yang, Qian Wang, Dinggang Shen:
Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation. IEEE Trans. Image Process. 29: 7497-7510 (2020)
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Siyuan Liu, Kim-Han Thung, Weili Lin, Pew-Thian Yap, Dinggang Shen:
Real-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal Residual Neural Networks. IEEE Trans. Image Process. 29: 7697-7706 (2020)
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Dan Hu, Zhengwang Wu, Weili Lin, Gang Li, Dinggang Shen:
Hierarchical Rough-to-Fine Model for Infant Age Prediction Based on Cortical Features. IEEE J. Biomed. Health Informatics 24(1): 214-225 (2020)
[j310]
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Ehsan Adeli-Mosabbeb, S. H. Rekik, Sang Hyun Park, Dinggang Shen:
Editorial: Predictive Intelligence in Biomedical and Health Informatics. IEEE J. Biomed. Health Informatics 24(2): 333-335 (2020)
[j309]
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Weikai Li, Limei Zhang, Lishan Qiao, Dinggang Shen:
Toward a Better Estimation of Functional Brain Network for Mild Cognitive Impairment Identification: A Transfer Learning View. IEEE J. Biomed. Health Informatics 24(4): 1160-1168 (2020)
[j308]
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Wanqi Yang, Yinghuan Shi, Sang Hyun Park, Ming Yang, Yang Gao, Dinggang Shen:
An Effective MR-Guided CT Network Training for Segmenting Prostate in CT Images. IEEE J. Biomed. Health Informatics 24(8): 2278-2291 (2020)
[j307]
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Liang Sun, Zhanhao Mo, Fuhua Yan, Liming Xia, Fei Shan, Zhongxiang Ding, Bin Song, Wanchun Gao, Wei Shao, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, Ying Wei, Yaozong Gao, He Sui, Daoqiang Zhang, Dinggang Shen:
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT. IEEE J. Biomed. Health Informatics 24(10): 2798-2805 (2020)
[j306]
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Tae-Eui Kam, Han Zhang, Zhicheng Jiao, Dinggang Shen:
Deep Learning of Static and Dynamic Brain Functional Networks for Early MCI Detection. IEEE Trans. Medical Imaging 39(2): 478-487 (2020)
[j305]
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Zhenghan Fang, Yong Chen, Mingxia Liu, Lei Xiang, Qian Zhang, Qian Wang, Weili Lin, Dinggang Shen:
Erratum to "Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting". IEEE Trans. Medical Imaging 39(2): 543 (2020)
[j304]
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Mingliang Wang, Daoqiang Zhang, Jiashuang Huang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu:
Identifying Autism Spectrum Disorder With Multi-Site fMRI via Low-Rank Domain Adaptation. IEEE Trans. Medical Imaging 39(3): 644-655 (2020)
[j303]
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Xu Chen, James J. Xia, Dinggang Shen, Chunfeng Lian, Li Wang, Hannah H. Deng, Steve H. Fung, Dong Nie, Kim-Han Thung, Pew-Thian Yap, Jaime Gateno:
One-Shot Generative Adversarial Learning for MRI Segmentation of Craniomaxillofacial Bony Structures. IEEE Trans. Medical Imaging 39(3): 787-796 (2020)
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  - journals/tmi/KumarVAZOTCHLHW20
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Neeraj Kumar, Ruchika Verma, Deepak Anand, Yanning Zhou, Omer Fahri Onder, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng, Jiahui Li, Zhiqiang Hu, Yunzhi Wang, Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajeddin, Ali Gooya, Nasir M. Rajpoot, Xuhua Ren, Sihang Zhou, Qian Wang, Dinggang Shen, Cheng-Kun Yang, Chi-Hung Weng, Wei-Hsiang Yu, Chao-Yuan Yeh, Shuang Yang, Shuoyu Xu, Pak-Hei Yeung, Peng Sun, Amirreza Mahbod, Gerald Schaefer, Isabella Ellinger, Rupert Ecker, Örjan Smedby, Chunliang Wang, Benjamin Chidester, That-Vinh Ton, Minh-Triet Tran, Jian Ma, Minh N. Do, Simon Graham, Quoc Dang Vu, Jin Tae Kwak, Akshaykumar Gunda, Raviteja Chunduri, Corey Hu, Xiaoyang Zhou, Dariush Lotfi, Reza Safdari, Antanas Kascenas, Alison O'Neil, Dennis Eschweiler, Johannes Stegmaier, Yanping Cui, Baocai Yin, Kailin Chen, Xinmei Tian, Philipp Grüning, Erhardt Barth, Elad Arbel, Itay Remer, Amir Ben-Dor, Ekaterina Sirazitdinova, Matthias Kohl, Stefan Braunewell, Yuexiang Li, Xinpeng Xie, Linlin Shen, Jun Ma, Krishanu Das Baksi, Mohammad Azam Khan, Jaegul Choo, Adrián Colomer, Valery Naranjo, Linmin Pei, Khan M. Iftekharuddin, Kaushiki Roy, Debotosh Bhattacharjee, Aníbal Pedraza, Maria Gloria Bueno, Sabarinathan Devanathan, Saravanan Radhakrishnan, Praveen Koduganty, Zihan Wu, Guanyu Cai, Xiaojie Liu, Yuqin Wang, Amit Sethi:
A Multi-Organ Nucleus Segmentation Challenge. IEEE Trans. Medical Imaging 39(5): 1380-1391 (2020)
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Zhenyu Tang, Yuyun Xu, Lei Jin, Abudumijiti Aibaidula, Junfeng Lu, Zhicheng Jiao, Jinsong Wu, Han Zhang, Dinggang Shen:
Deep Learning of Imaging Phenotype and Genotype for Predicting Overall Survival Time of Glioblastoma Patients. IEEE Trans. Medical Imaging 39(6): 2100-2109 (2020)
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Shuai Wang, Dong Nie, Liangqiong Qu, Yeqin Shao, Jun Lian, Qian Wang, Dinggang Shen:
CT Male Pelvic Organ Segmentation via Hybrid Loss Network With Incomplete Annotation. IEEE Trans. Medical Imaging 39(6): 2151-2162 (2020)
[j299]
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Chunfeng Lian, Li Wang, Tai-Hsien Wu, Fan Wang, Pew-Thian Yap, Ching-Chang Ko, Dinggang Shen:
Deep Multi-Scale Mesh Feature Learning for Automated Labeling of Raw Dental Surfaces From 3D Intraoral Scanners. IEEE Trans. Medical Imaging 39(7): 2440-2450 (2020)
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Dinggang Shen, Yaozong Gao, Arrate Muñoz-Barrutia, Delia Cabrera DeBuc, Gennaro Percannella:
Guest Editorial: Special Issue on Imaging-Based Diagnosis of COVID-19. IEEE Trans. Medical Imaging 39(8): 2569-2571 (2020)
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Xi Ouyang, Jiayu Huo, Liming Xia, Fei Shan, Jun Liu, Zhanhao Mo, Fuhua Yan, Zhongxiang Ding, Qi Yang, Bin Song, Feng Shi, Huan Yuan, Ying Wei, Xiaohuan Cao, Yaozong Gao, Dijia Wu, Qian Wang, Dinggang Shen:
Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia. IEEE Trans. Medical Imaging 39(8): 2595-2605 (2020)
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Hengyuan Kang, Liming Xia, Fuhua Yan, Zhibin Wan, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, He Sui, Changqing Zhang, Dinggang Shen:
Diagnosis of Coronavirus Disease 2019 (COVID-19) With Structured Latent Multi-View Representation Learning. IEEE Trans. Medical Imaging 39(8): 2606-2614 (2020)
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Shujun Liang, Kim-Han Thung, Dong Nie, Yu Zhang, Dinggang Shen:
Multi-View Spatial Aggregation Framework for Joint Localization and Segmentation of Organs at Risk in Head and Neck CT Images. IEEE Trans. Medical Imaging 39(9): 2794-2805 (2020)
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Yongsheng Pan, Mingxia Liu, Chunfeng Lian, Yong Xia, Dinggang Shen:
Spatially-Constrained Fisher Representation for Brain Disease Identification With Incomplete Multi-Modal Neuroimages. IEEE Trans. Medical Imaging 39(9): 2965-2975 (2020)
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Jun Wang, Lichi Zhang, Qian Wang, Lei Chen, Jun Shi, Xiaobo Chen, Zuoyong Li, Dinggang Shen:
Multi-Class ASD Classification Based on Functional Connectivity and Functional Correlation Tensor via Multi-Source Domain Adaptation and Multi-View Sparse Representation. IEEE Trans. Medical Imaging 39(10): 3137-3147 (2020)
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Khoi Minh Huynh, Tiantian Xu, Ye Wu, Xifeng Wang, Geng Chen, Haiyong Wu, Kim-Han Thung, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Probing Tissue Microarchitecture of the Baby Brain via Spherical Mean Spectrum Imaging. IEEE Trans. Medical Imaging 39(11): 3607-3618 (2020)
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Siyuan Liu, Kim-Han Thung, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Hierarchical Nonlocal Residual Networks for Image Quality Assessment of Pediatric Diffusion MRI With Limited and Noisy Annotations. IEEE Trans. Medical Imaging 39(11): 3691-3702 (2020)
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Dan Hu, Han Zhang, Zhengwang Wu, Fan Wang, Li Wang, J. Keith Smith, Weili Lin, Gang Li, Dinggang Shen:
Disentangled-Multimodal Adversarial Autoencoder: Application to Infant Age Prediction With Incomplete Multimodal Neuroimages. IEEE Trans. Medical Imaging 39(12): 4137-4149 (2020)
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Yinghuan Shi, Heung-Il Suk, Yang Gao, Seong-Whan Lee, Dinggang Shen:
Leveraging Coupled Interaction for Multimodal Alzheimer's Disease Diagnosis. IEEE Trans. Neural Networks Learn. Syst. 31(1): 186-200 (2020)
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Zhengyang Wang, Na Zou, Dinggang Shen, Shuiwang Ji:
Non-Local U-Nets for Biomedical Image Segmentation. AAAI 2020: 6315-6322
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Bing Cao, Han Zhang, Nannan Wang, Xinbo Gao, Dinggang Shen:
Auto-GAN: Self-Supervised Collaborative Learning for Medical Image Synthesis. AAAI 2020: 10486-10493
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  - conf/bibm/Ke0WJLS20
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Jing Ke, Yiqing Shen, Jason D. Wright, Naifeng Jing, Xiaoyao Liang, Dinggang Shen:
Identifying patch-level MSI from histological images of Colorectal Cancer by a Knowledge Distillation Model. BIBM 2020: 1043-1046
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  - conf/icassp/QinWHSGS20
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Tiexin Qin, Ziyuan Wang, Kelei He, Yinghuan Shi, Yang Gao, Dinggang Shen:
Automatic Data Augmentation Via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation. ICASSP 2020: 1419-1423
[c527]
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  - conf/isbi/WeiBWWXLS20
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Jie Wei, Duc Toan Bui, Zhengwang Wu, Li Wang, Yong Xia, Gang Li, Dinggang Shen:
7T Guided 3T Brain Tissue Segmentation Using Cascaded Nested Network. ISBI 2020: 140-143
[c526]
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Toan Duc Bui, Li Wang, Weili Lin, Gang Li, Dinggang Shen:
6-Month Infant Brain Mri Segmentation Guided by 24-Month Data Using Cycle-Consistent Adversarial Networks. ISBI 2020: 359-362
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Dongren Yao, Jing Sui, Erkun Yang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu:
Temporal-Adaptive Graph Convolutional Network for Automated Identification of Major Depressive Disorder Using Resting-State fMRI. MLMI@MICCAI 2020: 1-10
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Maryam Ghanbari, Li-Ming Hsu, Zhen Zhou, Amir Ghanbari, Zhanhao Mo, Pew-Thian Yap, Han Zhang, Dinggang Shen:
A New Metric for Characterizing Dynamic Redundancy of Dense Brain Chronnectome and Its Application to Early Detection of Alzheimer's Disease. MICCAI (7) 2020: 3-12
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Tong Li, Zhuochen Wang, Yanbo Chen, Lichi Zhang, Yaozong Gao, Feng Shi, Dahong Qian, Qian Wang, Dinggang Shen:
Two-Stage Mapping-Segmentation Framework for Delineating COVID-19 Infections from Heterogeneous CT Images. TIA@MICCAI 2020: 3-13
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Mayssa Soussia, Xuyun Wen, Zhen Zhou, Bing Jin, Tae-Eui Kam, Li-Ming Hsu, Zhengwang Wu, Gang Li, Li Wang, Islem Rekik, Weili Lin, Dinggang Shen, Han Zhang:
A Computational Framework for Dissociating Development-Related from Individually Variable Flexibility in Regional Modularity Assignment in Early Infancy. MICCAI (7) 2020: 13-21
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Tao Zhong, Yu Zhang, Fenqiang Zhao, Yuchen Pei, Lufan Liao, Zhenyuan Ning, Li Wang, Dinggang Shen, Gang Li:
Domain-Invariant Prior Knowledge Guided Attention Networks for Robust Skull Stripping of Developing Macaque Brains. MICCAI (7) 2020: 22-32
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Hao Guan, Erkun Yang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu:
Attention-Guided Deep Domain Adaptation for Brain Dementia Identification with Multi-site Neuroimaging Data. DART/DCL@MICCAI 2020: 31-40
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Sahar Ahmad, Ye Wu, Khoi Minh Huynh, Kim-Han Thung, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Fast Correction of Eddy-Current and Susceptibility-Induced Distortions Using Rotation-Invariant Contrasts. MICCAI (2) 2020: 34-43
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Dan Hu, Fan Wang, Han Zhang, Zhengwang Wu, Li Wang, Weili Lin, Gang Li, Dinggang Shen:
Disentangled Intensive Triplet Autoencoder for Infant Functional Connectome Fingerprinting. MICCAI (7) 2020: 72-82
[c517]
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  - conf/miccai/ChenSHSWL20
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Shuo Chen, Shanhui Sun, Xiaoqian Huang, Dinggang Shen, Qian Wang, Shu Liao:
Data-Consistency in Latent Space and Online Update Strategy to Guide GAN for Fast MRI Reconstruction. MLMIR@MICCAI 2020: 82-90
[c516]
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Hao Guan, Erkun Yang, Li Wang, Pew-Thian Yap, Mingxia Liu, Dinggang Shen:
Linking Adolescent Brain MRI to Obesity via Deep Multi-cue Regression Network. MLMI@MICCAI 2020: 111-119
[c515]
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  - conf/miccai/XingJLCXPSS20
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Xiaodan Xing, Lili Jin, Qinfeng Li, Lei Chen, Zhong Xue, Ziwen Peng, Feng Shi, Dinggang Shen:
Detection of Discriminative Neurological Circuits Using Hierarchical Graph Convolutional Networks in fMRI Sequences. UNSURE/GRAIL@MICCAI 2020: 121-130
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Xin Zhang, Jiale Cheng, Hao Ni, Chenyang Li, Xiangmin Xu, Zhengwang Wu, Li Wang, Weili Lin, Dinggang Shen, Gang Li:
Infant Cognitive Scores Prediction with Multi-stream Attention-Based Temporal Path Signature Features. MICCAI (7) 2020: 134-144
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  - conf/miccai/LuOLS20
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Jintao Lu, Xi Ouyang, Tianjiao Liu, Dinggang Shen:
Identifying Thyroid Nodules in Ultrasound Images Through Segmentation-Guided Discriminative Localization. MICCAI (Challenges) 2020: 135-144
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Xueda Shen, Xi Ouyang, Tianjiao Liu, Dinggang Shen:
Cascaded Networks for Thyroid Nodule Diagnosis from Ultrasound Images. MICCAI (Challenges) 2020: 145-154
[c511]
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  - conf/miccai/ChengCZLSY20
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Feng Cheng, Yong Chen, Xiaopeng Zong, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Acceleration of High-Resolution 3D MR Fingerprinting via a Graph Convolutional Network. MICCAI (2) 2020: 158-166
[c510]
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Sheng Wang, Jiayu Huo, Xi Ouyang, Jifei Che, Zhong Xue, Dinggang Shen, Qian Wang, Jie-Zhi Cheng:
mr²NST: Multi-resolution and Multi-reference Neural Style Transfer for Mammography. PRIME@MICCAI 2020: 169-177
[c509]
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Zhenyuan Ning, Yu Zhang, Yongsheng Pan, Tao Zhong, Mingxia Liu, Dinggang Shen:
LDGAN: Longitudinal-Diagnostic Generative Adversarial Network for Disease Progression Prediction with Missing Structural MRI. MLMI@MICCAI 2020: 170-179
[c508]
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Dongdong Gu, Xiaohuan Cao, Shanshan Ma, Lei Chen, Guocai Liu, Dinggang Shen, Zhong Xue:
Pair-Wise and Group-Wise Deformation Consistency in Deep Registration Network. MICCAI (3) 2020: 171-180
[c507]
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  - conf/miccai/ChenCCGSWX20
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Liyun Chen, Xiaohuan Cao, Lei Chen, Yaozong Gao, Dinggang Shen, Qian Wang, Zhong Xue:
Semantic Hierarchy Guided Registration Networks for Intra-subject Pulmonary CT Image Alignment. MICCAI (3) 2020: 181-189
[c506]
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Erkun Yang, Dongren Yao, Bing Cao, Hao Guan, Pew-Thian Yap, Dinggang Shen, Mingxia Liu:
Deep Disentangled Hashing with Momentum Triplets for Neuroimage Search. MICCAI (1) 2020: 191-201
[c505]
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Jiayu Huo, Liping Si, Xi Ouyang, Kai Xuan, Weiwu Yao, Zhong Xue, Qian Wang, Dinggang Shen, Lichi Zhang:
A Self-ensembling Framework for Semi-supervised Knee Cartilage Defects Assessment with Dual-Consistency. PRIME@MICCAI 2020: 200-209
[c504]
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Shunbo Hu, Lintao Zhang, Yan Xu, Dinggang Shen:
Label-Driven Brain Deformable Registration Using Structural Similarity and Nonoverlap Constraints. MLMI@MICCAI 2020: 210-219
[c503]
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Ying Huang, Fan Wang, Zhengwang Wu, Zengsi Chen, Han Zhang, Li Wang, Weili Lin, Dinggang Shen, Gang Li:
Construction of Spatiotemporal Infant Cortical Surface Functional Templates. MICCAI (7) 2020: 238-248
[c502]
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Bin Xiao, Naying He, Qian Wang, Zhong Xue, Lei Chen, Fuhua Yan, Feng Shi, Dinggang Shen:
Joint Appearance-Feature Domain Adaptation: Application to QSM Segmentation Transfer. MLMI@MICCAI 2020: 241-249
[c501]
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  - conf/miccai/WuHALSY20
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Ye Wu, Yoonmi Hong, Sahar Ahmad, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Tract Dictionary Learning for Fast and Robust Recognition of Fiber Bundles. MICCAI (7) 2020: 251-259
[c500]
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  - conf/miccai/WuHACLSY20
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Ye Wu, Yoonmi Hong, Sahar Ahmad, Wei-Tang Chang, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Globally Optimized Super-Resolution of Diffusion MRI Data via Fiber Continuity. MICCAI (7) 2020: 260-269
[c499]
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Geng Chen, Yoonmi Hong, Yongqin Zhang, Jaeil Kim, Khoi Minh Huynh, Jiquan Ma, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Estimating Tissue Microstructure with Undersampled Diffusion Data via Graph Convolutional Neural Networks. MICCAI (7) 2020: 280-290
[c498]
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Khoi Minh Huynh, Ye Wu, Kim-Han Thung, Sahar Ahmad, Hoyt Patrick Taylor IV, Dinggang Shen, Pew-Thian Yap:
Characterizing Intra-soma Diffusion with Spherical Mean Spectrum Imaging. MICCAI (7) 2020: 354-363
[c497]
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  - conf/miccai/ZhaoWWLXSL20
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Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Shunren Xia, Dinggang Shen, Gang Li:
Unsupervised Learning for Spherical Surface Registration. MLMI@MICCAI 2020: 373-383
[c496]
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Yuchen Pei, Li Wang, Fenqiang Zhao, Tao Zhong, Lufan Liao, Dinggang Shen, Gang Li:
Anatomy-Guided Convolutional Neural Network for Motion Correction in Fetal Brain MRI. MLMI@MICCAI 2020: 384-393
[c495]
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Songyao Zhang, Lei Du, Jinglei Lv, Zhibin He, Xi Jiang, Lei Guo, Li Wang, Tianming Liu, Dinggang Shen, Gang Li, Tuo Zhang:
Gyral Growth Patterns of Macaque Brains Revealed by Scattered Orthogonal Nonnegative Matrix Factorization. MLMI@MICCAI 2020: 394-403
[c494]
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Lufan Liao, Xin Zhang, Fenqiang Zhao, Tao Zhong, Yuchen Pei, Xiangmin Xu, Li Wang, He Zhang, Dinggang Shen, Gang Li:
Joint Image Quality Assessment and Brain Extraction of Fetal MRI Using Deep Learning. MICCAI (6) 2020: 415-424
[c493]
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Xuanang Xu, Chunfeng Lian, Shuai Wang, Andrew Z. Wang, Trevor J. Royce, Ronald C. Chen, Jun Lian, Dinggang Shen:
Asymmetrical Multi-task Attention U-Net for the Segmentation of Prostate Bed in CT Image. MICCAI (4) 2020: 470-479
[c492]
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Linlin Yao, Pengbo Jiang, Zhong Xue, Yiqiang Zhan, Dijia Wu, Lichi Zhang, Qian Wang, Feng Shi, Dinggang Shen:
Graph Convolutional Network Based Point Cloud for Head and Neck Vessel Labeling. MLMI@MICCAI 2020: 474-483
[c491]
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Yunbi Liu, Yongsheng Pan, Wei Yang, Zhenyuan Ning, Ling Yue, Mingxia Liu, Dinggang Shen:
Joint Neuroimage Synthesis and Representation Learning for Conversion Prediction of Subjective Cognitive Decline. MICCAI (7) 2020: 583-592
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Liangjun Chen, Zhengwang Wu, Dan Hu, Ya Wang, Zhanhao Mo, Li Wang, Weili Lin, Dinggang Shen, Gang Li:
A Deep Spatial Context Guided Framework for Infant Brain Subcortical Segmentation. MICCAI (7) 2020: 646-656
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Yunbi Liu, Mingxia Liu, Yuhua Xi, Genggeng Qin, Dinggang Shen, Wei Yang:
Generating Dual-Energy Subtraction Soft-Tissue Images from Chest Radiographs via Bone Edge-Guided GAN. MICCAI (2) 2020: 678-687
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Chunfeng Lian, Fan Wang, Hannah H. Deng, Li Wang, Deqiang Xiao, Tianshu Kuang, Hung-Ying Lin, Jaime Gateno, Steve Guo-Fang Shen, Pew-Thian Yap, James J. Xia, Dinggang Shen:
Multi-task Dynamic Transformer Network for Concurrent Bone Segmentation and Large-Scale Landmark Localization with Dental CBCT. MICCAI (4) 2020: 807-816
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Yankun Lang, Chunfeng Lian, Deqiang Xiao, Hannah H. Deng, Peng Yuan, Jaime Gateno, Steve Guo-Fang Shen, David M. Alfi, Pew-Thian Yap, James J. Xia, Dinggang Shen:
Automatic Localization of Landmarks in Craniomaxillofacial CBCT Images Using a Local Attention-Based Graph Convolution Network. MICCAI (4) 2020: 817-826
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Khoi Minh Huynh, Tiantian Xu, Ye Wu, Xifeng Wang, Geng Chen, Haiyong Wu, Kim-Han Thung, Weili Lin, Dinggang Shen, Pew-Thian Yap:
24 shells diffusion MRI. Zenodo, 2020
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Khoi Minh Huynh, Tiantian Xu, Ye Wu, Xifeng Wang, Geng Chen, Haiyong Wu, Kim-Han Thung, Weili Lin, Dinggang Shen, Pew-Thian Yap:
24-shell diffusion MRI data. Zenodo, 2020
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Khoi Minh Huynh, Tiantian Xu, Ye Wu, Xifeng Wang, Geng Chen, Haiyong Wu, Kim-Han Thung, Weili Lin, Dinggang Shen, Pew-Thian Yap:
24-shell diffusion MRI data. Zenodo, 2020
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Khoi Minh Huynh, Tiantian Xu, Ye Wu, Xifeng Wang, Geng Chen, Haiyong Wu, Kim-Han Thung, Weili Lin, Dinggang Shen, Pew-Thian Yap:
24-shell diffusion MRI data. Zenodo, 2020
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Siyuan Liu, Kim-Han Thung, Liangqiong Qu, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Code used in article "Learning MRI artefact removal with unpaired data". Zenodo, 2020
[i45]
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  - journals/corr/abs-2002-09703
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Tiexin Qin, Ziyuan Wang, Kelei He, Yinghuan Shi, Yang Gao, Dinggang Shen:
Automatic Data Augmentation via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation. CoRR abs/2002.09703 (2020)
[i44]
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  - journals/corr/abs-2002-10908
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Yoonmi Hong, Wei-Tang Chang, Geng Chen, Ye Wu, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Multifold Acceleration of Diffusion MRI via Slice-Interleaved Diffusion Encoding (SIDE). CoRR abs/2002.10908 (2020)
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  - journals/corr/abs-2003-04655
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Fei Shan, Yaozong Gao, Jun Wang, Weiya Shi, Nannan Shi, Miaofei Han, Zhong Xue, Dinggang Shen, Yuxin Shi:
Lung Infection Quantification of COVID-19 in CT Images with Deep Learning. CoRR abs/2003.04655 (2020)
[i42]
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  - journals/corr/abs-2003-09860
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Feng Shi, Liming Xia, Fei Shan, Dijia Wu, Ying Wei, Huan Yuan, Huiting Jiang, Yaozong Gao, He Sui, Dinggang Shen:
Large-Scale Screening of COVID-19 from Community Acquired Pneumonia using Infection Size-Aware Classification. CoRR abs/2003.09860 (2020)
[i41]
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  - journals/corr/abs-2003-11988
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Zhenyu Tang, Wei Zhao, Xingzhi Xie, Zheng Zhong, Feng Shi, Jun Liu, Dinggang Shen:
Severity Assessment of Coronavirus Disease 2019 (COVID-19) Using Quantitative Features from Chest CT Images. CoRR abs/2003.11988 (2020)
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  - journals/corr/abs-2004-02731
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Feng Shi, Jun Wang, Jun Shi, Ziyan Wu, Qian Wang, Zhenyu Tang, Kelei He, Yinghuan Shi, Dinggang Shen:
Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19. CoRR abs/2004.02731 (2020)
[i39]
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  - journals/corr/abs-2005-02690
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Xi Ouyang, Jiayu Huo, Liming Xia, Fei Shan, Jun Liu, Zhanhao Mo, Fuhua Yan, Zhongxiang Ding, Qi Yang, Bin Song, Feng Shi, Huan Yuan, Ying Wei, Xiaohuan Cao, Yaozong Gao, Dijia Wu, Qian Wang, Dinggang Shen:
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia. CoRR abs/2005.02690 (2020)
[i38]
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  - journals/corr/abs-2005-03227
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Hengyuan Kang, Liming Xia, Fuhua Yan, Zhibin Wan, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, He Sui, Changqing Zhang, Dinggang Shen:
Diagnosis of Coronavirus Disease 2019 (COVID-19) with Structured Latent Multi-View Representation Learning. CoRR abs/2005.03227 (2020)
[i37]
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  - journals/corr/abs-2005-03264
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Liang Sun, Zhanhao Mo, Fuhua Yan, Liming Xia, Fei Shan, Zhongxiang Ding, Wei Shao, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, Ying Wei, Yaozong Gao, Wanchun Gao, He Sui, Daoqiang Zhang, Dinggang Shen:
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT. CoRR abs/2005.03264 (2020)
[i36]
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  - journals/corr/abs-2005-03405
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Xiaofeng Zhu, Bin Song, Feng Shi, Yanbo Chen, Rongyao Hu, Jiangzhang Gan, Wenhai Zhang, Man Li, Liye Wang, Yaozong Gao, Fei Shan, Dinggang Shen:
Joint Prediction and Time Estimation of COVID-19 Developing Severe Symptoms using Chest CT Scan. CoRR abs/2005.03405 (2020)
[i35]
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  - journals/corr/abs-2005-03832
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Kelei He, Wei Zhao, Xingzhi Xie, Wen Ji, Mingxia Liu, Zhenyu Tang, Feng Shi, Yang Gao, Jun Liu, Junfeng Zhang, Dinggang Shen:
Synergistic Learning of Lung Lobe Segmentation and Hierarchical Multi-Instance Classification for Automated Severity Assessment of COVID-19 in CT Images. CoRR abs/2005.03832 (2020)
[i34]
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  - journals/corr/abs-2005-04043
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Donglin Di, Feng Shi, Fuhua Yan, Liming Xia, Zhanhao Mo, Zhongxiang Ding, Fei Shan, Shengrui Li, Ying Wei, Ying Shao, Miaofei Han, Yaozong Gao, He Sui, Yue Gao, Dinggang Shen:
Hypergraph Learning for Identification of COVID-19 with CT Imaging. CoRR abs/2005.04043 (2020)
[i33]
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  - journals/corr/abs-2005-07462
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Kelei He, Chunfeng Lian, Ehsan Adeli, Jing Huo, Yinghuan Shi, Yang Gao, Bing Zhang, Junfeng Zhang, Dinggang Shen:
TripletUNet: Multi-Task U-Net with Online Voxel-Wise Learning for Precise CT Prostate Segmentation. CoRR abs/2005.07462 (2020)
[i32]
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  - journals/corr/abs-2005-09230
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Dongming Wei, Sahar Ahmad, Yunzhi Huang, Lei Ma, Qian Wang, Pew-Thian Yap, Dinggang Shen:
An Auto-Context Deformable Registration Network for Infant Brain MRI. CoRR abs/2005.09230 (2020)
[i31]
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  - journals/corr/abs-2005-10439
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Kelei He, Chunfeng Lian, Bing Zhang, Xin Zhang, Xiaohuan Cao, Dong Nie, Yang Gao, Junfeng Zhang, Dinggang Shen:
HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation. CoRR abs/2005.10439 (2020)
[i30]
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  - journals/corr/abs-2007-02096
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Yue Sun, Kun Gao, Zhengwang Wu, Zhihao Lei, Ying Wei, Jun Ma, Xiaoping Yang, Xue Feng, Li Zhao, Trung Le Phan, Jitae Shin, Tao Zhong, Yu Zhang, Lequan Yu, Caizi Li, Ramesh Basnet, M. Omair Ahmad, M. N. S. Swamy, Wenao Ma, Qi Dou, Toan Duc Bui, Camilo Bermudez Noguera, Bennett A. Landman, Ian H. Gotlib, Kathryn L. Humphreys, Sarah Shultz, Longchuan Li, Sijie Niu, Weili Lin, Valerie Jewells, Gang Li, Dinggang Shen, Li Wang:
Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge. CoRR abs/2007.02096 (2020)
[i29]
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  - journals/corr/abs-2007-16103
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Yinghuan Shi, Wanqi Yang, Kim-Han Thung, Hao Wang, Yang Gao, Yang Pan, Li Zhang, Dinggang Shen:
Learning-based Computer-aided Prescription Model for Parkinson's Disease: A Data-driven Perspective. CoRR abs/2007.16103 (2020)
[i28]
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  - journals/corr/abs-2009-02797
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Peirong Liu, Zhengwang Wu, Gang Li, Pew-Thian Yap, Dinggang Shen:
Deep Modeling of Growth Trajectories for Longitudinal Prediction of Missing Infant Cortical Surfaces. CoRR abs/2009.02797 (2020)
[i27]
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  - journals/corr/abs-2009-06899
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Xuyun Wen, Li-Ming Hsu, Weili Lin, Han Zhang, Dinggang Shen:
Co-evolution of Functional Brain Network at Multiple Scales during Early Infancy. CoRR abs/2009.06899 (2020)
[i26]
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  - journals/corr/abs-2012-13697
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Lingming Zhang, Yue Zhao, Deyu Meng, Zhiming Cui, Chenqiang Gao, Xinbo Gao, Chunfeng Lian, Dinggang Shen:
TSGCNet: Discriminative Geometric Feature Learning with Two-Stream GraphConvolutional Network for 3D Dental Model Segmentation. CoRR abs/2012.13697 (2020)

2010 – 2019

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2019
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Euijin Jung, Philip Chikontwe, Xiaopeng Zong, Weili Lin, Dinggang Shen, Sang Hyun Park:
Enhancement of Perivascular Spaces Using Densely Connected Deep Convolutional Neural Network. IEEE Access 7: 18382-18391 (2019)
[j287]
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Yeqin Shao, Jaeil Kim, Yaozong Gao, Qian Wang, Weili Lin, Dinggang Shen:
Hippocampal Segmentation From Longitudinal Infant Brain MR Images via Classification-Guided Boundary Regression. IEEE Access 7: 33728-33740 (2019)
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Jingfan Fan, Jian Yang, Yachen Wang, Siyuan Yang, Danni Ai, Yong Huang, Hong Song, Yongtian Wang, Dinggang Shen:
Deep feature descriptor based hierarchical dense matching for X-ray angiographic images. Comput. Methods Programs Biomed. 175: 233-242 (2019)
[j285]
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  - journals/complexity/ZhaoRLLZS19
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Feng Zhao, Islem Rekik, Seong-Whan Lee, Jing Liu, Junying Zhang, Dinggang Shen:
Two-Phase Incremental Kernel PCA for Learning Massive or Online Datasets. Complex. 2019: 5937274:1-5937274:17 (2019)
[j284]
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  - journals/fini/ZhuSWHCWLS19
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Hancan Zhu, Feng Shi, Li Wang, Sheng-Che Hung, Meng-Hsiang Chen, Shuai Wang, Weili Lin, Dinggang Shen:
Dilated Dense U-Net for Infant Hippocampus Subfield Segmentation. Frontiers Neuroinformatics 13: 30 (2019)
[j283]
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  - journals/fini/AhmadFDCYS19
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Sahar Ahmad, Jingfan Fan, Pei Dong, Xiaohuan Cao, Pew-Thian Yap, Dinggang Shen:
Deep Learning Deformation Initialization for Rapid Groupwise Registration of Inhomogeneous Image Populations. Frontiers Neuroinformatics 13: 34 (2019)
[j282]
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  - journals/mia/FangZNCRLHS19
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Longwei Fang, Lichi Zhang, Dong Nie, Xiaohuan Cao, Islem Rekik, Seong-Whan Lee, Huiguang He, Dinggang Shen:
Automatic brain labeling via multi-atlas guided fully convolutional networks. Medical Image Anal. 51: 157-168 (2019)
[j281]
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  - journals/mia/LiLGJKYWS19
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Yang Li, Jingyu Liu, Xinqiang Gao, Biao Jie, Minjeong Kim, Pew-Thian Yap, Chong-Yaw Wee, Dinggang Shen:
Multimodal hyper-connectivity of functional networks using functionally-weighted LASSO for MCI classification. Medical Image Anal. 52: 80-96 (2019)
[j280]
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  - journals/mia/ChenWSY19
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Geng Chen, Yafeng Wu, Dinggang Shen, Pew-Thian Yap:
Noise reduction in diffusion MRI using non-local self-similar information in joint x-q space. Medical Image Anal. 53: 79-94 (2019)
[j279]
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  - journals/mia/WangZSL19
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Mingliang Wang, Daoqiang Zhang, Dinggang Shen, Mingxia Liu:
Multi-task exclusive relationship learning for alzheimer's disease progression prediction with longitudinal data. Medical Image Anal. 53: 111-122 (2019)
[j278]
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Shuai Wang, Kelei He, Dong Nie, Sihang Zhou, Yaozong Gao, Dinggang Shen:
CT male pelvic organ segmentation using fully convolutional networks with boundary sensitive representation. Medical Image Anal. 54: 168-178 (2019)
[j277]
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  - journals/mia/FanCYS19
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Jingfan Fan, Xiaohuan Cao, Pew-Thian Yap, Dinggang Shen:
BIRNet: Brain image registration using dual-supervised fully convolutional networks. Medical Image Anal. 54: 193-206 (2019)
[j276]
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  - journals/mia/ZhangYCLWS19
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Yongqin Zhang, Pew-Thian Yap, Geng Chen, Weili Lin, Li Wang, Dinggang Shen:
Super-resolution reconstruction of neonatal brain magnetic resonance images via residual structured sparse representation. Medical Image Anal. 55: 76-87 (2019)
[j275]
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  - journals/mia/ChenDZLSY19
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Geng Chen, Bin Dong, Yong Zhang, Weili Lin, Dinggang Shen, Pew-Thian Yap:
XQ-SR: Joint x-q space super-resolution with application to infant diffusion MRI. Medical Image Anal. 57: 44-55 (2019)
[j274]
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Sahar Ahmad, Zhengwang Wu, Gang Li, Li Wang, Weili Lin, Pew-Thian Yap, Dinggang Shen:
Surface-constrained volumetric registration for the early developing brain. Medical Image Anal. 58 (2019)
[j273]
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Jingfan Fan, Xiaohuan Cao, Qian Wang, Pew-Thian Yap, Dinggang Shen:
Adversarial learning for mono- or multi-modal registration. Medical Image Anal. 58 (2019)
[j272]
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Tianjiao Liu, Qianqian Guo, Chunfeng Lian, Xuhua Ren, Shujun Liang, Jing Yu, Lijuan Niu, Weidong Sun, Dinggang Shen:
Automated detection and classification of thyroid nodules in ultrasound images using clinical-knowledge-guided convolutional neural networks. Medical Image Anal. 58 (2019)
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Xuyun Wen, Han Zhang, Gang Li, Mingxia Liu, Weiyan Yin, Weili Lin, Jun Zhang, Dinggang Shen:
First-year development of modules and hubs in infant brain functional networks. NeuroImage 185: 222-235 (2019)
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Dingna Duan, Shunren Xia, Islem Rekik, Yu Meng, Zhengwang Wu, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li:
Exploring folding patterns of infant cerebral cortex based on multi-view curvature features: Methods and applications. NeuroImage 185: 575-592 (2019)
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Han Zhang, Dinggang Shen, Weili Lin:
Resting-state functional MRI studies on infant brains: A decade of gap-filling efforts. NeuroImage 185: 664-684 (2019)
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Ehsan Adeli, Yu Meng, Gang Li, Weili Lin, Dinggang Shen:
Multi-task prediction of infant cognitive scores from longitudinal incomplete neuroimaging data. NeuroImage 185: 783-792 (2019)
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  - journals/neuroimage/HowellSGYWBYCPS19
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Brittany R. Howell, Martin A. Styner, Wei Gao, Pew-Thian Yap, Li Wang, Kristine Baluyot, Essa Yacoub, Geng Chen, Taylor Potts, Andrew P. Salzwedel, Gang Li, John H. Gilmore, Joseph Piven, J. Keith Smith, Dinggang Shen, Kâmil Ugurbil, Hongtu Zhu, Weili Lin, Jed T. Elison:
The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development. NeuroImage 185: 891-905 (2019)
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Gang Li, Li Wang, Pew-Thian Yap, Fan Wang, Zhengwang Wu, Yu Meng, Pei Dong, Jaeil Kim, Feng Shi, Islem Rekik, Weili Lin, Dinggang Shen:
Computational neuroanatomy of baby brains: A review. NeuroImage 185: 906-925 (2019)
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Liang Sun, Daoqiang Zhang, Chunfeng Lian, Li Wang, Zhengwang Wu, Wei Shao, Weili Lin, Dinggang Shen, Gang Li:
Topological correction of infant white matter surfaces using anatomically constrained convolutional neural network. NeuroImage 198: 114-124 (2019)
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Han Zhang, Panteleimon Giannakopoulos, Sven Haller, Seong-Whan Lee, Shijun Qiu, Dinggang Shen:
Inter-Network High-Order Functional Connectivity (IN-HOFC) and its Alteration in Patients with Mild Cognitive Impairment. Neuroinformatics 17(4): 547-561 (2019)
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Ehsan Adeli, Kim-Han Thung, Le An, Guorong Wu, Feng Shi, Tao Wang, Dinggang Shen:
Semi-Supervised Discriminative Classification Robust to Sample-Outliers and Feature-Noises. IEEE Trans. Pattern Anal. Mach. Intell. 41(2): 515-522 (2019)
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Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Lei Wang, Chang Tang, Jianping Yin, Dinggang Shen, Huaimin Wang, Wen Gao:
Late Fusion Incomplete Multi-View Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 41(10): 2410-2423 (2019)
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Jialin Peng, Xiaofeng Zhu, Ye Wang, Le An, Dinggang Shen:
Structured sparsity regularized multiple kernel learning for Alzheimer's disease diagnosis. Pattern Recognit. 88: 370-382 (2019)
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Yu Zhang, Han Zhang, Xiaobo Chen, Mingxia Liu, Xiaofeng Zhu, Seong-Whan Lee, Dinggang Shen:
Strength and similarity guided group-level brain functional network construction for MCI diagnosis. Pattern Recognit. 88: 421-430 (2019)
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Renping Yu, Lishan Qiao, Mingming Chen, Seong-Whan Lee, Xuan Fei, Dinggang Shen:
Weighted graph regularized sparse brain network construction for MCI identification. Pattern Recognit. 90: 220-231 (2019)
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  - journals/tbe/ZhouTLS19
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Tao Zhou, Kim-Han Thung, Mingxia Liu, Dinggang Shen:
Brain-Wide Genome-Wide Association Study for Alzheimer's Disease via Joint Projection Learning and Sparse Regression Model. IEEE Trans. Biomed. Eng. 66(1): 165-175 (2019)
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Mingxia Liu, Jun Zhang, Ehsan Adeli, Dinggang Shen:
Joint Classification and Regression via Deep Multi-Task Multi-Channel Learning for Alzheimer's Disease Diagnosis. IEEE Trans. Biomed. Eng. 66(5): 1195-1206 (2019)
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Lei Xiang, Yong Chen, Weitang Chang, Yiqiang Zhan, Weili Lin, Qian Wang, Dinggang Shen:
Deep-Learning-Based Multi-Modal Fusion for Fast MR Reconstruction. IEEE Trans. Biomed. Eng. 66(7): 2105-2114 (2019)
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Zhenyu Tang, Pew-Thian Yap, Dinggang Shen:
A New Image Similarity Metric for Improving Deformation Consistency in Graph-Based Groupwise Image Registration. IEEE Trans. Biomed. Eng. 66(8): 2192-2199 (2019)
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Yongqin Zhang, Feng Shi, Jian Cheng, Li Wang, Pew-Thian Yap, Dinggang Shen:
Longitudinally Guided Super-Resolution of Neonatal Brain Magnetic Resonance Images. IEEE Trans. Cybern. 49(2): 662-674 (2019)
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Dong Nie, Li Wang, Ehsan Adeli, Cuijin Lao, Weili Lin, Dinggang Shen:
3-D Fully Convolutional Networks for Multimodal Isointense Infant Brain Image Segmentation. IEEE Trans. Cybern. 49(3): 1123-1136 (2019)
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Jun Wang, Qian Wang, Han Zhang, Jiawei Chen, Shitong Wang, Dinggang Shen:
Sparse Multiview Task-Centralized Ensemble Learning for ASD Diagnosis Based on Age- and Sex-Related Functional Connectivity Patterns. IEEE Trans. Cybern. 49(8): 3141-3154 (2019)
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Zhenyu Tang, Pew-Thian Yap, Dinggang Shen:
A New Multi-Atlas Registration Framework for Multimodal Pathological Images Using Conventional Monomodal Normal Atlases. IEEE Trans. Image Process. 28(5): 2293-2304 (2019)
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Yongsheng Pan, Yong Xia, Dinggang Shen:
Foreground Fisher Vector: Encoding Class-Relevant Foreground to Improve Image Classification. IEEE Trans. Image Process. 28(10): 4716-4729 (2019)
[j249]
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  - journals/titb/CelebiCHS19
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M. Emre Celebi, Noel Codella, Allan Halpern, Dinggang Shen:
Guest Editorial Skin Lesion Image Analysis for Melanoma Detection. IEEE J. Biomed. Health Informatics 23(2): 479-480 (2019)
[j248]
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Qian Wang, Yinghuan Shi, Dinggang Shen:
Machine Learning in Medical Imaging. IEEE J. Biomed. Health Informatics 23(4): 1361-1362 (2019)
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Xuhua Ren, Tingting Li, Xiujun Yang, Shuai Wang, Sahar Ahmad, Lei Xiang, Shaun Richard Stone, Lihong Li, Yiqiang Zhan, Dinggang Shen, Qian Wang:
Regression Convolutional Neural Network for Automated Pediatric Bone Age Assessment From Hand Radiograph. IEEE J. Biomed. Health Informatics 23(5): 2030-2038 (2019)
[j246]
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Weikai Li, Lishan Qiao, Limei Zhang, Zhengxia Wang, Dinggang Shen:
Functional Brain Network Estimation With Time Series Self-Scrubbing. IEEE J. Biomed. Health Informatics 23(6): 2494-2504 (2019)
[j245]
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Kelei He, Xiaohuan Cao, Yinghuan Shi, Dong Nie, Yang Gao, Dinggang Shen:
Pelvic Organ Segmentation Using Distinctive Curve Guided Fully Convolutional Networks. IEEE Trans. Medical Imaging 38(2): 585-595 (2019)
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Changqing Zhang, Ehsan Adeli, Zhengwang Wu, Gang Li, Weili Lin, Dinggang Shen:
Infant Brain Development Prediction With Latent Partial Multi-View Representation Learning. IEEE Trans. Medical Imaging 38(4): 909-918 (2019)
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Yan Wang, Luping Zhou, Biting Yu, Lei Wang, Chen Zu, David S. Lalush, Weili Lin, Xi Wu, Jiliu Zhou, Dinggang Shen:
3D Auto-Context-Based Locality Adaptive Multi-Modality GANs for PET Synthesis. IEEE Trans. Medical Imaging 38(6): 1328-1339 (2019)
[j242]
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Peiyao Wang, Yufeng Liu, Dinggang Shen:
Flexible Locally Weighted Penalized Regression With Applications on Prediction of Alzheimer's Disease Neuroimaging Initiative's Clinical Scores. IEEE Trans. Medical Imaging 38(6): 1398-1408 (2019)
[j241]
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Khoi Minh Huynh, Geng Chen, Ye Wu, Dinggang Shen, Pew-Thian Yap:
Multi-Site Harmonization of Diffusion MRI Data via Method of Moments. IEEE Trans. Medical Imaging 38(7): 1599-1609 (2019)
[j240]
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Li Wang, Dong Nie, Guannan Li, Élodie Puybareau, Jose Dolz, Qian Zhang, Fan Wang, Jing Xia, Zhengwang Wu, Jiawei Chen, Kim-Han Thung, Toan Duc Bui, Jitae Shin, Guodong Zeng, Guoyan Zheng, Vladimir S. Fonov, Andrew Doyle, Yongchao Xu, Pim Moeskops, Josien P. W. Pluim, Christian Desrosiers, Ismail Ben Ayed, Gerard Sanroma, Oualid M. Benkarim, Adrià Casamitjana, Verónica Vilaplana, Weili Lin, Gang Li, Dinggang Shen:
Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge. IEEE Trans. Medical Imaging 38(9): 2219-2230 (2019)
[j239]
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Zhenghan Fang, Yong Chen, Mingxia Liu, Lei Xiang, Qian Zhang, Qian Wang, Weili Lin, Dinggang Shen:
Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting. IEEE Trans. Medical Imaging 38(10): 2375-2388 (2019)
[j238]
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Tao Zhou, Mingxia Liu, Kim-Han Thung, Dinggang Shen:
Latent Representation Learning for Alzheimer's Disease Diagnosis With Incomplete Multi-Modality Neuroimaging and Genetic Data. IEEE Trans. Medical Imaging 38(10): 2411-2422 (2019)
[j237]
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Yoonmi Hong, Jaeil Kim, Geng Chen, Weili Lin, Pew-Thian Yap, Dinggang Shen:
Longitudinal Prediction of Infant Diffusion MRI Data via Graph Convolutional Adversarial Networks. IEEE Trans. Medical Imaging 38(12): 2717-2725 (2019)
[j236]
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Geng Chen, Bin Dong, Yong Zhang, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Denoising of Diffusion MRI Data via Graph Framelet Matching in x-q Space. IEEE Trans. Medical Imaging 38(12): 2838-2848 (2019)
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Dong Nie, Li Wang, Yaozong Gao, Jun Lian, Dinggang Shen:
STRAINet: Spatially Varying sTochastic Residual AdversarIal Networks for MRI Pelvic Organ Segmentation. IEEE Trans. Neural Networks Learn. Syst. 30(5): 1552-1564 (2019)
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Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen:
Group sparse reduced rank regression for neuroimaging genetic study. World Wide Web 22(2): 673-688 (2019)
[j233]
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Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen:
Low-rank dimensionality reduction for multi-modality neurodegenerative disease identification. World Wide Web 22(2): 907-925 (2019)
[c486]
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Dong Nie, Li Wang, Lei Xiang, Sihang Zhou, Ehsan Adeli, Dinggang Shen:
Difficulty-Aware Attention Network with Confidence Learning for Medical Image Segmentation. AAAI 2019: 1085-1092
[c485]
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Zhicheng Jiao, Haoxuan You, Fan Yang, Xin Li, Han Zhang, Dinggang Shen:
Decoding EEG by Visual-guided Deep Neural Networks. IJCAI 2019: 1387-1393
[c484]
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Peirong Liu, Zhengwang Wu, Gang Li, Pew-Thian Yap, Dinggang Shen:
Deep Modeling of Growth Trajectories for Longitudinal Prediction of Missing Infant Cortical Surfaces. IPMI 2019: 277-288
[c483]
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Ye Wu, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Asymmetry Spectrum Imaging for Baby Diffusion Tractography. IPMI 2019: 319-331
[c482]
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Yoonmi Hong, Geng Chen, Pew-Thian Yap, Dinggang Shen:
Multifold Acceleration of Diffusion MRI via Deep Learning Reconstruction from Slice-Undersampled Data. IPMI 2019: 530-541
[c481]
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Fenqiang Zhao, Shunren Xia, Zhengwang Wu, Dingna Duan, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li:
Spherical U-Net on Cortical Surfaces: Methods and Applications. IPMI 2019: 855-866
[c480]
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Dingna Duan, Shunren Xia, Zhengwang Wu, Fan Wang, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li:
Cortical Foldingprints for Infant Identification. ISBI 2019: 396-399
[c479]
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Jing Xia, Fan Wang, Zhengwang Wu, Li Wang, Yaping Wang, Caiming Zhang, Weili Lin, Dinggang Shen, Gang Li:
Charting Development-Based Joint Parcellation Maps Of Human and Macaque Brains During Infancy. ISBI 2019: 422-425
[c478]
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Zengsi Chen, Zhengwang Wu, Liang Sun, Fan Wang, Li Wang, Fenqiang Zhao, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li:
Construction of 4D Neonatal Cortical Surface Atlases Using Wasserstein Distance. ISBI 2019: 995-998
[c477]
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Qian Zhang, Li Wang, Xiaopeng Zong, Weili Lin, Gang Li, Dinggang Shen:
Frnet: Flattened Residual Network for Infant MRI Skull Stripping. ISBI 2019: 999-1002
[c476]
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Guannan Li, Meng-Hsiang Chen, Gang Li, Di Wu, Quan-Sen Sun, Dinggang Shen, Li Wang:
A Preliminary Volumetric MRI Study of Amygdala and Hippocampal Subfields in Autism During Infancy. ISBI 2019: 1052-1056
[c475]
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Shuai Wang, Kelei He, Dong Nie, Sihang Zhou, Yaozong Gao, Dinggang Shen:
Hierarchical Representation For Ct Prostate Segmentation. ISBI 2019: 1501-1504
[c474]
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Fenqiang Zhao, Shunren Xia, Zhengwang Wu, Li Wang, Zengsi Chen, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li:
Spherical U-Net For Infant Cortical Surface Parcellation. ISBI 2019: 1882-1886
[c473]
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  - conf/miccai/RenZWS019
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Xuhua Ren, Lichi Zhang, Dongming Wei, Dinggang Shen, Qian Wang:
Brain MR Image Segmentation in Small Dataset with Adversarial Defense and Task Reorganization. MLMI@MICCAI 2019: 1-8
[c472]
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Zhengdong Wang, Biao Jie, Weixin Bian, Daoqiang Zhang, Dinggang Shen, Mingxia Liu:
Adaptive Thresholding of Functional Connectivity Networks for fMRI-Based Brain Disease Analysis. GLMI@MICCAI 2019: 18-26
[c471]
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Zhengdong Wang, Biao Jie, Mi Wang, Chunxiang Feng, Wen Zhou, Dinggang Shen, Mingxia Liu:
Graph-Kernel-Based Multi-task Structured Feature Selection on Multi-level Functional Connectivity Networks for Brain Disease Classification. GLMI@MICCAI 2019: 27-35
[c470]
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Yining Jiao, Oihane Mayo Ijurra, Lichi Zhang, Dinggang Shen, Qian Wang:
cuRadiomics: A GPU-Based Radiomics Feature Extraction Toolkit. RNO-AI@MICCAI 2019: 44-52
[c469]
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Olfa Ghribi, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik:
Progressive Infant Brain Connectivity Evolution Prediction from Neonatal MRI Using Bidirectionally Supervised Sample Selection. PRIME@MICCAI 2019: 63-72
[c468]
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Dongren Yao, Mingxia Liu, Mingliang Wang, Chunfeng Lian, Jie Wei, Li Sun, Jing Sui, Dinggang Shen:
Triplet Graph Convolutional Network for Multi-scale Analysis of Functional Connectivity Using Functional MRI. GLMI@MICCAI 2019: 70-78
[c467]
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Feihong Liu, Jun Feng, Geng Chen, Ye Wu, Yoonmi Hong, Pew-Thian Yap, Dinggang Shen:
DeepBundle: Fiber Bundle Parcellation with Graph Convolution Neural Networks. GLMI@MICCAI 2019: 88-95
[c466]
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Zhenghan Fang, Yong Chen, Dong Nie, Weili Lin, Dinggang Shen:
RCA-U-Net: Residual Channel Attention U-Net for Fast Tissue Quantification in Magnetic Resonance Fingerprinting. MICCAI (3) 2019: 101-109
[c465]
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Yankun Lang, Li Wang, Pew-Thian Yap, Chunfeng Lian, Hannah H. Deng, Kim-Han Thung, Deqiang Xiao, Peng Yuan, Steve Guo-Fang Shen, Jaime Gateno, Tianshu Kuang, David M. Alfi, James J. Xia, Dinggang Shen:
Automatic Detection of Craniomaxillofacial Anatomical Landmarks on CBCT Images Using 3D Mask R-CNN. GLMI@MICCAI 2019: 130-137
[c464]
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Yongsheng Pan, Mingxia Liu, Chunfeng Lian, Yong Xia, Dinggang Shen:
Disease-Image Specific Generative Adversarial Network for Brain Disease Diagnosis with Incomplete Multi-modal Neuroimages. MICCAI (3) 2019: 137-145
[c463]
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Yongsheng Pan, Mingxia Liu, Li Wang, Yong Xia, Dinggang Shen:
Discriminative-Region-Aware Residual Network for Adolescent Brain Structure and Cognitive Development Analysis. GLMI@MICCAI 2019: 138-146
[c462]
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Dan Hu, Han Zhang, Zhengwang Wu, Weili Lin, Gang Li, Dinggang Shen:
Deep Granular Feature-Label Distribution Learning for Neuroimaging-Based Infant Age Prediction. MICCAI (4) 2019: 149-157
[c461]
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Pu Huang, Dengwang Li, Zhicheng Jiao, Dongming Wei, Guoshi Li, Qian Wang, Han Zhang, Dinggang Shen:
CoCa-GAN: Common-Feature-Learning-Based Context-Aware Generative Adversarial Network for Glioma Grading. MICCAI (3) 2019: 155-163
[c460]
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Chunfeng Lian, Mingxia Liu, Li Wang, Dinggang Shen:
End-to-End Dementia Status Prediction from Brain MRI Using Multi-task Weakly-Supervised Attention Network. MICCAI (4) 2019: 158-167
[c459]
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Guannan Li, Meng-Hsiang Chen, Gang Li, Di Wu, Chunfeng Lian, Quansen Sun, Dinggang Shen, Li Wang:
A Longitudinal MRI Study of Amygdala and Hippocampal Subfields for Infants with Risk of Autism. GLMI@MICCAI 2019: 164-171
[c458]
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Jian Chen, Zhenghan Fang, Deqiang Xiao, Duc Toan Bui, Kim-Han Thung, Xianjun Li, Jian Yang, Weili Lin, Gang Li, Dinggang Shen, Li Wang:
CNS: CycleGAN-Assisted Neonatal Segmentation Model for Cross-Datasets. GLMI@MICCAI 2019: 172-179
[c457]
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Tao Zhou, Kim-Han Thung, Yu Zhang, Huazhu Fu, Jianbing Shen, Dinggang Shen, Ling Shao:
Inter-modality Dependence Induced Data Recovery for MCI Conversion Prediction. MICCAI (4) 2019: 186-195
[c456]
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Dongming Wei, Sahar Ahmad, Zhengwang Wu, Xiaohuan Cao, Xuhua Ren, Gang Li, Dinggang Shen, Qian Wang:
Morphological Simplification of Brain MR Images by Deep Learning for Facilitating Deformable Registration. MLMI@MICCAI 2019: 203-211
[c455]
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Toan Duc Bui, Li Wang, Jian Chen, Weili Lin, Gang Li, Dinggang Shen:
Multi-task Learning for Neonatal Brain Segmentation Using 3D Dense-Unet with Dense Attention Guided by Geodesic Distance. DART/MIL3ID@MICCAI 2019: 243-251
[c454]
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Deqiang Xiao, Li Wang, Hannah H. Deng, Kim-Han Thung, Jihua Zhu, Peng Yuan, Yriu L. Rodrigues, Leonel Perez Jr., Christopher E. Crecelius, Jaime Gateno, Tiansku Kuang, Steve Guo-Fang Shen, Daeseung Kim, David M. Alfi, Pew-Thian Yap, James J. Xia, Dinggang Shen:
Estimating Reference Bony Shape Model for Personalized Surgical Reconstruction of Posttraumatic Facial Defects. MICCAI (5) 2019: 327-335
[c453]
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  - conf/miccai/ZhangLPS19
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Jing Zhang, Mingxia Liu, Yongsheng Pan, Dinggang Shen:
Unsupervised Conditional Consensus Adversarial Network for Brain Disease Identification with Structural MRI. MLMI@MICCAI 2019: 391-399
[c452]
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Zhenyu Tang, Yuyun Xu, Zhicheng Jiao, Junfeng Lu, Lei Jin, Abudumijiti Aibaidula, Jinsong Wu, Qian Wang, Han Zhang, Dinggang Shen:
Pre-operative Overall Survival Time Prediction for Glioblastoma Patients Using Deep Learning on Both Imaging Phenotype and Genotype. MICCAI (1) 2019: 415-422
[c451]
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Xiaofeng Zhu, Dinggang Shen:
Robust and Discriminative Brain Genome Association Study. MICCAI (4) 2019: 456-464
[c450]
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  - conf/miccai/TaylorWWSZY19
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Hoyt Patrick Taylor IV, Zhengwang Wu, Ye Wu, Dinggang Shen, Han Zhang, Pew-Thian Yap:
Automated Parcellation of the Cortex Using Structural Connectome Harmonics. MICCAI (3) 2019: 475-483
[c449]
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Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Shunren Xia, Dinggang Shen, Gang Li:
Harmonization of Infant Cortical Thickness Using Surface-to-Surface Cycle-Consistent Adversarial Networks. MICCAI (4) 2019: 475-483
[c448]
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Zhengwang Wu, Fenqiang Zhao, Jing Xia, Li Wang, Weili Lin, John H. Gilmore, Gang Li, Dinggang Shen:
Intrinsic Patch-Based Cortical Anatomical Parcellation Using Graph Convolutional Neural Network on Surface Manifold. MICCAI (3) 2019: 492-500
[c447]
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Dongming Wei, Sahar Ahmad, Jiayu Huo, Wen Peng, Yunhao Ge, Zhong Xue, Pew-Thian Yap, Wentao Li, Dinggang Shen, Qian Wang:
Synthesis and Inpainting-Based MR-CT Registration for Image-Guided Thermal Ablation of Liver Tumors. MICCAI (5) 2019: 512-520
[c446]
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Siyuan Liu, Kim-Han Thung, Weili Lin, Pew-Thian Yap, Dinggang Shen:
Multi-stage Image Quality Assessment of Diffusion MRI via Semi-supervised Nonlocal Residual Networks. MICCAI (3) 2019: 521-528
[c445]
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  - conf/miccai/HongCYS19
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Yoonmi Hong, Geng Chen, Pew-Thian Yap, Dinggang Shen:
Reconstructing High-Quality Diffusion MRI Data from Orthogonal Slice-Undersampled Data Using Graph Convolutional Neural Networks. MICCAI (3) 2019: 529-537
[c444]
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Khoi Minh Huynh, Tiantian Xu, Ye Wu, Geng Chen, Kim-Han Thung, Haiyong Wu, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Probing Brain Micro-architecture by Orientation Distribution Invariant Identification of Diffusion Compartments. MICCAI (3) 2019: 547-555
[c443]
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  - conf/miccai/HuynhXWTCLSY19
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Khoi Minh Huynh, Tiantian Xu, Ye Wu, Kim-Han Thung, Geng Chen, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Characterizing Non-Gaussian Diffusion in Heterogeneously Oriented Tissue Microenvironments. MICCAI (3) 2019: 556-563
[c442]
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  - conf/miccai/LouLBZSLS19
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Jingjiao Lou, Dengwang Li, Toan Duc Bui, Fenqiang Zhao, Liang Sun, Gang Li, Dinggang Shen:
Automatic Fetal Brain Extraction Using Multi-stage U-Net with Deep Supervision. MLMI@MICCAI 2019: 592-600
[c441]
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Zhicheng Jiao, Pu Huang, Tae-Eui Kam, Li-Ming Hsu, Ye Wu, Han Zhang, Dinggang Shen:
Dynamic Routing Capsule Networks for Mild Cognitive Impairment Diagnosis. MICCAI (4) 2019: 620-628
[c440]
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  - conf/miccai/ZhouLFWS0S19
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Tao Zhou, Mingxia Liu, Huazhu Fu, Jun Wang, Jianbing Shen, Ling Shao, Dinggang Shen:
Deep Multi-modal Latent Representation Learning for Automated Dementia Diagnosis. MICCAI (4) 2019: 629-638
[c439]
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  - conf/miccai/ZhouZHLPS19
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Zhen Zhou, Han Zhang, Li-Ming Hsu, Weili Lin, Gang Pan, Dinggang Shen:
Multi-layer Temporal Network Analysis Reveals Increasing Temporal Reachability and Spreadability in the First Two Years of Life. MICCAI (3) 2019: 665-672
[c438]
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Guoshi Li, Yujie Liu, Yanting Zheng, Ye Wu, Pew-Thian Yap, Shijun Qiu, Han Zhang, Dinggang Shen:
Identification of Abnormal Circuit Dynamics in Major Depressive Disorder via Multiscale Neural Modeling of Resting-State fMRI. MICCAI (3) 2019: 682-690
[c437]
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Tae-Eui Kam, Xuyun Wen, Bing Jin, Zhicheng Jiao, Li-Ming Hsu, Zhen Zhou, Yujie Liu, Koji Yamashita, Sheng-Che Hung, Weili Lin, Han Zhang, Dinggang Shen:
A Deep Learning Framework for Noise Component Detection from Resting-State Functional MRI. MICCAI (3) 2019: 754-762
[c436]
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  - conf/miccai/QuWYS19
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Liangqiong Qu, Shuai Wang, Pew-Thian Yap, Dinggang Shen:
Wavelet-based Semi-supervised Adversarial Learning for Synthesizing Realistic 7T from 3T MRI. MICCAI (4) 2019: 786-794
[c435]
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Jun Wang, Ying Zhang, Tao Zhou, Zhaohong Deng, Huifang Huang, Shitong Wang, Jun Shi, Dinggang Shen:
Interpretable Feature Learning Using Multi-output Takagi-Sugeno-Kang Fuzzy System for Multi-center ASD Diagnosis. MICCAI (3) 2019: 790-798
[c434]
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  - conf/miccai/AhmadW00LYS19
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Sahar Ahmad, Zhengwang Wu, Gang Li, Li Wang, Weili Lin, Pew-Thian Yap, Dinggang Shen:
Surface-Volume Consistent Construction of Longitudinal Atlases for the Early Developing Brain. MICCAI (2) 2019: 815-822
[c433]
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  - conf/miccai/JiangZHHLWS19
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Weixiong Jiang, Han Zhang, Li-Ming Hsu, Dan Hu, Guoshi Li, Ye Wu, Dinggang Shen:
Early Development of Infant Brain Complex Network. MICCAI (2) 2019: 832-840
[c432]
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  - conf/miccai/LianWWLDKS19
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Chunfeng Lian, Li Wang, Tai-Hsien Wu, Mingxia Liu, Francisca Durán, Ching-Chang Ko, Dinggang Shen:
MeshSNet: Deep Multi-scale Mesh Feature Learning for End-to-End Tooth Labeling on 3D Dental Surfaces. MICCAI (6) 2019: 837-845
[c431]
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Fan Wang, Chunfeng Lian, Zhengwang Wu, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li:
Revealing Developmental Regionalization of Infant Cerebral Cortex Based on Multiple Cortical Properties. MICCAI (2) 2019: 841-849
[c430]
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  - conf/pricai/HeHSGS19
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Kelei He, Jing Huo, Yinghuan Shi, Yang Gao, Dinggang Shen:
MIDCN: A Multiple Instance Deep Convolutional Network for Image Classification. PRICAI (1) 2019: 230-243
[e16]
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  - conf/miccai/2019-1
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Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali R. Khan:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11764, Springer 2019, ISBN 978-3-030-32238-0 [contents]
[e15]
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Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali R. Khan:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11765, Springer 2019, ISBN 978-3-030-32244-1 [contents]
[e14]
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  - conf/miccai/2019-3
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Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali R. Khan:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part III. Lecture Notes in Computer Science 11766, Springer 2019, ISBN 978-3-030-32247-2 [contents]
[e13]
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Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali R. Khan:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part IV. Lecture Notes in Computer Science 11767, Springer 2019, ISBN 978-3-030-32250-2 [contents]
[e12]
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Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali R. Khan:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part V. Lecture Notes in Computer Science 11768, Springer 2019, ISBN 978-3-030-32253-3 [contents]
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Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali R. Khan:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part VI. Lecture Notes in Computer Science 11769, Springer 2019, ISBN 978-3-030-32225-0 [contents]
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  - journals/corr/abs-1901-01377
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Qingbo Yin, Ehsan Adeli, Liran Shen, Dinggang Shen:
Population-Guided Large Margin Classifier for High-Dimension Low -Sample-Size Problems. CoRR abs/1901.01377 (2019)
[i24]
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Dongming Wei, Zhengwang Wu, Gang Li, Xiaohuan Cao, Dinggang Shen, Qian Wang:
Deep Morphological Simplification Network (MS-Net) for Guided Registration of Brain Magnetic Resonance Images. CoRR abs/1902.02342 (2019)
[i23]
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  - journals/corr/abs-1904-00906
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Fenqiang Zhao, Shunren Xia, Zhengwang Wu, Dingna Duan, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li:
Spherical U-Net on Cortical Surfaces: Methods and Applications. CoRR abs/1904.00906 (2019)
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  - journals/corr/abs-1904-03328
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Ye Wu, Yoonmi Hong, Yuanjing Feng, Dinggang Shen, Pew-Thian Yap:
Mitigating Gyral Bias in Cortical Tractography via Asymmetric Fiber Orientation Distributions. CoRR abs/1904.03328 (2019)
[i21]
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Siyuan Liu, Kim-Han Thung, Weili Lin, Pew-Thian Yap, Dinggang Shen:
Real-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal Residual Neural Networks. CoRR abs/1904.03639 (2019)
[i20]
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Qian Zhang, Li Wang, Xiaopeng Zong, Weili Lin, Gang Li, Dinggang Shen:
FRNET: Flattened Residual Network for Infant MRI Skull Stripping. CoRR abs/1904.05578 (2019)
[i19]
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  - journals/corr/abs-1905-08720
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Xuhua Ren, Lichi Zhang, Sahar Ahmad, Dong Nie, Fan Yang, Lei Xiang, Qian Wang, Dinggang Shen:
Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation. CoRR abs/1905.08720 (2019)
[i18]
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  - journals/corr/abs-1906-03051
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Feihong Liu, Jun Feng, Geng Chen, Ye Wu, Yoonmi Hong, Pew-Thian Yap, Dinggang Shen:
DeepBundle: Fiber Bundle Parcellation with Graph Convolution Neural Networks. CoRR abs/1906.03051 (2019)
[i17]
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Dong Nie, Dinggang Shen:
Semantic-guided Encoder Feature Learning for Blurry Boundary Delineation. CoRR abs/1906.04306 (2019)
[i16]
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  - journals/corr/abs-1906-09908
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Zhen Zhou, Xiaobo Chen, Yu Zhang, Lishan Qiao, Renping Yu, Gang Pan, Han Zhang, Dinggang Shen:
Brain Network Construction and Classification Toolbox (BrainNetClass). CoRR abs/1906.09908 (2019)
[i15]
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Xuhua Ren, Lichi Zhang, Qian Wang, Dinggang Shen:
Brain MR Image Segmentation in Small Dataset with Adversarial Defense and Task Reorganization. CoRR abs/1906.10400 (2019)
[i14]
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  - journals/corr/abs-1907-03297
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Dong Nie, Lei Xiang, Qian Wang, Dinggang Shen:
Dual Adversarial Learning with Attention Mechanism for Fine-grained Medical Image Synthesis. CoRR abs/1907.03297 (2019)
[i13]
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Dongming Wei, Sahar Ahmad, Jiayu Huo, Wen Peng, Yunhao Ge, Zhong Xue, Pew-Thian Yap, Wentao Li, Dinggang Shen, Qian Wang:
Synthesis and Inpainting-Based MR-CT Registration for Image-Guided Thermal Ablation of Liver Tumors. CoRR abs/1907.13020 (2019)
[i12]
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  - journals/corr/abs-1908-06307
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Feihong Liu, Jun Feng, Pew-Thian Yap, Dinggang Shen:
Multi-Kernel Filtering: An Extension of Bilateral Filtering Using Image Context. CoRR abs/1908.06307 (2019)
2018
[j232]
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Wenjun Duan, Yuanjie Zheng, Yanhui Ding, Sujuan Hou, Yufang Tang, Yan Xu, Maoling Qin, Jianfeng Wu, Dinggang Shen, Hongsheng Bi:
A Generative Model for OCT Retinal Layer Segmentation by Groupwise Curve Alignment. IEEE Access 6: 25130-25141 (2018)
[j231]
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  - journals/cars/KamiyaLKFSZ18
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Naoki Kamiya, Jing Li, Masanori Kume, Hiroshi Fujita, Dinggang Shen, Guoyan Zheng:
Fully automatic segmentation of paraspinal muscles from 3D torso CT images via multi-scale iterative random forest classifications. Int. J. Comput. Assist. Radiol. Surg. 13(11): 1697-1706 (2018)
[j230]
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Luyan Liu, Qian Wang, Ehsan Adeli, Lichi Zhang, Han Zhang, Dinggang Shen:
Exploring diagnosis and imaging biomarkers of Parkinson's disease via iterative canonical correlation analysis based feature selection. Comput. Medical Imaging Graph. 67: 21-29 (2018)
[j229]
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Yingkun Hou, Dinggang Shen:
Image denoising with morphology- and size-adaptive block-matching transform domain filtering. EURASIP J. Image Video Process. 2018: 59 (2018)
[j228]
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Yueying Zhou, Lishan Qiao, Weikai Li, Limei Zhang, Dinggang Shen:
Simultaneous Estimation of Low- and High-Order Functional Connectivity for Identifying Mild Cognitive Impairment. Frontiers Neuroinformatics 12: 3 (2018)
[j227]
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  - journals/fini/HeXZLNYS18
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Ping He, Xiaohua Xu, Han Zhang, Gang Li, Jingxin Nie, Pew-Thian Yap, Dinggang Shen:
Spatiotemporal Analysis of Developing Brain Networks. Frontiers Neuroinformatics 12: 48 (2018)
[j226]
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Geng Chen, Bin Dong, Yong Zhang, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Angular Upsampling in Infant Diffusion MRI Using Neighborhood Matching in x-q Space. Frontiers Neuroinformatics 12: 57 (2018)
[j225]
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Lishan Qiao, Limei Zhang, Songcan Chen, Dinggang Shen:
Data-driven graph construction and graph learning: A review. Neurocomputing 312: 336-351 (2018)
[j224]
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  - journals/mia/WuGSMJS18
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Zhengwang Wu, Yaozong Gao, Feng Shi, Guangkai Ma, Valerie Jewells, Dinggang Shen:
Segmenting hippocampal subfields from 3T MRI with multi-modality images. Medical Image Anal. 43: 10-22 (2018)
[j223]
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Mingxia Liu, Jun Zhang, Ehsan Adeli, Dinggang Shen:
Landmark-based deep multi-instance learning for brain disease diagnosis. Medical Image Anal. 43: 157-168 (2018)
[j222]
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Zhengwang Wu, Yanrong Guo, Sang Hyun Park, Yaozong Gao, Pei Dong, Seong-Whan Lee, Dinggang Shen:
Robust brain ROI segmentation by deformation regression and deformable shape model. Medical Image Anal. 43: 198-213 (2018)
[j221]
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  - journals/mia/SanromaBPCWSGMB18
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Gerard Sanroma, Oualid M. Benkarim, Gemma Piella, Oscar Camara, Guorong Wu, Dinggang Shen, Juan Domingo Gispert, José Luis Molinuevo, Miguel Ángel González Ballester, Alzheimer's Disease Neuroimaging Initiative:
Learning non-linear patch embeddings with neural networks for label fusion. Medical Image Anal. 44: 143-155 (2018)
[j220]
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Kim-Han Thung, Pew-Thian Yap, Ehsan Adeli, Seong-Whan Lee, Dinggang Shen:
Conversion and time-to-conversion predictions of mild cognitive impairment using low-rank affinity pursuit denoising and matrix completion. Medical Image Anal. 45: 68-82 (2018)
[j219]
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Chunfeng Lian, Jun Zhang, Mingxia Liu, Xiaopeng Zong, Sheng-Che Hung, Weili Lin, Dinggang Shen:
Multi-channel multi-scale fully convolutional network for 3D perivascular spaces segmentation in 7T MR images. Medical Image Anal. 46: 106-117 (2018)
[j218]
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Lei Xiang, Qian Wang, Dong Nie, Lichi Zhang, Xiyao Jin, Yu Qiao, Dinggang Shen:
Deep embedding convolutional neural network for synthesizing CT image from T1-Weighted MR image. Medical Image Anal. 47: 31-44 (2018)
[j217]
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Biao Jie, Mingxia Liu, Dinggang Shen:
Integration of temporal and spatial properties of dynamic connectivity networks for automatic diagnosis of brain disease. Medical Image Anal. 47: 81-94 (2018)
[j216]
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Jing Xia, Fan Wang, Yu Meng, Zhengwang Wu, Li Wang, Weili Lin, Caiming Zhang, Dinggang Shen, Gang Li:
A computational method for longitudinal mapping of orientation-specific expansion of cortical surface in infants. Medical Image Anal. 49: 46-59 (2018)
[j215]
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  - journals/neuroimage/WangYWZLLWZSZ18
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Yan Wang, Biting Yu, Lei Wang, Chen Zu, David S. Lalush, Weili Lin, Xi Wu, Jiliu Zhou, Dinggang Shen, Luping Zhou:
3D conditional generative adversarial networks for high-quality PET image estimation at low dose. NeuroImage 174: 550-562 (2018)
[j214]
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Xiaoqian Wang, Xiantong Zhen, Quanzheng Li, Dinggang Shen, Heng Huang:
Cognitive Assessment Prediction in Alzheimer's Disease by Multi-Layer Multi-Target Regression. Neuroinformatics 16(3-4): 285-294 (2018)
[j213]
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Ruikai Zhang, Yali Zheng, Carmen C. Y. Poon, Dinggang Shen, James Yun Wong Lau:
Polyp detection during colonoscopy using a regression-based convolutional neural network with a tracker. Pattern Recognit. 83: 209-219 (2018)
[j212]
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Dinggang Shen, Li Wang:
Guest Editorial Special Issue on Deep Learning in Medical Imaging. IEEE Trans. Biomed. Eng. 65(9): 1898-1899 (2018)
[j211]
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Xiaohuan Cao, Jianhua Yang, Jun Zhang, Qian Wang, Pew-Thian Yap, Dinggang Shen:
Deformable Image Registration Using a Cue-Aware Deep Regression Network. IEEE Trans. Biomed. Eng. 65(9): 1900-1911 (2018)
[j210]
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Dong Nie, Roger Trullo, Jun Lian, Li Wang, Caroline Petitjean, Su Ruan, Qian Wang, Dinggang Shen:
Medical Image Synthesis with Deep Convolutional Adversarial Networks. IEEE Trans. Biomed. Eng. 65(12): 2720-2730 (2018)
[j209]
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Zhensong Wang, Lifang Wei, Li Wang, Yaozong Gao, Wufan Chen, Dinggang Shen:
Hierarchical Vertex Regression-Based Segmentation of Head and Neck CT Images for Radiotherapy Planning. IEEE Trans. Image Process. 27(2): 923-937 (2018)
[j208]
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Biao Jie, Mingxia Liu, Daoqiang Zhang, Dinggang Shen:
Sub-Network Kernels for Measuring Similarity of Brain Connectivity Networks in Disease Diagnosis. IEEE Trans. Image Process. 27(5): 2340-2353 (2018)
[j207]
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Xiaohuan Cao, Jianhua Yang, Yaozong Gao, Qian Wang, Dinggang Shen:
Region-Adaptive Deformable Registration of CT/MRI Pelvic Images via Learning-Based Image Synthesis. IEEE Trans. Image Process. 27(7): 3500-3512 (2018)
[j206]
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Mingxia Liu, Yue Gao, Pew-Thian Yap, Dinggang Shen:
Multi-Hypergraph Learning for Incomplete Multimodality Data. IEEE J. Biomed. Health Informatics 22(4): 1197-1208 (2018)
[j205]
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Mingxia Liu, Jun Zhang, Dong Nie, Pew-Thian Yap, Dinggang Shen:
Anatomical Landmark Based Deep Feature Representation for MR Images in Brain Disease Diagnosis. IEEE J. Biomed. Health Informatics 22(5): 1476-1485 (2018)
[j204]
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Lei Zhang, Yao Zhao, Zhenfeng Zhu, Dinggang Shen, Shuiwang Ji:
Multi-View Missing Data Completion. IEEE Trans. Knowl. Data Eng. 30(7): 1296-1309 (2018)
[j203]
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  - journals/tmi/ChengSYB18
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Jian Cheng, Dinggang Shen, Pew-Thian Yap, Peter J. Basser:
Single- and Multiple-Shell Uniform Sampling Schemes for Diffusion MRI Using Spherical Codes. IEEE Trans. Medical Imaging 37(1): 185-199 (2018)
[j202]
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Lei Chen, Han Zhang, Junfeng Lu, Kim-Han Thung, Abudumijiti Aibaidula, Luyan Liu, Songcan Chen, Lei Jin, Jinsong Wu, Qian Wang, LiangFu Zhou, Dinggang Shen:
Multi-Label Nonlinear Matrix Completion With Transductive Multi-Task Feature Selection for Joint MGMT and IDH1 Status Prediction of Patient With High-Grade Gliomas. IEEE Trans. Medical Imaging 37(8): 1775-1787 (2018)
[j201]
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Zhenyu Tang, Sahar Ahmad, Pew-Thian Yap, Dinggang Shen:
Multi-Atlas Segmentation of MR Tumor Brain Images Using Low-Rank Based Image Recovery. IEEE Trans. Medical Imaging 37(10): 2224-2235 (2018)
[c429]
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Changqing Zhang, Ehsan Adeli, Tao Zhou, Xiaobo Chen, Dinggang Shen:
Multi-Layer Multi-View Classification for Alzheimer's Disease Diagnosis. AAAI 2018: 4406-4413
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  - conf/bigcomp/ChenTHCWWS18
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Sen Chen, Weijun Tang, Jin Hu, Yawang Cheng, Qian Wang, Xuehai Wu, Dinggang Shen:
Longitudinal Sparse Regression for Neuroimage Based Consciousness Assessing and Tracking of Hydrocephalus Patients. BigComp 2018: 595-598
[c427]
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Xin Li, Fan Yang, Hong Cheng, Wei Liu, Dinggang Shen:
Contour Knowledge Transfer for Salient Object Detection. ECCV (15) 2018: 370-385
[c426]
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Jing Xia, Caiming Zhang, Fan Wang, Yu Meng, Zhengwang Wu, Li Wang, Weili Lin, Dinggang Shen, Gang Li:
A computational method for longitudinal mapping of orientation-specific expansion of cortical surface area in infants. ISBI 2018: 683-686
[c425]
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Jing Xia, Caiming Zhang, Fan Wang, Oualid M. Benkarim, Gerard Sanroma, Gemma Piella, Miguel Ángel González Ballester, Nadine Hahner, Elisenda Eixarch, Dinggang Shen, Gang Li:
Fetal cortical parcellation based on growth patterns. ISBI 2018: 696-699
[c424]
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Fan Wang, Chunfeng Lian, Jing Xia, Zhengwang Wu, Dingna Duan, Li Wang, Dinggang Shen, Gang Li:
Construction of spatiotemporal infant cortical surface atlas of rhesus macaque. ISBI 2018: 704-707
[c423]
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  - conf/isbi/FengNWS18
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Zishun Feng, Dong Nie, Li Wang, Dinggang Shen:
Semi-supervised learning for pelvic MR image segmentation based on multi-task residual fully convolutional networks. ISBI 2018: 885-888
[c422]
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Islem Rekik, Gang Li, Weili Lin, Dinggang Shen:
Estimation of shape and growth brain network atlases for connectomic brain mapping in developing infants. ISBI 2018: 985-989
[c421]
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Changqing Zhang, Ehsan Adeli, Zhengwang Wu, Gang Li, Weili Lin, Dinggang Shen:
Infant brain development prediction with latent partial multi-view representation learning. ISBI 2018: 1048-1051
[c420]
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Zhengwang Wu, Gang Li, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen:
Construction of spatiotemporal neonatal cortical surface atlases using a large-scale dataset. ISBI 2018: 1056-1059
[c419]
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  - conf/kdd/CaiWGSJ18
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Lei Cai, Zhengyang Wang, Hongyang Gao, Dinggang Shen, Shuiwang Ji:
Deep Adversarial Learning for Multi-Modality Missing Data Completion. KDD 2018: 1158-1166
[c418]
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Yongjun Chen, Hongyang Gao, Lei Cai, Min Shi, Dinggang Shen, Shuiwang Ji:
Voxel Deconvolutional Networks for 3D Brain Image Labeling. KDD 2018: 1226-1234
[c417]
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Biao Jie, Mingxia Liu, Chunfeng Lian, Feng Shi, Dinggang Shen:
Developing Novel Weighted Correlation Kernels for Convolutional Neural Networks to Extract Hierarchical Functional Connectivities from fMRI for Disease Diagnosis. MLMI@MICCAI 2018: 1-9
[c416]
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Ye Wu, Yuanjing Feng, Dinggang Shen, Pew-Thian Yap:
Penalized Geodesic Tractography for Mitigating Gyral Bias. MICCAI (3) 2018: 12-19
[c415]
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Euijin Jung, Xiaopeng Zong, Weili Lin, Dinggang Shen, Sanghyun Park:
Enhancement of Perivascular Spaces Using a Very Deep 3D Dense Network. PRIME@MICCAI 2018: 18-25
[c414]
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Ye Wu, Yuanjing Feng, Dinggang Shen, Pew-Thian Yap:
A Multi-Tissue Global Estimation Framework for Asymmetric Fiber Orientation Distributions. MICCAI (3) 2018: 45-52
[c413]
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  - conf/miccai/ThungYS18
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Kim-Han Thung, Pew-Thian Yap, Dinggang Shen:
Joint Robust Imputation and Classification for Early Dementia Detection Using Incomplete Multi-modality Data. PRIME@MICCAI 2018: 51-59
[c412]
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Xiaohuan Cao, Jianhuan Yang, Li Wang, Zhong Xue, Qian Wang, Dinggang Shen:
Deep Learning Based Inter-modality Image Registration Supervised by Intra-modality Similarity. MLMI@MICCAI 2018: 55-63
[c411]
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  - conf/miccai/ZhouTLSZS18
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Tao Zhou, Kim-Han Thung, Mingxia Liu, Feng Shi, Changqing Zhang, Dinggang Shen:
Multi-modal Neuroimaging Data Fusion via Latent Space Learning for Alzheimer's Disease Diagnosis. PRIME@MICCAI 2018: 76-84
[c410]
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  - conf/miccai/SunZWSCLSL18
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Liang Sun, Daoqiang Zhang, Li Wang, Wei Shao, Zengsi Chen, Weili Lin, Dinggang Shen, Gang Li:
Topological Correction of Infant Cortical Surfaces Using Anatomically Constrained U-Net. MLMI@MICCAI 2018: 125-133
[c409]
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  - conf/miccai/ZhangSMYLS18
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Han Zhang, Natalie Stanley, Peter J. Mucha, Weiyan Yin, Weili Lin, Dinggang Shen:
Multi-layer Large-Scale Functional Connectome Reveals Infant Brain Developmental Patterns. MICCAI (3) 2018: 136-144
[c408]
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Lei Xiang, Yang Li, Weili Lin, Qian Wang, Dinggang Shen:
Unpaired Deep Cross-Modality Synthesis with Fast Training. DLMIA/ML-CDS@MICCAI 2018: 155-164
[c407]
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Lei Xiang, Yong Chen, Weitang Chang, Yiqiang Zhan, Weili Lin, Qian Wang, Dinggang Shen:
Ultra-Fast T2-Weighted MR Reconstruction Using Complementary T1-Weighted Information. MICCAI (1) 2018: 215-223
[c406]
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Jiawei Chen, Han Zhang, Dong Nie, Li Wang, Gang Li, Weili Lin, Dinggang Shen:
Automatic Accurate Infant Cerebellar Tissue Segmentation with Densely Connected Convolutional Network. MLMI@MICCAI 2018: 233-240
[c405]
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Weizheng Yan, Han Zhang, Jing Sui, Dinggang Shen:
Deep Chronnectome Learning via Full Bidirectional Long Short-Term Memory Networks for MCI Diagnosis. MICCAI (3) 2018: 249-257
[c404]
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Tae-Eui Kam, Han Zhang, Dinggang Shen:
A Novel Deep Learning Framework on Brain Functional Networks for Early MCI Diagnosis. MICCAI (3) 2018: 293-301
[c403]
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  - conf/miccai/LiLSSW18
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Guannan Li, Mingxia Liu, Quan-Sen Sun, Dinggang Shen, Li Wang:
Early Diagnosis of Autism Disease by Multi-channel CNNs. MLMI@MICCAI 2018: 303-309
[c402]
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Yan Wang, Luping Zhou, Lei Wang, Biting Yu, Chen Zu, David S. Lalush, Weili Lin, Xi Wu, Jiliu Zhou, Dinggang Shen:
Locality Adaptive Multi-modality GANs for High-Quality PET Image Synthesis. MICCAI (1) 2018: 329-337
[c401]
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  - conf/miccai/NieGWS18
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Dong Nie, Yaozong Gao, Li Wang, Dinggang Shen:
ASDNet: Attention Based Semi-supervised Deep Networks for Medical Image Segmentation. MICCAI (4) 2018: 370-378
[c400]
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Zhenghan Fang, Yong Chen, Mingxia Liu, Yiqiang Zhan, Weili Lin, Dinggang Shen:
Deep Learning for Fast and Spatially-Constrained Tissue Quantification from Highly-Undersampled Data in Magnetic Resonance Fingerprinting (MRF). MLMI@MICCAI 2018: 398-405
[c399]
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Yongqin Zhang, Jie-Zhi Cheng, Lei Xiang, Pew-Thian Yap, Dinggang Shen:
Dual-Domain Cascaded Regression for Synthesizing 7T from 3T MRI. MICCAI (1) 2018: 410-417
[c398]
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Li Wang, Gang Li, Feng Shi, Xiaohuan Cao, Chunfeng Lian, Dong Nie, Mingxia Liu, Han Zhang, Guannan Li, Zhengwang Wu, Weili Lin, Dinggang Shen:
Volume-Based Analysis of 6-Month-Old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis. MICCAI (3) 2018: 411-419
[c397]
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Xiaoqian Wang, Weidong Cai, Dinggang Shen, Heng Huang:
Temporal Correlation Structure Learning for MCI Conversion Prediction. MICCAI (3) 2018: 446-454
[c396]
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  - conf/miccai/PanLLZXS18
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Yongsheng Pan, Mingxia Liu, Chunfeng Lian, Tao Zhou, Yong Xia, Dinggang Shen:
Synthesizing Missing PET from MRI with Cycle-consistent Generative Adversarial Networks for Alzheimer's Disease Diagnosis. MICCAI (3) 2018: 455-463
[c395]
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Sihang Zhou, Dong Nie, Ehsan Adeli, Yaozong Gao, Li Wang, Jianping Yin, Dinggang Shen:
Fine-Grained Segmentation Using Hierarchical Dilated Neural Networks. MICCAI (4) 2018: 488-496
[c394]
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Islem Rekik, Gang Li, Weili Lin, Dinggang Shen:
Do Baby Brain Cortices that Look Alike at Birth Grow Alike During the First Year of Postnatal Development? MICCAI (3) 2018: 566-574
[c393]
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Oualid M. Benkarim, Gerard Sanroma, Gemma Piella, Islem Rekik, Nadine Hahner, Elisenda Eixarch, Miguel Ángel González Ballester, Dinggang Shen, Gang Li:
Revealing Regional Associations of Cortical Folding Alterations with In Utero Ventricular Dilation Using Joint Spectral Embedding. MICCAI (3) 2018: 620-627
[c392]
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Na Wang, Cheng Bian, Yi Wang, Min Xu, Chenchen Qin, Xin Yang, Tianfu Wang, Anhua Li, Dinggang Shen, Dong Ni:
Densely Deep Supervised Networks with Threshold Loss for Cancer Detection in Automated Breast Ultrasound. MICCAI (4) 2018: 641-648
[c391]
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Mingliang Wang, Daoqiang Zhang, Jiashuang Huang, Dinggang Shen, Mingxia Liu:
Low-Rank Representation for Multi-center Autism Spectrum Disorder Identification. MICCAI (1) 2018: 647-654
[c390]
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Zhengwang Wu, Gang Li, Li Wang, Feng Shi, Weili Lin, John H. Gilmore, Dinggang Shen:
Registration-Free Infant Cortical Surface Parcellation Using Deep Convolutional Neural Networks. MICCAI (3) 2018: 672-680
[c389]
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Miaoyun Zhao, Li Wang, Jiawei Chen, Dong Nie, Yulai Cong, Sahar Ahmad, Angela Ho, Peng Yuan, Steve H. Fung, Hannah H. Deng, James J. Xia, Dinggang Shen:
Craniomaxillofacial Bony Structures Segmentation from MRI with Deep-Supervision Adversarial Learning. MICCAI (4) 2018: 720-727
[c388]
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  - conf/miccai/FanCXYS18
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Jingfan Fan, Xiaohuan Cao, Zhong Xue, Pew-Thian Yap, Dinggang Shen:
Adversarial Similarity Network for Evaluating Image Alignment in Deep Learning Based Registration. MICCAI (1) 2018: 739-746
[c387]
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Pei Dong, Xiaohuan Cao, Pew-Thian Yap, Dinggang Shen:
Efficient Groupwise Registration of MR Brain Images via Hierarchical Graph Set Shrinkage. MICCAI (1) 2018: 819-826
[c386]
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Zhouyuan Huo, Dinggang Shen, Heng Huang:
Genotype-Phenotype association study via new multi-task learning model. PSB 2018: 353-364
[c385]
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  - conf/sspr/ZhangZRGWS18
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Lichi Zhang, Han Zhang, Islem Rekik, Yaozong Gao, Qian Wang, Dinggang Shen:
Malignant Brain Tumor Classification Using the Random Forest Method. S+SSPR 2018: 14-21
[i11]
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  - journals/corr/abs-1802-04692
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Jingfan Fan, Xiaohuan Cao, Pew-Thian Yap, Dinggang Shen:
BIRNet: Brain Image Registration Using Dual-Supervised Fully Convolutional Networks. CoRR abs/1802.04692 (2018)
[i10]
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  - journals/corr/abs-1804-10481
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Jinquan Sun, Yinghuan Shi, Yang Gao, Lei Wang, Luping Zhou, Wanqi Yang, Dinggang Shen:
Interactive Medical Image Segmentation via Point-Based Interaction and Sequential Patch Learning. CoRR abs/1804.10481 (2018)
[i9]
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  - journals/corr/abs-1804-10735
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Xiaohuan Cao, Jianhua Yang, Li Wang, Zhong Xue, Qian Wang, Dinggang Shen:
Deep Learning based Inter-Modality Image Registration Supervised by Intra-Modality Similarity. CoRR abs/1804.10735 (2018)
[i8]
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  - journals/corr/abs-1808-10383
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Weizheng Yan, Han Zhang, Jing Sui, Dinggang Shen:
Deep Chronnectome Learning via Full Bidirectional Long Short-Term Memory Networks for MCI Diagnosis. CoRR abs/1808.10383 (2018)
[i7]
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  - journals/corr/abs-1812-04103
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Zhengyang Wang, Na Zou, Dinggang Shen, Shuiwang Ji:
Global Deep Learning Methods for Multimodality Isointense Infant Brain Image Segmentation. CoRR abs/1812.04103 (2018)
2017
[j200]
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Weikai Li, Zhengxia Wang, Limei Zhang, Lishan Qiao, Dinggang Shen:
Remodeling Pearson's Correlation for Functional Brain Network Estimation and Autism Spectrum Disorder Identification. Frontiers Neuroinformatics 11: 55 (2017)
[j199]
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Lichi Zhang, Qian Wang, Yaozong Gao, Hongxin Li, Guorong Wu, Dinggang Shen:
Concatenated spatially-localized random forests for hippocampus labeling in adult and infant MR brain images. Neurocomputing 229: 3-12 (2017)
[j198]
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Pei Dong, Li Wang, Weili Lin, Dinggang Shen, Guorong Wu:
Scalable joint segmentation and registration framework for infant brain images. Neurocomputing 229: 54-62 (2017)
[j197]
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  - journals/ijon/XiangQNALWS17
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Lei Xiang, Yu Qiao, Dong Nie, Le An, Weili Lin, Qian Wang, Dinggang Shen:
Deep auto-context convolutional neural networks for standard-dose PET image estimation from low-dose PET/MRI. Neurocomputing 267: 406-416 (2017)
[j196]
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Islem Rekik, Gang Li, Weili Lin, Dinggang Shen:
Erratum to "Predicting Infant Cortical Surface Development Using a 4D Varifold-based Learning Framework and Local Topography-based Shape Morphing" [Med. Image Anal. 28 (2016)1-12]. Medical Image Anal. 36: 1 (2017)
[j195]
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Mingxia Liu, Jun Zhang, Pew-Thian Yap, Dinggang Shen:
View-aligned hypergraph learning for Alzheimer's disease diagnosis with incomplete multi-modality data. Medical Image Anal. 36: 123-134 (2017)
[j194]
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Yantao Song, Guorong Wu, Khosro Bahrami, Quan-Sen Sun, Dinggang Shen:
Progressive multi-atlas label fusion by dictionary evolution. Medical Image Anal. 36: 162-171 (2017)
[j193]
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Heung-Il Suk, Seong-Whan Lee, Dinggang Shen:
Deep ensemble learning of sparse regression models for brain disease diagnosis. Medical Image Anal. 37: 101-113 (2017)
[j192]
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Xiaofeng Zhu, Heung-Il Suk, Li Wang, Seong-Whan Lee, Dinggang Shen:
A novel relational regularization feature selection method for joint regression and classification in AD diagnosis. Medical Image Anal. 38: 205-214 (2017)
[j191]
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Xiaohuan Cao, Jianhua Yang, Yaozong Gao, Yanrong Guo, Guorong Wu, Dinggang Shen:
Dual-core steered non-rigid registration for multi-modal images via bi-directional image synthesis. Medical Image Anal. 41: 18-31 (2017)
[j190]
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Hanbo Chen, Yujie Li, Fangfei Ge, Gang Li, Dinggang Shen, Tianming Liu:
Gyral net: A new representation of cortical folding organization. Medical Image Anal. 42: 14-25 (2017)
[j189]
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  - journals/neuroimage/Rekik0YCLS17
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Islem Rekik, Gang Li, Pew-Thian Yap, Geng Chen, Weili Lin, Dinggang Shen:
Joint prediction of longitudinal development of cortical surfaces and white matter fibers from neonatal MRI. NeuroImage 152: 411-424 (2017)
[j188]
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Bo Cheng, Mingxia Liu, Dinggang Shen, Zuoyong Li, Daoqiang Zhang:
Multi-Domain Transfer Learning for Early Diagnosis of Alzheimer's Disease. Neuroinformatics 15(2): 115-132 (2017)
[j187]
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Xiaobo Chen, Han Zhang, Seong-Whan Lee, Dinggang Shen:
Hierarchical High-Order Functional Connectivity Networks and Selective Feature Fusion for MCI Classification. Neuroinformatics 15(3): 271-284 (2017)
[j186]
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Chen Zu, Zhengxia Wang, Daoqiang Zhang, Peipeng Liang, Yonghong Shi, Dinggang Shen, Guorong Wu:
Robust multi-atlas label propagation by deep sparse representation. Pattern Recognit. 63: 511-517 (2017)
[j185]
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Jinpeng Zhang, Lichi Zhang, Lei Xiang, Yeqin Shao, Guorong Wu, Xiaodong Zhou, Dinggang Shen, Qian Wang:
Brain atlas fusion from high-thickness diagnostic magnetic resonance images by learning-based super-resolution. Pattern Recognit. 63: 531-541 (2017)
[j184]
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Dong Ni, Xing Ji, Min Wu, Wenlei Wang, Xiaoshuang Deng, Zhongyi Hu, Tianfu Wang, Dinggang Shen, Jie-Zhi Cheng, Huifang Wang:
Automatic cystocele severity grading in transperineal ultrasound by random forest regression. Pattern Recognit. 63: 551-560 (2017)
[j183]
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Xiaofeng Zhu, Heung-Il Suk, Heng Huang, Dinggang Shen:
Low-Rank Graph-Regularized Structured Sparse Regression for Identifying Genetic Biomarkers. IEEE Trans. Big Data 3(4): 405-414 (2017)
[j182]
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Biao Jie, Mingxia Liu, Jun Liu, Daoqiang Zhang, Dinggang Shen:
Temporally Constrained Group Sparse Learning for Longitudinal Data Analysis in Alzheimer's Disease. IEEE Trans. Biomed. Eng. 64(1): 238-249 (2017)
[j181]
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Guorong Wu, Minjeong Kim, Qian Wang, Brent C. Munsell, Dinggang Shen:
Correction to "Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning". IEEE Trans. Biomed. Eng. 64(1): 250 (2017)
[j180]
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Yan Wang, Guangkai Ma, Le An, Feng Shi, Pei Zhang, David S. Lalush, Xi Wu, Yi-Fei Pu, Jiliu Zhou, Dinggang Shen:
Semisupervised Tripled Dictionary Learning for Standard-Dose PET Image Prediction Using Low-Dose PET and Multimodal MRI. IEEE Trans. Biomed. Eng. 64(3): 569-579 (2017)
[j179]
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Jun Zhang, Yaozong Gao, Sang Hyun Park, Xiaopeng Zong, Weili Lin, Dinggang Shen:
Structured Learning for 3-D Perivascular Space Segmentation Using Vascular Features. IEEE Trans. Biomed. Eng. 64(12): 2803-2812 (2017)
[j178]
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Jun Zhang, Mingxia Liu, Dinggang Shen:
Detecting Anatomical Landmarks From Limited Medical Imaging Data Using Two-Stage Task-Oriented Deep Neural Networks. IEEE Trans. Image Process. 26(10): 4753-4764 (2017)
[j177]
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Jun Zhang, Mingxia Liu, Le An, Yaozong Gao, Dinggang Shen:
Alzheimer's Disease Diagnosis Using Landmark-Based Features From Longitudinal Structural MR Images. IEEE J. Biomed. Health Informatics 21(6): 1607-1616 (2017)
[c384]
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Yinghuan Shi, Wenbin Li, Yang Gao, Longbing Cao, Dinggang Shen:
Beyond IID: Learning to Combine Non-IID Metrics for Vision Tasks. AAAI 2017: 1524-1531
[c383]
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Xiaobo Chen, Han Zhang, Yu Zhang, Zuoyong Li, Dinggang Shen:
Learning Pairwise-Similarity Guided Sparse Functional Connectivity Network for MCI Classification. ACPR 2017: 917-922
[c382]
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  - conf/icsipa/TrulloPNSR17
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Roger Trullo, Caroline Petitjean, Dong Nie, Dinggang Shen, Su Ruan:
Fully automated esophagus segmentation with a hierarchical deep learning approach. ICSIPA 2017: 503-506
[c381]
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Jie Xu, Cheng Deng, Xinbo Gao, Dinggang Shen, Heng Huang:
Predicting Alzheimer's Disease Cognitive Assessment via Robust Low-Rank Structured Sparse Model. IJCAI 2017: 3880-3886
[c380]
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Islem Rekik, Gang Li, Weili Lin, Dinggang Shen:
Estimation of Brain Network Atlases Using Diffusive-Shrinking Graphs: Application to Developing Brains. IPMI 2017: 385-397
[c379]
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  - conf/isbi/DuanRXLGSL17
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Dingna Duan, Islem Rekik, Shunren Xia, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li:
Longitudinal multi-scale mapping of infant cortical folding using spherical wavelets. ISBI 2017: 93-96
[c378]
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Yu Zhao, Shu Zhang, Hanbo Chen, Wei Zhang, Jinglei Lv, Xi Jiang, Dinggang Shen, Tianming Liu:
A novel framework for groupwise registration of fMRI images based on common functional networks. ISBI 2017: 485-489
[c377]
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Roger Trullo, Caroline Petitjean, Su Ruan, Bernard Dubray, Dong Nie, Dinggang Shen:
Segmentation of Organs at Risk in thoracic CT images using a SharpMask architecture and Conditional Random Fields. ISBI 2017: 1003-1006
[c376]
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Mingxia Liu, Jun Zhang, Ehsan Adeli, Dinggang Shen:
Deep Multi-task Multi-channel Learning for Joint Classification and Regression of Brain Status. MICCAI (3) 2017: 3-11
[c375]
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Yu Zhang, Han Zhang, Xiaobo Chen, Dinggang Shen:
Constructing Multi-frequency High-Order Functional Connectivity Network for Diagnosis of Mild Cognitive Impairment. CNI@MICCAI 2017: 9-16
[c374]
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Dingna Duan, Shunren Xia, Yu Meng, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li:
Exploring Gyral Patterns of Infant Cortical Folding Based on Multi-view Curvature Information. MICCAI (1) 2017: 12-20
[c373]
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Longwei Fang, Lichi Zhang, Dong Nie, Xiaohuan Cao, Khosro Bahrami, Huiguang He, Dinggang Shen:
Brain Image Labeling Using Multi-atlas Guided 3D Fully Convolutional Networks. Patch-MI@MICCAI 2017: 12-19
[c372]
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Xiuyi Jia, Han Zhang, Ehsan Adeli, Dinggang Shen:
Consciousness Level and Recovery Outcome Prediction Using High-Order Brain Functional Connectivity Network. CNI@MICCAI 2017: 17-24
[c371]
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Roger Trullo, Caroline Petitjean, Dong Nie, Dinggang Shen, Su Ruan:
Joint Segmentation of Multiple Thoracic Organs in CT Images with Two Collaborative Deep Architectures. DLMIA/ML-CDS@MICCAI 2017: 21-29
[c370]
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Ehsan Adeli, Yu Meng, Gang Li, Weili Lin, Dinggang Shen:
Joint Sparse and Low-Rank Regularized Multi-Task Multi-Linear Regression for Prediction of Infant Brain Development with Incomplete Data. MICCAI (1) 2017: 40-48
[c369]
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Jaeil Kim, Geng Chen, Weili Lin, Pew-Thian Yap, Dinggang Shen:
Graph-Constrained Sparse Construction of Longitudinal Diffusion-Weighted Infant Atlases. MICCAI (1) 2017: 49-56
[c368]
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Zhengwang Wu, Gang Li, Yu Meng, Li Wang, Weili Lin, Dinggang Shen:
4D Infant Cortical Surface Atlas Construction Using Spherical Patch-Based Sparse Representation. MICCAI (1) 2017: 57-65
[c367]
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Lichi Zhang, Han Zhang, Xiaobo Chen, Qian Wang, Pew-Thian Yap, Dinggang Shen:
Learning-Based Estimation of Functional Correlation Tensors in White Matter for Early Diagnosis of Mild Cognitive Impairment. Patch-MI@MICCAI 2017: 65-73
[c366]
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Gang Li, Li Wang, Weili Lin, Dinggang Shen:
Developmental Patterns Based Individualized Parcellation of Infant Cortical Surface. MICCAI (1) 2017: 66-74
[c365]
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Xiaofeng Zhu, Kim-Han Thung, Ehsan Adeli, Yu Zhang, Dinggang Shen:
Maximum Mean Discrepancy Based Multiple Kernel Learning for Incomplete Multimodality Neuroimaging Data. MICCAI (3) 2017: 72-80
[c364]
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Han Zhang, Weiyan Yin, Weili Lin, Dinggang Shen:
Early Brain Functional Segregation and Integration Predict Later Cognitive Performance. CNI@MICCAI 2017: 116-124
[c363]
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Tao Zhou, Kim-Han Thung, Xiaofeng Zhu, Dinggang Shen:
Feature Learning and Fusion of Multimodality Neuroimaging and Genetic Data for Multi-status Dementia Diagnosis. MLMI@MICCAI 2017: 132-140
[c362]
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Pei Dong, Xiaohuan Cao, Jun Zhang, Minjeong Kim, Guorong Wu, Dinggang Shen:
Efficient Groupwise Registration for Brain MRI by Fast Initialization. MLMI@MICCAI 2017: 150-158
[c361]
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  - conf/miccai/WangWWS17
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Jun Wang, Qian Wang, Shitong Wang, Dinggang Shen:
Sparse Multi-view Task-Centralized Learning for ASD Diagnosis. MLMI@MICCAI 2017: 159-167
[c360]
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Kim-Han Thung, Pew-Thian Yap, Dinggang Shen:
Multi-stage Diagnosis of Alzheimer's Disease with Incomplete Multimodal Data via Multi-task Deep Learning. DLMIA/ML-CDS@MICCAI 2017: 160-168
[c359]
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Yu Zhang, Han Zhang, Xiaobo Chen, Mingxia Liu, Xiaofeng Zhu, Dinggang Shen:
Inter-subject Similarity Guided Brain Network Modeling for MCI Diagnosis. MLMI@MICCAI 2017: 168-175
[c358]
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  - conf/miccai/YanMLLZS17
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Junyi Yan, Yu Meng, Gang Li, Weili Lin, Dazhe Zhao, Dinggang Shen:
Longitudinally-Consistent Parcellation of Infant Population Cortical Surfaces Based on Functional Connectivity. MLMI@MICCAI 2017: 194-202
[c357]
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Jinquan Sun, Yinghuan Shi, Yang Gao, Dinggang Shen:
A Point Says a Lot: An Interactive Segmentation Method for MR Prostate via One-Point Labeling. MLMI@MICCAI 2017: 220-228
[c356]
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Dong Nie, Li Wang, Roger Trullo, Jianfu Li, Peng Yuan, James J. Xia, Dinggang Shen:
Segmentation of Craniomaxillofacial Bony Structures from MRI with a 3D Deep-Learning Based Cascade Framework. MLMI@MICCAI 2017: 266-273
[c355]
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Yang Li, Jingyu Liu, Mei-Lin Luo, Ke Li, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen:
Structural Connectivity Guided Sparse Effective Connectivity for MCI Identification. MLMI@MICCAI 2017: 299-306
[c354]
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Xiaohuan Cao, Jianhua Yang, Jun Zhang, Dong Nie, Minjeong Kim, Qian Wang, Dinggang Shen:
Deformable Image Registration Based on Similarity-Steered CNN Regression. MICCAI (1) 2017: 300-308
[c353]
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  - conf/miccai/LiLLYKWS17
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Yang Li, Jingyu Liu, Ke Li, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen:
Fusion of High-Order and Low-Order Effective Connectivity Networks for MCI Classification. MLMI@MICCAI 2017: 307-315
[c352]
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Yang Li, Hao Yang, Ke Li, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen:
Novel Effective Connectivity Network Inference for MCI Identification. MLMI@MICCAI 2017: 316-324
[c351]
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Yujia Zhou, Pew-Thian Yap, Han Zhang, Lichi Zhang, Qianjin Feng, Dinggang Shen:
Improving Functional MRI Registration Using Whole-Brain Functional Correlation Tensors. MICCAI (1) 2017: 416-423
[c350]
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  - conf/miccai/NieTLPRWS17
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Dong Nie, Roger Trullo, Jun Lian, Caroline Petitjean, Su Ruan, Qian Wang, Dinggang Shen:
Medical Image Synthesis with Context-Aware Generative Adversarial Networks. MICCAI (3) 2017: 417-425
[c349]
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Yang Li, Xinqiang Gao, Biao Jie, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen:
Multimodal Hyper-connectivity Networks for MCI Classification. MICCAI (1) 2017: 433-441
[c348]
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Lei Chen, Han Zhang, Kim-Han Thung, Luyan Liu, Junfeng Lu, Jinsong Wu, Qian Wang, Dinggang Shen:
Multi-label Inductive Matrix Completion for Joint MGMT and IDH1 Status Prediction for Glioma Patients. MICCAI (2) 2017: 450-458
[c347]
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Geng Chen, Bin Dong, Yong Zhang, Dinggang Shen, Pew-Thian Yap:
q-Space Upsampling Using x-q Space Regularization. MICCAI (1) 2017: 620-628
[c346]
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Geng Chen, Bin Dong, Yong Zhang, Dinggang Shen, Pew-Thian Yap:
Neighborhood Matching for Curved Domains with Application to Denoising in Diffusion MRI. MICCAI (1) 2017: 629-637
[c345]
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Yinghuan Shi, Wanqi Yang, Yang Gao, Dinggang Shen:
Does Manual Delineation only Provide the Side Information in CT Prostate Segmentation? MICCAI (3) 2017: 692-700
[c344]
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Jun Zhang, Mingxia Liu, Li Wang, Si Chen, Peng Yuan, Jianfu Li, Steve Guo-Fang Shen, Zhen Tang, Ken-Chung Chen, James J. Xia, Dinggang Shen:
Joint Craniomaxillofacial Bone Segmentation and Landmark Digitization by Context-Guided Fully Convolutional Networks. MICCAI (2) 2017: 720-728
[c343]
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Khosro Bahrami, Islem Rekik, Feng Shi, Dinggang Shen:
Joint Reconstruction and Segmentation of 7T-like MR Images from 3T MRI Based on Cascaded Convolutional Neural Networks. MICCAI (1) 2017: 764-772
[c342]
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Xiaoqian Wang, Hong Chen, Weidong Cai, Dinggang Shen, Heng Huang:
Regularized Modal Regression with Applications in Cognitive Impairment Prediction. NIPS 2017: 1448-1458
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  - books/el/17/GuoGS17
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Yanrong Guo, Yaozong Gao, Dinggang Shen:
Deformable MR Prostate Segmentation via Deep Feature Learning and Sparse Patch Matching. Deep Learning for Medical Image Analysis 2017: 197-222
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Shaoyu Wang, Minjeong Kim, Guorong Wu, Dinggang Shen:
Scalable High Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning. Deep Learning for Medical Image Analysis 2017: 245-269
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Shaohua Kevin Zhou, Hayit Greenspan, Dinggang Shen:
Deep Learning for Medical Image Analysis, 1st Edition. Academic Press 2017, ISBN 978-0-12-810408-8 [contents]
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Marc Niethammer, Martin Styner, Stephen R. Aylward, Hongtu Zhu, Ipek Oguz, Pew-Thian Yap, Dinggang Shen:
Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings. Lecture Notes in Computer Science 10265, Springer 2017, ISBN 978-3-319-59049-3 [contents]
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Jian Cheng, Dinggang Shen, Pew-Thian Yap, Peter J. Basser:
Single- and Multiple-Shell Uniform Sampling Schemes for Diffusion MRI Using Spherical Codes. CoRR abs/1706.06682 (2017)
[i5]
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Lei Xiang, Qian Wang, Dong Nie, Yu Qiao, Dinggang Shen:
Deep Embedding Convolutional Neural Network for Synthesizing CT Image from T1-Weighted MR Image. CoRR abs/1709.02073 (2017)
[i4]
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  - journals/corr/abs-1712-05319
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Jose Dolz, Christian Desrosiers, Li Wang, Jing Yuan, Dinggang Shen, Ismail Ben Ayed:
Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation. CoRR abs/1712.05319 (2017)
2016
[j176]
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Pei Zhang, Guorong Wu, Yaozong Gao, Pew-Thian Yap, Dinggang Shen:
A dynamic tree-based registration could handle possible large deformations among MR brain images. Comput. Medical Imaging Graph. 52: 1-7 (2016)
[j175]
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Chunjun Qian, Li Wang, Yaozong Gao, Ambereen Yousuf, Xiaoping Yang, Aytekin Oto, Dinggang Shen:
In vivo MRI based prostate cancer localization with random forests and auto-context model. Comput. Medical Imaging Graph. 52: 44-57 (2016)
[j174]
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Haiyong Wu, Geng Chen, Yan Jin, Dinggang Shen, Pew-Thian Yap:
Embarrassingly Parallel Acceleration of Global Tractography via Dynamic Domain Partitioning. Frontiers Neuroinformatics 10: 25 (2016)
[j173]
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Yinghuan Shi, Yaozong Gao, Shu Liao, Daoqiang Zhang, Yang Gao, Dinggang Shen:
A learning-based CT prostate segmentation method via joint transductive feature selection and regression. Neurocomputing 173: 317-331 (2016)
[j172]
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Geng Chen, Pei Zhang, Yafeng Wu, Dinggang Shen, Pew-Thian Yap:
Denoising magnetic resonance images using collaborative non-local means. Neurocomputing 177: 215-227 (2016)
[j171]
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Islem Rekik, Gang Li, Weili Lin, Dinggang Shen:
Predicting infant cortical surface development using a 4D varifold-based learning framework and local topography-based shape morphing. Medical Image Anal. 28: 1-12 (2016)
[j170]
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Biao Jie, Chong-Yaw Wee, Dinggang Shen, Daoqiang Zhang:
Hyper-connectivity of functional networks for brain disease diagnosis. Medical Image Anal. 32: 84-100 (2016)
[j169]
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  - journals/neuroimage/ZongPSL16
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Xiaopeng Zong, Sang Hyun Park, Dinggang Shen, Weili Lin:
Visualization of perivascular spaces in the human brain at 7 T: sequence optimization and morphology characterization. NeuroImage 125: 895-902 (2016)
[j168]
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Heung-Il Suk, Chong-Yaw Wee, Seong-Whan Lee, Dinggang Shen:
State-space model with deep learning for functional dynamics estimation in resting-state fMRI. NeuroImage 129: 292-307 (2016)
[j167]
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  - journals/neuroimage/ParkZGLS16
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Sang Hyun Park, Xiaopeng Zong, Yaozong Gao, Weili Lin, Dinggang Shen:
Segmentation of perivascular spaces in 7 T MR image using auto-context model with orientation-normalized features. NeuroImage 134: 223-235 (2016)
[j166]
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Islem Rekik, Gang Li, Weili Lin, Dinggang Shen:
Multidirectional and Topography-based Dynamic-scale Varifold Representations with Application to Matching Developing Cortical Surfaces. NeuroImage 135: 152-162 (2016)
[j165]
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Ehsan Adeli, Feng Shi, Le An, Chong-Yaw Wee, Guorong Wu, Tao Wang, Dinggang Shen:
Joint feature-sample selection and robust diagnosis of Parkinson's disease from MRI data. NeuroImage 141: 206-219 (2016)
[j164]
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Lishan Qiao, Han Zhang, Minjeong Kim, Shenghua Teng, Limei Zhang, Dinggang Shen:
Estimating functional brain networks by incorporating a modularity prior. NeuroImage 141: 399-407 (2016)
[j163]
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Luping Zhou, Lei Wang, Lingqiao Liu, Philip Ogunbona, Dinggang Shen:
Learning Discriminative Bayesian Networks from High-Dimensional Continuous Neuroimaging Data. IEEE Trans. Pattern Anal. Mach. Intell. 38(11): 2269-2283 (2016)
[j162]
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Guanhua Chen, Yufeng Liu, Dinggang Shen, Michael R. Kosorok:
Composite large margin classifiers with latent subclasses for heterogeneous biomedical data. Stat. Anal. Data Min. 9(2): 75-88 (2016)
[j161]
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Xiaofeng Zhu, Heung-Il Suk, Seong-Whan Lee, Dinggang Shen:
Subspace Regularized Sparse Multitask Learning for Multiclass Neurodegenerative Disease Identification. IEEE Trans. Biomed. Eng. 63(3): 607-618 (2016)
[j160]
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Mingxia Liu, Daoqiang Zhang, Ehsan Adeli, Dinggang Shen:
Inherent Structure-Based Multiview Learning With Multitemplate Feature Representation for Alzheimer's Disease Diagnosis. IEEE Trans. Biomed. Eng. 63(7): 1473-1482 (2016)
[j159]
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Guorong Wu, Minjeong Kim, Qian Wang, Brent C. Munsell, Dinggang Shen:
Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning. IEEE Trans. Biomed. Eng. 63(7): 1505-1516 (2016)
[j158]
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Jun Zhang, Yaozong Gao, Li Wang, Zhen Tang, James J. Xia, Dinggang Shen:
Automatic Craniomaxillofacial Landmark Digitization via Segmentation-Guided Partially-Joint Regression Forest Model and Multiscale Statistical Features. IEEE Trans. Biomed. Eng. 63(9): 1820-1829 (2016)
[j157]
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  - journals/tip/AnZAWMSLLS16
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Le An, Pei Zhang, Ehsan Adeli-Mosabbeb, Yan Wang, Guangkai Ma, Feng Shi, David S. Lalush, Weili Lin, Dinggang Shen:
Multi-Level Canonical Correlation Analysis for Standard-Dose PET Image Estimation. IEEE Trans. Image Process. 25(7): 3303-3315 (2016)
[j156]
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Pew-Thian Yap, Yong Zhang, Dinggang Shen:
Multi-Tissue Decomposition of Diffusion MRI Signals via ℓ₀ Sparse-Group Estimation. IEEE Trans. Image Process. 25(9): 4340-4353 (2016)
[j155]
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Tri Huynh, Yaozong Gao, Jiayin Kang, Li Wang, Pei Zhang, Jun Lian, Dinggang Shen:
Estimating CT Image From MRI Data Using Structured Random Forest and Auto-Context Model. IEEE Trans. Medical Imaging 35(1): 174-183 (2016)
[j154]
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Yanrong Guo, Yaozong Gao, Dinggang Shen:
Deformable MR Prostate Segmentation via Deep Feature Learning and Sparse Patch Matching. IEEE Trans. Medical Imaging 35(4): 1077-1089 (2016)
[j153]
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Mingxia Liu, Daoqiang Zhang, Dinggang Shen:
Relationship Induced Multi-Template Learning for Diagnosis of Alzheimer's Disease and Mild Cognitive Impairment. IEEE Trans. Medical Imaging 35(6): 1463-1474 (2016)
[j152]
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Yaozong Gao, Yeqin Shao, Jun Lian, Andrew Z. Wang, Ronald C. Chen, Dinggang Shen:
Accurate Segmentation of CT Male Pelvic Organs via Regression-Based Deformable Models and Multi-Task Random Forests. IEEE Trans. Medical Imaging 35(6): 1532-1543 (2016)
[j151]
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Zhou Li, Heung-Il Suk, Dinggang Shen, Lexin Li:
Sparse Multi-Response Tensor Regression for Alzheimer's Disease Study With Multivariate Clinical Assessments. IEEE Trans. Medical Imaging 35(8): 1927-1936 (2016)
[j150]
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Khosro Bahrami, Feng Shi, Xiaopeng Zong, Hae Won Shin, Hongyu An, Dinggang Shen:
Reconstruction of 7T-Like Images From 3T MRI. IEEE Trans. Medical Imaging 35(9): 2085-2097 (2016)
[j149]
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Jun Zhang, Yue Gao, Yaozong Gao, Brent C. Munsell, Dinggang Shen:
Detecting Anatomical Landmarks for Fast Alzheimer's Disease Diagnosis. IEEE Trans. Medical Imaging 35(12): 2524-2533 (2016)
[j148]
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Yuyao Zhang, Feng Shi, Guorong Wu, Li Wang, Pew-Thian Yap, Dinggang Shen:
Consistent Spatial-Temporal Longitudinal Atlas Construction for Developing Infant Brains. IEEE Trans. Medical Imaging 35(12): 2568-2577 (2016)
[c341]
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  - conf/ideal/WangHSLWWS16
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Si Wang, Hao Hu, Shanshan Su, Luyan Liu, Zhen Wang, Qian Wang, Dinggang Shen:
Combination of Grey Matter and White Matter Features for Early Prediction of Posttraumatic Stress Disorder. IDEAL 2016: 560-567
[c340]
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  - conf/isbi/NieWGS16
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Dong Nie, Li Wang, Yaozong Gao, Dinggang Shen:
Fully convolutional networks for multi-modality isointense infant brain image segmentation. ISBI 2016: 1342-1345
[c339]
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  - conf/kdd/ZhangWZWLSJ16
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Lei Zhang, Shupeng Wang, Xiaoyu Zhang, Yong Wang, Binbin Li, Dinggang Shen, Shuiwang Ji:
Collaborative Multi-View Denoising. KDD 2016: 2045-2054
[c338]
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  - conf/miar/ZhangWWS16
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Jinpeng Zhang, Qian Wang, Guorong Wu, Dinggang Shen:
Cross-Manifold Guidance in Deformable Registration of Brain MR Images. MIAR 2016: 415-424
[c337]
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  - conf/miccai/CaoGYWS16
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Xiaohuan Cao, Yaozong Gao, Jianhua Yang, Guorong Wu, Dinggang Shen:
Learning-Based Multimodal Image Registration for Prostate Cancer Radiation Therapy. MICCAI (3) 2016: 1-9
[c336]
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  - conf/miccai/GuoDH0WS16
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Yanrong Guo, Pei Dong, Shijie Hao, Li Wang, Guorong Wu, Dinggang Shen:
Automatic Segmentation of Hippocampus for Longitudinal Infant Brain MR Image Sequence by Spatial-Temporal Hypergraph Learning. Patch-MI@MICCAI 2016: 1-8
[c335]
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Luyan Liu, Qian Wang, Ehsan Adeli, Lichi Zhang, Han Zhang, Dinggang Shen:
Feature Selection Based on Iterative Canonical Correlation Analysis for Automatic Diagnosis of Parkinson's Disease. MICCAI (2) 2016: 1-8
[c334]
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  - conf/miccai/ZuGMKPZGZSW16
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Chen Zu, Yue Gao, Brent C. Munsell, Minjeong Kim, Zi-Wen Peng, Yingying Zhu, Wei Gao, Daoqiang Zhang, Dinggang Shen, Guorong Wu:
Identifying High Order Brain Connectome Biomarkers via Learning on Hypergraph. MLMI@MICCAI 2016: 1-9
[c333]
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  - conf/miccai/SaghafiCSYS16
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Behrouz Saghafi, Geng Chen, Feng Shi, Pew-Thian Yap, Dinggang Shen:
Construction of Neonatal Diffusion Atlases via Spatio-Angular Consistency. Patch-MI@MICCAI 2016: 9-16
[c332]
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  - conf/miccai/MengL0LGS16
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Yu Meng, Gang Li, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen:
Discovering Cortical Folding Patterns in Neonatal Cortical Surfaces Using Large-Scale Dataset. MICCAI (1) 2016: 10-18
[c331]
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Xiaobo Chen, Han Zhang, Dinggang Shen:
Ensemble Hierarchical High-Order Functional Connectivity Networks for MCI Classification. MICCAI (2) 2016: 18-25
[c330]
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Luyan Liu, Han Zhang, Islem Rekik, Xiaobo Chen, Qian Wang, Dinggang Shen:
Outcome Prediction for Patient with High-Grade Gliomas from Brain Functional and Structural Networks. MICCAI (2) 2016: 26-34
[c329]
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  - https://dblp.org/rec/conf/miccai/WangGLSLS16
Li Wang, Yaozong Gao, Gang Li, Feng Shi, Weili Lin, Dinggang Shen:
LATEST: Local AdapTivE and Sequential Training for Tissue Segmentation of Isointense Infant Brain MR Images. MCV/BAMBI@MICCAI 2016: 26-34
[c328]
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Li Wang, Yanrong Guo, Xiaohuan Cao, Guorong Wu, Dinggang Shen:
Consistent Multi-Atlas Hippocampus Segmentation for Longitudinal MR Brain Images with Temporal Sparse Representation. Patch-MI@MICCAI 2016: 34-42
[c327]
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Jun Zhang, Mingxia Liu, Le An, Yaozong Gao, Dinggang Shen:
Landmark-Based Alzheimer's Disease Diagnosis Using Longitudinal Structural MR Images. MCV/BAMBI@MICCAI 2016: 35-45
[c326]
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Lifang Wei, Shunbo Hu, Yaozong Gao, Xiaohuan Cao, Guorong Wu, Dinggang Shen:
Learning Appearance and Shape Evolution for Infant Image Registration in the First Year of Life. MLMI@MICCAI 2016: 36-44
[c325]
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Renping Yu, Han Zhang, Le An, Xiaobo Chen, Zhihui Wei, Dinggang Shen:
Correlation-Weighted Sparse Group Representation for Brain Network Construction in MCI Classification. MICCAI (1) 2016: 37-45
[c324]
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Khosro Bahrami, Feng Shi, Islem Rekik, Dinggang Shen:
Convolutional Neural Network for Reconstruction of 7T-like Images from 3T MRI Using Appearance and Anatomical Features. LABELS/DLMIA@MICCAI 2016: 39-47
[c323]
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Pei Dong, Yanrong Guo, Yue Gao, Peipeng Liang, Yonghong Shi, Qian Wang, Dinggang Shen, Guorong Wu:
Multi-Atlas Based Segmentation of Brainstem Nuclei from MR Images by Deep Hyper-Graph Learning. Patch-MI@MICCAI 2016: 51-59
[c322]
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Jun Zhang, Yaozong Gao, Sang Hyun Park, Xiaopeng Zong, Weili Lin, Dinggang Shen:
Segmentation of Perivascular Spaces Using Vascular Features and Structured Random Forest from 7T MR Image. MLMI@MICCAI 2016: 61-68
[c321]
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Minjeong Kim, Guorong Wu, Isrem Rekik, Dinggang Shen:
Dual-Layer Groupwise Registration for Consistent Labeling of Longitudinal Brain Images. MLMI@MICCAI 2016: 69-76
[c320]
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Jailin Peng, Le An, Xiaofeng Zhu, Yan Jin, Dinggang Shen:
Structured Sparse Kernel Learning for Imaging Genetics Based Alzheimer's Disease Diagnosis. MICCAI (2) 2016: 70-78
[c319]
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Xiaofeng Zhu, Heung-Il Suk, Kim-Han Thung, Yingying Zhu, Guorong Wu, Dinggang Shen:
Joint Discriminative and Representative Feature Selection for Alzheimer's Disease Diagnosis. MLMI@MICCAI 2016: 77-85
[c318]
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Le An, Ehsan Adeli, Mingxia Liu, Jun Zhang, Dinggang Shen:
Semi-supervised Hierarchical Multimodal Feature and Sample Selection for Alzheimer's Disease Diagnosis. MICCAI (2) 2016: 79-87
[c317]
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  - conf/miccai/ThungAYS16
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Kim-Han Thung, Ehsan Adeli, Pew-Thian Yap, Dinggang Shen:
Stability-Weighted Matrix Completion of Incomplete Multi-modal Data for Disease Diagnosis. MICCAI (2) 2016: 88-96
[c316]
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Yingying Zhu, Xiaofeng Zhu, Han Zhang, Wei Gao, Dinggang Shen, Guorong Wu:
Reveal Consistent Spatial-Temporal Patterns from Dynamic Functional Connectivity for Autism Spectrum Disorder Identification. MICCAI (1) 2016: 106-114
[c315]
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Heung-Il Suk, Dinggang Shen:
Deep Ensemble Sparse Regression Network for Alzheimer's Disease Diagnosis. MLMI@MICCAI 2016: 113-121
[c314]
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  - conf/miccai/NieCG0S16
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Dong Nie, Xiaohuan Cao, Yaozong Gao, Li Wang, Dinggang Shen:
Estimating CT Image from MRI Data Using 3D Fully Convolutional Networks. LABELS/DLMIA@MICCAI 2016: 170-178
[c313]
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  - conf/miccai/RekikLYCLS16
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Islem Rekik, Gang Li, Pew-Thian Yap, Geng Chen, Weili Lin, Dinggang Shen:
A Hybrid Multishape Learning Framework for Longitudinal Prediction of Cortical Surfaces and Fiber Tracts Using Neonatal Data. MICCAI (1) 2016: 210-218
[c312]
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Dong Nie, Han Zhang, Ehsan Adeli, Luyan Liu, Dinggang Shen:
3D Deep Learning for Multi-modal Imaging-Guided Survival Time Prediction of Brain Tumor Patients. MICCAI (2) 2016: 212-220
[c311]
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Renping Yu, Minghui Deng, Pew-Thian Yap, Zhihui Wei, Li Wang, Dinggang Shen:
Learning-Based 3T Brain MRI Segmentation with Guidance from 7T MRI Labeling. MLMI@MICCAI 2016: 213-220
[c310]
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Shijie Hao, Gang Li, Li Wang, Yu Meng, Dinggang Shen:
Learning-Based Topological Correction for Infant Cortical Surfaces. MICCAI (1) 2016: 219-227
[c309]
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Zhengwang Wu, Yaozong Gao, Feng Shi, Valerie Jewells, Dinggang Shen:
Automatic Hippocampal Subfield Segmentation from 3T Multi-modality Images. MLMI@MICCAI 2016: 229-236
[c308]
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Zhengwang Wu, Sang Hyun Park, Yanrong Guo, Yaozong Gao, Dinggang Shen:
Regression Guided Deformable Models for Segmentation of Multiple Brain ROIs. MLMI@MICCAI 2016: 237-245
[c307]
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  - conf/miccai/YangJCZLS16
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Xi Yang, Yan Jin, Xiaobo Chen, Han Zhang, Gang Li, Dinggang Shen:
Functional Connectivity Network Fusion with Dynamic Thresholding for MCI Diagnosis. MLMI@MICCAI 2016: 246-253
[c306]
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Dong Ni, Xing Ji, Yaozong Gao, Jie-Zhi Cheng, Huifang Wang, Jing Qin, Bai Ying Lei, Tianfu Wang, Guorong Wu, Dinggang Shen:
Automatic Cystocele Severity Grading in Ultrasound by Spatio-Temporal Regression. MICCAI (2) 2016: 247-255
[c305]
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Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Dinggang Shen, Guorong Wu:
Early Diagnosis of Alzheimer's Disease by Joint Feature Selection and Classification on Temporally Structured Support Vector Machine. MICCAI (1) 2016: 264-272
[c304]
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Xiaoqian Wang, Dinggang Shen, Heng Huang:
Prediction of Memory Impairment with MRI Data: A Longitudinal Study of Alzheimer's Disease. MICCAI (1) 2016: 273-281
[c303]
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Zhengxia Wang, Xiaofeng Zhu, Ehsan Adeli, Yingying Zhu, Chen Zu, Feiping Nie, Dinggang Shen, Guorong Wu:
Progressive Graph-Based Transductive Learning for Multi-modal Classification of Brain Disorder Disease. MICCAI (1) 2016: 291-299
[c302]
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Mingxia Liu, Jun Zhang, Pew-Thian Yap, Dinggang Shen:
Diagnosis of Alzheimer's Disease Using View-Aligned Hypergraph Learning with Incomplete Multi-modality Data. MICCAI (1) 2016: 308-316
[c301]
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Xiaofeng Zhu, Kim-Han Thung, Jun Zhang, Dinggang Shen:
Fast Neuroimaging-Based Retrieval for Alzheimer's Disease Analysis. MLMI@MICCAI 2016: 313-321
[c300]
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Zhouyuan Huo, Dinggang Shen, Heng Huang:
New Multi-task Learning Model to Predict Alzheimer's Disease Cognitive Assessment. MICCAI (1) 2016: 317-325
[c299]
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Xiaofeng Zhu, Heung-Il Suk, Heng Huang, Dinggang Shen:
Structured Sparse Low-Rank Regression Model for Brain-Wide and Genome-Wide Associations. MICCAI (1) 2016: 344-352
[c298]
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Pew-Thian Yap, Bin Dong, Yong Zhang, Dinggang Shen:
Tight Graph Framelets for Sparse Diffusion MRI q-Space Representation. MICCAI (3) 2016: 561-569
[c297]
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Khosro Bahrami, Islem Rekik, Feng Shi, Yaozong Gao, Dinggang Shen:
7T-Guided Learning Framework for Improving the Segmentation of 3T MR Images. MICCAI (2) 2016: 572-580
[c296]
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  - conf/miccai/ChenWSY16
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Geng Chen, Yafeng Wu, Dinggang Shen, Pew-Thian Yap:
XQ-NLM: Denoising Diffusion MRI Data via x-q Space Non-local Patch Matching. MICCAI (3) 2016: 587-595
[i3]
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Dong Nie, Roger Trullo, Caroline Petitjean, Su Ruan, Dinggang Shen:
Medical Image Synthesis with Context-Aware Generative Adversarial Networks. CoRR abs/1612.05362 (2016)
2015
[j147]
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Dinggang Shen, Guorong Wu, Daoqiang Zhang, Kenji Suzuki, Fei Wang, Pingkun Yan:
Machine learning in medical imaging. Comput. Medical Imaging Graph. 41: 1-2 (2015)
[j146]
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Dong Han, Yaozong Gao, Guorong Wu, Pew-Thian Yap, Dinggang Shen:
Robust anatomical landmark detection with application to MR brain image registration. Comput. Medical Imaging Graph. 46: 277-290 (2015)
[j145]
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  - journals/mia/WangKSWS15
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Qian Wang, Minjeong Kim, Yonghong Shi, Guorong Wu, Dinggang Shen:
Predict brain MR image registration via sparse learning of appearance and transformation. Medical Image Anal. 20(1): 61-75 (2015)
[j144]
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  - journals/mia/SanromaWGTGS15
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Gerard Sanroma, Guorong Wu, Yaozong Gao, Kim-Han Thung, Yanrong Guo, Dinggang Shen:
A transversal approach for patch-based label fusion via matrix completion. Medical Image Anal. 24(1): 135-148 (2015)
[j143]
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  - journals/mia/Li0SGLS15
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Gang Li, Li Wang, Feng Shi, John H. Gilmore, Weili Lin, Dinggang Shen:
Construction of 4D high-definition cortical surface atlases of infants: Methods and applications. Medical Image Anal. 25(1): 22-36 (2015)
[j142]
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Shaoyi Du, Yanrong Guo, Gerard Sanroma, Dong Ni, Guorong Wu, Dinggang Shen:
Building dynamic population graph for accurate correspondence detection. Medical Image Anal. 26(1): 256-267 (2015)
[j141]
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Yeqin Shao, Yaozong Gao, Qian Wang, Xin Yang, Dinggang Shen:
Locally-constrained boundary regression for segmentation of prostate and rectum in the planning CT images. Medical Image Anal. 26(1): 345-356 (2015)
[j140]
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  - journals/neuroimage/KimWWLS15
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Minjeong Kim, Guorong Wu, Qian Wang, Seong-Whan Lee, Dinggang Shen:
Improved image registration by sparse patch-based deformation estimation. NeuroImage 105: 257-268 (2015)
[j139]
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  - journals/neuroimage/WuKSWMS15
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Guorong Wu, Minjeong Kim, Gerard Sanroma, Qian Wang, Brent C. Munsell, Dinggang Shen:
Hierarchical multi-atlas label fusion with multi-scale feature representation and label-specific patch partition. NeuroImage 106: 34-46 (2015)
[j138]
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Li Wang, Yaozong Gao, Feng Shi, Gang Li, John H. Gilmore, Weili Lin, Dinggang Shen:
LINKS: Learning-based multi-source IntegratioN frameworK for Segmentation of infant brain images. NeuroImage 108: 160-172 (2015)
[j137]
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Wenlu Zhang, Rongjian Li, Houtao Deng, Li Wang, Weili Lin, Shuiwang Ji, Dinggang Shen:
Deep convolutional neural networks for multi-modality isointense infant brain image segmentation. NeuroImage 108: 214-224 (2015)
[j136]
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  - journals/neuroimage/MunsellWKWESNSS15
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Brent C. Munsell, Chong-Yaw Wee, Simon S. Keller, Bernd Weber, Christian Erich Elger, Laura Angelica Tomaz da Silva, Travis Nesland, Martin Styner, Dinggang Shen, Leonardo Bonilha:
Evaluation of machine learning algorithms for treatment outcome prediction in patients with epilepsy based on structural connectome data. NeuroImage 118: 219-230 (2015)
[j135]
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  - journals/ni/SukWLS15
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Heung-Il Suk, Chong-Yaw Wee, Seong-Whan Lee, Dinggang Shen:
Supervised Discriminative Group Sparse Representation for Mild Cognitive Impairment Diagnosis. Neuroinformatics 13(3): 277-295 (2015)
[j134]
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  - journals/pami/ShiGLZGS15
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Yinghuan Shi, Yaozong Gao, Shu Liao, Daoqiang Zhang, Yang Gao, Dinggang Shen:
Semi-Automatic Segmentation of Prostate in CT Images via Coupled Feature Representation and Spatial-Constrained Transductive Lasso. IEEE Trans. Pattern Anal. Mach. Intell. 37(11): 2286-2303 (2015)
[j133]
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  - journals/pr/LiuZWZYS15
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Xinwang Liu, Luping Zhou, Lei Wang, Jian Zhang, Jianping Yin, Dinggang Shen:
An efficient radius-incorporated MKL algorithm for Alzheimer's disease prediction. Pattern Recognit. 48(7): 2141-2150 (2015)
[j132]
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  - journals/tbe/JiangZZLCLHHS0L15
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Xi Jiang, Tuo Zhang, Dajiang Zhu, Kaiming Li, Hanbo Chen, Jinglei Lv, Xintao Hu, Junwei Han, Dinggang Shen, Lei Guo, Tianming Liu:
Anatomy-Guided Dense Individualized and Common Connectivity-Based Cortical Landmarks (A-DICCCOL). IEEE Trans. Biomed. Eng. 62(4): 1108-1119 (2015)
[j131]
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Bo Cheng, Mingxia Liu, Daoqiang Zhang, Brent C. Munsell, Dinggang Shen:
Domain Transfer Learning for MCI Conversion Prediction. IEEE Trans. Biomed. Eng. 62(7): 1805-1817 (2015)
[j130]
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  - journals/titb/ShenZYP15
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Dinggang Shen, Daoqiang Zhang, Alastair Young, Bahram Parvin:
EditorialMachine Learning and Data Mining in Medical Imaging. IEEE J. Biomed. Health Informatics 19(5): 1587-1588 (2015)
[j129]
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Feng Li, Loc Tran, Kim-Han Thung, Shuiwang Ji, Dinggang Shen, Jiang Li:
A Robust Deep Model for Improved Classification of AD/MCI Patients. IEEE J. Biomed. Health Informatics 19(5): 1610-1616 (2015)
[j128]
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Qian Wang, Le Lu, Dijia Wu, Noha Youssry El-Zehiry, Yefeng Zheng, Dinggang Shen, Shaohua Kevin Zhou:
Automatic Segmentation of Spinal Canals in CT Images via Iterative Topology Refinement. IEEE Trans. Medical Imaging 34(8): 1694-1704 (2015)
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Qian Wang, Guorong Wu, Minjeong Kim, Lichi Zhang, Dinggang Shen:
Interactive Registration and Segmentation for Multi-Atlas-Based Labeling of Brain MR Image. CCCV (1) 2015: 240-248
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  - conf/icml/SanromaBPWZSB15
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Gerard Sanroma, Oualid M. Benkarim, Gemma Piella, Guorong Wu, Xiaofeng Zhu, Dinggang Shen, Miguel Ángel González Ballester:
Discriminative Dimensionality Reduction for Patch-Based Label Fusion. MLMMI@ICML 2015: 94-103
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Islem Rekik, Gang Li, Weili Lin, Dinggang Shen:
Prediction of Longitudinal Development of Infant Cortical Surface Shape Using a 4D Current-Based Learning Framework. IPMI 2015: 576-587
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Jian Cheng, Dinggang Shen, Peter J. Basser, Pew-Thian Yap:
Joint 6D k-q Space Compressed Sensing for Accelerated High Angular Resolution Diffusion MRI. IPMI 2015: 782-793
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Geng Chen, Pei Zhang, Yafeng Wu, Dinggang Shen, Pew-Thian Yap:
Collaborative non-local means denoising of magnetic resonance images. ISBI 2015: 564-567
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Yu Meng, Gang Li, Yaozong Gao, Dinggang Shen:
Automatic parcellation of cortical surfaces using random forests. ISBI 2015: 810-813
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Minjeong Kim, Guorong Wu, Yanrong Guo, Dinggang Shen:
Joint labeling of multiple regions of interest (ROIS) by enhanced auto context models. ISBI 2015: 1560-1563
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Le An, Pei Zhang, Ehsan Adeli-Mosabbeb, Yan Wang, Guangkai Ma, Feng Shi, David S. Lalush, Weili Lin, Dinggang Shen:
A Multi-level Canonical Correlation Analysis Scheme for Standard-Dose PET Image Estimation. Patch-MI@MICCAI 2015: 1-9
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Guorong Wu, Xiaofeng Zhu, Qian Wang, Dinggang Shen:
Image Super-Resolution by Supervised Adaption of Patchwise Self-similarity from High-Resolution Image. Patch-MI@MICCAI 2015: 10-18
[c286]
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Guangkai Ma, Yaozong Gao, Li Wang, Ligang Wu, Dinggang Shen:
Soft-Split Random Forest for Anatomy Labeling. MLMI 2015: 17-25
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Lichi Zhang, Qian Wang, Yaozong Gao, Guorong Wu, Dinggang Shen:
Automatic Hippocampus Labeling Using the Hierarchy of Sub-region Random Forests. Patch-MI@MICCAI 2015: 19-27
[c284]
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Mingxia Liu, Daoqiang Zhang, Ehsan Adeli-Mosabbeb, Dinggang Shen:
Relationship Induced Multi-atlas Learning for Alzheimer's Disease Diagnosis. MCV@MICCAI 2015: 24-33
[c283]
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Jian Cheng, Dinggang Shen, Pew-Thian Yap, Peter J. Basser:
Novel Single and Multiple Shell Uniform Sampling Schemes for Diffusion MRI Using Spherical Codes. MICCAI (1) 2015: 28-36
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Li Wang, Feng Shi, Yaozong Gao, Gang Li, Weili Lin, Dinggang Shen:
Isointense Infant Brain Segmentation by Stacked Kernel Canonical Correlation Analysis. Patch-MI@MICCAI 2015: 28-36
[c281]
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Shuyu Li, Feng Shi, Guangkai Ma, Minjeong Kim, Dinggang Shen:
Improving Accuracy of Automatic Hippocampus Segmentation in Routine MRI by Features Learned from Ultra-High Field MRI. Patch-MI@MICCAI 2015: 37-45
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Qian Wang, Guorong Wu, Dinggang Shen:
Dual-Layer ℓ₁-Graph Embedding for Semi-supervised Image Labeling. Patch-MI@MICCAI 2015: 46-53
[c279]
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Geng Chen, Pei Zhang, Ke Li, Chong-Yaw Wee, Yafeng Wu, Dinggang Shen, Pew-Thian Yap:
Block-Based Statistics for Robust Non-parametric Morphometry. Patch-MI@MICCAI 2015: 62-70
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Yanrong Guo, Guorong Wu, Pew-Thian Yap, Valerie Jewells, Weili Lin, Dinggang Shen:
Segmentation of Infant Hippocampus Using Common Feature Representations Learned for Multimodal Longitudinal Data. MICCAI (3) 2015: 63-71
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Zuoyong Li, Le An, Jun Zhang, Li Wang, James J. Xia, Dinggang Shen:
Craniomaxillofacial Deformity Correction via Sparse Representation in Coherent Space. MLMI 2015: 69-76
[c276]
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Li Wang, Yaozong Gao, Feng Shi, Gang Li, Ken-Chung Chen, Zhen Tang, James J. Xia, Dinggang Shen:
Automated Segmentation of CBCT Image with Prior-Guided Sequential Random Forest. MCV@MICCAI 2015: 72-82
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Yue Gao, Chong-Yaw Wee, Minjeong Kim, Panteleimon Giannakopoulos, Marie-Louise Montandon, Sven Haller, Dinggang Shen:
MCI Identification by Joint Learning on Multiple MRI Data. MICCAI (2) 2015: 78-85
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Yu Meng, Gang Li, Yaozong Gao, John H. Gilmore, Weili Lin, Dinggang Shen:
Subject-Specific Estimation of Missing Cortical Thickness Maps in Developing Infant Brains. MCV@MICCAI 2015: 83-92
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Yue Gao, Ehsan Adeli-Mosabbeb, Minjeong Kim, Panteleimon Giannakopoulos, Sven Haller, Dinggang Shen:
Medical Image Retrieval Using Multi-graph Learning for MCI Diagnostic Assistance. MICCAI (2) 2015: 86-93
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Yaozong Gao, Jun Lian, Dinggang Shen:
Joint Learning of Image Regressor and Classifier for Deformable Segmentation of CT Pelvic Organs. MICCAI (3) 2015: 114-122
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Ehsan Adeli-Mosabbeb, Chong-Yaw Wee, Le An, Feng Shi, Dinggang Shen:
Joint Feature-Sample Selection and Robust Classification for Parkinson's Disease Diagnosis. MCV@MICCAI 2015: 127-136
[c270]
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Yan Wang, Pei Zhang, Le An, Guangkai Ma, Jiayin Kang, Xi Wu, Jiliu Zhou, David S. Lalush, Weili Lin, Dinggang Shen:
Predicting Standard-Dose PET Image from Low-Dose PET and Multimodal MR Images Using Mapping-Based Sparse Representation. MLMI 2015: 127-135
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Pew-Thian Yap, Yong Zhang, Dinggang Shen:
Brain Tissue Segmentation Based on Diffusion MRI Using ℓ0 Sparse-Group Representation Classification. MICCAI (3) 2015: 132-139
[c268]
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Pei Zhang, Guorong Wu, Yaozong Gao, Pew-Thian Yap, Dinggang Shen:
Dynamic Tree-Based Large-Deformation Image Registration for Multi-atlas Segmentation. MCV@MICCAI 2015: 137-145
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Yeqin Shao, Yanrong Guo, Yaozong Gao, Xin Yang, Dinggang Shen:
Hippocampus Segmentation from MR Infant Brain Images via Boundary Regression. MCV@MICCAI 2015: 146-154
[c266]
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Yan Jin, Chong-Yaw Wee, Feng Shi, Kim-Han Thung, Pew-Thian Yap, Dinggang Shen:
Identification of Infants at Risk for Autism Using Multi-parameter Hierarchical White Matter Connectomes. MLMI 2015: 170-177
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Jian Cheng, Dinggang Shen, Pew-Thian Yap, Peter J. Basser:
Tensorial Spherical Polar Fourier Diffusion MRI with Optimal Dictionary Learning. MICCAI (1) 2015: 174-182
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Pew-Thian Yap, Yong Zhang, Dinggang Shen:
Diffusion Compartmentalization Using Response Function Groups with Cardinality Penalization. MICCAI (1) 2015: 183-190
[c263]
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Qin Liu, Qian Wang, Lichi Zhang, Yaozong Gao, Dinggang Shen:
Multi-atlas Context Forests for Knee MR Image Segmentation. MLMI 2015: 186-193
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Pei Dong, Yanrong Guo, Dinggang Shen, Guorong Wu:
Multi-atlas and Multi-modal Hippocampus Segmentation for Infant MR Brain Images by Propagating Anatomical Labels on Hypergraph. Patch-MI@MICCAI 2015: 188-196
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  - conf/miccai/SongWSBLS15
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Yantao Song, Guorong Wu, Quan-Sen Sun, Khosro Bahrami, Chunming Li, Dinggang Shen:
Progressive Label Fusion Framework for Multi-atlas Segmentation by Dictionary Evolution. MICCAI (3) 2015: 190-197
[c260]
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  - conf/miccai/RekikLWLS15
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Islem Rekik, Gang Li, Guorong Wu, Weili Lin, Dinggang Shen:
Prediction of Infant MRI Appearance and Anatomical Structure Evolution Using Sparse Patch-Based Metamorphosis Learning Framework. Patch-MI@MICCAI 2015: 197-204
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Sang Hyun Park, Yaozong Gao, Dinggang Shen:
Multi-atlas Based Segmentation Editing with Interaction-Guided Constraints. MICCAI (3) 2015: 198-206
[c258]
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  - conf/miccai/GeWWGS15
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Hongkun Ge, Guorong Wu, Li Wang, Yaozong Gao, Dinggang Shen:
Hierarchical Multi-modal Image Registration by Learning Common Feature Representations. MLMI 2015: 203-211
[c257]
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Pew-Thian Yap, Yong Zhang, Dinggang Shen:
Iterative Subspace Screening for Rapid Sparse Estimation of Brain Tissue Microstructural Properties. MICCAI (1) 2015: 223-230
[c256]
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Islem Rekik, Gang Li, Weili Lin, Dinggang Shen:
Topography-Based Registration of Developing Cortical Surfaces in Infants Using Multidirectional Varifold Representation. MICCAI (2) 2015: 230-237
[c255]
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Lei Huang, Yaozong Gao, Yan Jin, Kim-Han Thung, Dinggang Shen:
Soft-Split Sparse Regression Based Random Forest for Predicting Future Clinical Scores of Alzheimer's Disease. MLMI 2015: 246-254
[c254]
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  - conf/miccai/ZhangSYS15
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Yuyao Zhang, Feng Shi, Pew-Thian Yap, Dinggang Shen:
Space-Frequency Detail-Preserving Construction of Neonatal Brain Atlases. MICCAI (2) 2015: 255-262
[c253]
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Xiaofeng Zhu, Heung-Il Suk, Yonghua Zhu, Kim-Han Thung, Guorong Wu, Dinggang Shen:
Multi-view Classification for Identification of Alzheimer's Disease. MLMI 2015: 255-262
[c252]
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Mingxia Liu, Daoqiang Zhang, Dinggang Shen:
Inherent Structure-Guided Multi-view Learning for Alzheimer's Disease and Mild Cognitive Impairment Classification. MLMI 2015: 296-303
[c251]
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Tri Huynh, Yaozong Gao, Jiayin Kang, Li Wang, Pei Zhang, Dinggang Shen:
Multi-source Information Gain for Random Forest: An Application to CT Image Prediction from MRI Data. MLMI 2015: 321-329
[c250]
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  - conf/miccai/ThungYAS15
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Kim-Han Thung, Pew-Thian Yap, Ehsan Adeli-Mosabbeb, Dinggang Shen:
Joint Diagnosis and Conversion Time Prediction of Progressive Mild Cognitive Impairment (pMCI) Using Low-Rank Subspace Clustering and Matrix Completion. MICCAI (3) 2015: 527-534
[c249]
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Gang Li, Li Wang, John H. Gilmore, Weili Lin, Dinggang Shen:
Parcellation of Infant Surface Atlas Using Developmental Trajectories of Multidimensional Cortical Attributes. MICCAI (3) 2015: 543-550
[c248]
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Yu Meng, Gang Li, Weili Lin, John H. Gilmore, Dinggang Shen:
Cortical Surface-Based Construction of Individual Structural Network with Application to Early Brain Development Study. MICCAI (3) 2015: 560-568
[c247]
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  - conf/miccai/SukLS15
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Heung-Il Suk, Seong-Whan Lee, Dinggang Shen:
A Hybrid of Deep Network and Hidden Markov Model for MCI Identification with Resting-State fMRI. MICCAI (1) 2015: 573-580
[c246]
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  - conf/miccai/BahramiSZSAS15
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Khosro Bahrami, Feng Shi, Xiaopeng Zong, Hae Won Shin, Hongyu An, Dinggang Shen:
Hierarchical Reconstruction of 7T-like Images from 3T MRI Using Multi-level CCA and Group Sparsity. MICCAI (2) 2015: 659-666
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Jun Zhang, Yaozong Gao, Li Wang, Zhen Tang, James J. Xia, Dinggang Shen:
Automatic Craniomaxillofacial Landmark Digitization via Segmentation-Guided Partially-Joint Regression Forest Model. MICCAI (3) 2015: 661-668
[c244]
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Guangkai Ma, Yaozong Gao, Guorong Wu, Ligang Wu, Dinggang Shen:
Non-local Atlas-guided Multi-channel Forest Learning for Human Brain Labeling. MICCAI (3) 2015: 719-726
[c243]
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  - conf/nips/Adeli-MosabbebT15
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Ehsan Adeli-Mosabbeb, Kim-Han Thung, Le An, Feng Shi, Dinggang Shen:
Robust Feature-Sample Linear Discriminant Analysis for Brain Disorders Diagnosis. NIPS 2015: 658-666
[c242]
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  - conf/prni/YeZJSZ15
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Tingting Ye, Chen Zu, Biao Jie, Dinggang Shen, Daoqiang Zhang:
Discriminative Multi-task Feature Selection for Multi-modality Based AD/MCI Classification. PRNI 2015: 45-48
[i2]
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Luping Zhou, Lei Wang, Lingqiao Liu, Philip Ogunbona, Dinggang Shen:
Learning Discriminative Bayesian Networks from High-dimensional Continuous Neuroimaging Data. CoRR abs/1506.06868 (2015)
2014
[j127]
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Tuo Zhang, Hanbo Chen, Lei Guo, Kaiming Li, Longchuan Li, Shu Zhang, Dinggang Shen, Xiaoping Hu, Tianming Liu:
Characterization of U-shape streamline fibers: Methods and applications. Medical Image Anal. 18(5): 795-807 (2014)
[j126]
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Guorong Wu, Qian Wang, Daoqiang Zhang, Feiping Nie, Heng Huang, Dinggang Shen:
A generative probability model of joint label fusion for multi-atlas based brain segmentation. Medical Image Anal. 18(6): 881-890 (2014)
[j125]
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Gang Li, Li Wang, Feng Shi, Weili Lin, Dinggang Shen:
Simultaneous and consistent labeling of longitudinal dynamic developing cortical surfaces in infants. Medical Image Anal. 18(8): 1274-1289 (2014)
[j124]
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Pei Zhang, Marc Niethammer, Dinggang Shen, Pew-Thian Yap:
Large deformation diffeomorphic registration of diffusion-weighted imaging data. Medical Image Anal. 18(8): 1290-1298 (2014)
[j123]
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  - journals/neuroimage/WangSLGLGS14
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Li Wang, Feng Shi, Gang Li, Yaozong Gao, Weili Lin, John H. Gilmore, Dinggang Shen:
Segmentation of neonatal brain MR images using patch-driven level sets. NeuroImage 84: 141-158 (2014)
[j122]
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Feng Liu, Chong-Yaw Wee, Huafu Chen, Dinggang Shen:
Inter-modality relationship constrained multi-modality multi-task feature selection for Alzheimer's Disease and mild cognitive impairment identification. NeuroImage 84: 466-475 (2014)
[j121]
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Shihui Ying, Guorong Wu, Qian Wang, Dinggang Shen:
Hierarchical unbiased graph shrinkage (HUGS): A novel groupwise registration for large data set. NeuroImage 84: 626-638 (2014)
[j120]
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Pew-Thian Yap, Hongyu An, Yasheng Chen, Dinggang Shen:
Fiber-driven resolution enhancement of diffusion-weighted images. NeuroImage 84: 939-950 (2014)
[j119]
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Li Wang, Feng Shi, Yaozong Gao, Gang Li, John H. Gilmore, Weili Lin, Dinggang Shen:
Integration of sparse multi-modality representation and anatomical constraint for isointense infant brain MR image segmentation. NeuroImage 89: 152-164 (2014)
[j118]
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Gang Li, Jingxin Nie, Li Wang, Feng Shi, John H. Gilmore, Weili Lin, Dinggang Shen:
Measuring the dynamic longitudinal cortex development in infants by reconstruction of temporally consistent cortical surfaces. NeuroImage 90: 266-279 (2014)
[j117]
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Kim-Han Thung, Chong-Yaw Wee, Pew-Thian Yap, Dinggang Shen:
Neurodegenerative disease diagnosis using incomplete multi-modality data via matrix shrinkage and completion. NeuroImage 91: 386-400 (2014)
[j116]
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Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen:
A novel matrix-similarity based loss function for joint regression and classification in AD diagnosis. NeuroImage 100: 91-105 (2014)
[j115]
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Yu Meng, Gang Li, Weili Lin, John H. Gilmore, Dinggang Shen:
Spatial distribution and longitudinal development of deep cortical sulcal landmarks in infants. NeuroImage 100: 206-218 (2014)
[j114]
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Heung-Il Suk, Seong-Whan Lee, Dinggang Shen:
Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis. NeuroImage 101: 569-582 (2014)
[j113]
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  - journals/neuroimage/ChengDJSY14
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Jian Cheng, Rachid Deriche, Tianzi Jiang, Dinggang Shen, Pew-Thian Yap:
Non-Negative Spherical Deconvolution (NNSD) for estimation of fiber Orientation Distribution Function in single-/multi-shell diffusion MRI. NeuroImage 101: 750-764 (2014)
[j112]
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Manhua Liu, Daoqiang Zhang, Dinggang Shen:
Identifying Informative Imaging Biomarkers via Tree Structured Sparse Learning for AD Diagnosis. Neuroinformatics 12(3): 381-394 (2014)
[j111]
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Yang Li, Chong-Yaw Wee, Biao Jie, Zi-Wen Peng, Dinggang Shen:
Sparse Multivariate Autoregressive Modeling for Mild Cognitive Impairment Classification. Neuroinformatics 12(3): 455-469 (2014)
[j110]
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Shu Liao, Dinggang Shen, Albert C. S. Chung:
A Markov Random Field Groupwise Registration Framework for Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 36(4): 657-669 (2014)
[j109]
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Biao Jie, Daoqiang Zhang, Wei Gao, Qian Wang, Chong-Yaw Wee, Dinggang Shen:
Integration of Network Topological and Connectivity Properties for Neuroimaging Classification. IEEE Trans. Biomed. Eng. 61(2): 576-589 (2014)
[j108]
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Vangelis Metsis, Fillia Makedon, Dinggang Shen, Heng Huang:
DNA Copy Number Selection Using Robust Structured Sparsity-Inducing Norms. IEEE ACM Trans. Comput. Biol. Bioinform. 11(1): 168-181 (2014)
[j107]
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Yaozong Gao, Yiqiang Zhan, Dinggang Shen:
Incremental Learning With Selective Memory (ILSM): Towards Fast Prostate Localization for Image Guided Radiotherapy. IEEE Trans. Medical Imaging 33(2): 518-534 (2014)
[j106]
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Pew-Thian Yap, Hongyu An, Yasheng Chen, Dinggang Shen:
Uncertainty Estimation in Diffusion MRI Using the Nonlocal Bootstrap. IEEE Trans. Medical Imaging 33(8): 1627-1640 (2014)
[j105]
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Yeqin Shao, Yaozong Gao, Yanrong Guo, Yonghong Shi, Xin Yang, Dinggang Shen:
Hierarchical Lung Field Segmentation With Joint Shape and Appearance Sparse Learning. IEEE Trans. Medical Imaging 33(9): 1761-1780 (2014)
[j104]
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  - journals/tmi/SanromaWGS14
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Gerard Sanroma, Guorong Wu, Yaozong Gao, Dinggang Shen:
Learning to Rank Atlases for Multiple-Atlas Segmentation. IEEE Trans. Medical Imaging 33(10): 1939-1953 (2014)
[j103]
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  - journals/tmi/SanromaWGS14a
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Gerard Sanroma, Guorong Wu, Yaozong Gao, Dinggang Shen:
Correction to "Learning to Rank Atlases for Multiple-Atlas Segmentation". IEEE Trans. Medical Imaging 33(11): 2210 (2014)
[c241]
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  - conf/bmei/PengLCLSMD14
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Bo Peng, Gang Li, Zhiye Chen, Bin Lv, Dinggang Shen, Lin Ma, Yakang Dai:
Detection and analysis of T2DM biomarkers from brain MR images using BrainLab. BMEI 2014: 174-178
[c240]
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Yinghuan Shi, Heung-Il Suk, Yang Gao, Dinggang Shen:
Joint Coupled-Feature Representation and Coupled Boosting for AD Diagnosis. CVPR 2014: 2721-2728
[c239]
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Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen:
Matrix-Similarity Based Loss Function and Feature Selection for Alzheimer's Disease Diagnosis. CVPR 2014: 3089-3096
[c238]
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Gerard Sanroma, Guorong Wu, Yaozong Gao, Dinggang Shen:
Learning-Based Atlas Selection for Multiple-Atlas Segmentation. CVPR 2014: 3111-3117
[c237]
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  - conf/icarcv/BhavsarWS14
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Arnav Bhavsar, Guorong Wu, Dinggang Shen:
Motion-guided resolution enhancement for Lung 4D-CT. ICARCV 2014: 334-339
[c236]
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  - conf/isbi/ZhuSJL14
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Dajiang Zhu, Dinggang Shen, Xi Jiang, Tianming Liu:
Connectomics signature for characterizaton of mild cognitive impairment and schizophrenia. ISBI 2014: 325-328
[c235]
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Yasheng Chen, Hongyu An, Dinggang Shen, Hongtu Zhu, Weili Lin:
Tailor the longitudinal anaysis for nih longitudinal normal brain developmental study. ISBI 2014: 1206-1209
[c234]
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Yu Meng, Gang Li, Weili Lin, John H. Gilmore, Dinggang Shen:
Spatial distribution and longitudinal development of DEEP cortical sulcal landmarks in infants. ISBI 2014: 1214-1217
[c233]
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Yasheng Chen, Meher R. Juttukonda, Yue Z. Lee, Yi Su, Felipe Espinoza, Weili Lin, Dinggang Shen, David Lulash, Hongyu An:
MRI based attenuation correction for PET/MRI via MRF segmentation and sparse regression estimated CT. ISBI 2014: 1364-1367
[c232]
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Qian Wang, Guorong Wu, Li Wang, Pengfei Shi, Weili Lin, Dinggang Shen:
Sparsity-Learning-Based Longitudinal MR Image Registration for Early Brain Development. MLMI 2014: 1-8
[c231]
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  - conf/miccai/Wu0GLS14
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Guorong Wu, Li Wang, John H. Gilmore, Weili Lin, Dinggang Shen:
Joint Segmentation and Registration for Infant Brain Images. MCV 2014: 13-21
[c230]
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  - conf/miccai/0026GSLGLS14
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Li Wang, Yaozong Gao, Feng Shi, Gang Li, John H. Gilmore, Weili Lin, Dinggang Shen:
LINKS: Learning-Based Multi-source IntegratioN FrameworK for Segmentation of Infant Brain Images. MCV 2014: 22-33
[c229]
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Feng Shi, Jian Cheng, Li Wang, Pew-Thian Yap, Dinggang Shen:
Longitudinal Guided Super-Resolution Reconstruction of Neonatal Brain MR Images. STIA 2014: 67-76
[c228]
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Yi Ren, Li Wang, Yaozong Gao, Zhen Tang, Ken-Chung Chen, Jianfu Li, Steve Guo-Fang Shen, Jin Yan, Philip K. M. Lee, Ben Chow, James J. Xia, Dinggang Shen:
Estimating Anatomically-Correct Reference Model for Craniomaxillofacial Deformity via Sparse Representation. MICCAI (2) 2014: 73-80
[c227]
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Gang Li, Li Wang, Feng Shi, Weili Lin, Dinggang Shen:
Constructing 4D Infant Cortical Surface Atlases Based on Dynamic Developmental Trajectories of the Cortex. MICCAI (3) 2014: 89-96
[c226]
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Yaozong Gao, Li Wang, Yeqin Shao, Dinggang Shen:
Learning Distance Transform for Boundary Detection and Deformable Segmentation in CT Prostate Images. MLMI 2014: 93-100
[c225]
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Guangkai Ma, Yaozong Gao, Guorong Wu, Ligang Wu, Dinggang Shen:
Atlas-Guided Multi-channel Forest Learning for Human Brain Labeling. MCV 2014: 97-104
[c224]
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Yeqin Shao, Yaozong Gao, Xin Yang, Dinggang Shen:
CT Prostate Deformable Segmentation by Boundary Regression. MCV 2014: 127-136
[c223]
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  - conf/miccai/ZhuSS14b
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Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen:
Sparse Discriminative Feature Selection for Multi-class Alzheimer's Disease Classification. MLMI 2014: 157-164
[c222]
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Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen:
Multi-modality Canonical Feature Selection for Alzheimer's Disease Diagnosis. MICCAI (2) 2014: 162-169
[c221]
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Yaozong Gao, Dinggang Shen:
Context-Aware Anatomical Landmark Detection: Application to Deformable Model Initialization in Prostate CT Images. MLMI 2014: 165-173
[c220]
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  - conf/miccai/PriceWGS14
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True Price, Chong-Yaw Wee, Wei Gao, Dinggang Shen:
Multiple-Network Classification of Childhood Autism Using Functional Connectivity Dynamics. MICCAI (3) 2014: 177-184
[c219]
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  - conf/miccai/HanGWYS14
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Dong Han, Yaozong Gao, Guorong Wu, Pew-Thian Yap, Dinggang Shen:
Robust Anatomical Landmark Detection for MR Brain Image Registration. MICCAI (1) 2014: 186-193
[c218]
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  - conf/miccai/SanromaWTGS14
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Gerard Sanroma, Guorong Wu, Kim-Han Thung, Yanrong Guo, Dinggang Shen:
Novel Multi-Atlas Segmentation by Matrix Completion. MLMI 2014: 207-214
[c217]
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  - conf/miccai/MinCPWS14
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Rui Min, Jian Cheng, True Price, Guorong Wu, Dinggang Shen:
Maximum-Margin Based Representation Learning from Multiple Atlases for Alzheimer's Disease Classification. MICCAI (2) 2014: 212-219
[c216]
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  - conf/miccai/LiTTJSL14
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Feng Li, Loc Tran, Kim-Han Thung, Shuiwang Ji, Dinggang Shen, Jiang Li:
Robust Deep Learning for Improved Classification of AD/MCI Patients. MLMI 2014: 240-247
[c215]
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  - conf/miccai/ParkGSS14
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Sang Hyun Park, Yaozong Gao, Yinghuan Shi, Dinggang Shen:
Interactive Prostate Segmentation Based on Adaptive Feature Selection and Manifold Regularization. MLMI 2014: 264-271
[c214]
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  - conf/miccai/KangGWMSLS14
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Jiayin Kang, Yaozong Gao, Yao Wu, Guangkai Ma, Feng Shi, Weili Lin, Dinggang Shen:
Prediction of Standard-Dose PET Image by Low-Dose PET and MRI Images. MLMI 2014: 280-288
[c213]
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Jian Cheng, Dinggang Shen, Pew-Thian Yap:
Designing Single- and Multiple-Shell Sampling Schemes for Diffusion MRI Using Spherical Code. MICCAI (3) 2014: 281-288
[c212]
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Xuchu Wang, Li Wang, Heung-Il Suk, Dinggang Shen:
Online Discriminative Multi-atlas Learning for Isointense Infant Brain Segmentation. MLMI 2014: 297-305
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Guorong Wu, Dinggang Shen:
Hierarchical Label Fusion with Multiscale Feature Representation and Label-Specific Patch Partition. MICCAI (1) 2014: 299-306
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Rongjian Li, Wenlu Zhang, Heung-Il Suk, Li Wang, Jiang Li, Dinggang Shen, Shuiwang Ji:
Deep Learning Based Imaging Data Completion for Improved Brain Disease Diagnosis. MICCAI (3) 2014: 305-312
[c209]
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Yanrong Guo, Guorong Wu, Leah A. Commander, Stephanie Szary, Valerie Jewells, Weili Lin, Dinggang Shen:
Segmenting Hippocampus from Infant Brains by Sparse Patch Matching with Deep-Learned Features. MICCAI (2) 2014: 308-315
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Chunjun Qian, Li Wang, Ambereen Yousuf, Aytekin Oto, Dinggang Shen:
In Vivo MRI Based Prostate Cancer Identification with Random Forests and Auto-context Model. MLMI 2014: 314-322
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Luping Zhou, Lei Wang, Lingqiao Liu, Philip Ogunbona, Dinggang Shen:
Max-Margin Based Learning for Discriminative Bayesian Network from Neuroimaging Data. MICCAI (3) 2014: 321-328
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Lichi Zhang, Qian Wang, Yaozong Gao, Guorong Wu, Dinggang Shen:
Learning of Atlas Forest Hierarchy for Automatic Labeling of MR Brain Images. MLMI 2014: 323-330
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Heung-Il Suk, Dinggang Shen:
Clustering-Induced Multi-task Learning for AD/MCI Classification. MICCAI (3) 2014: 393-400
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Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen:
A Novel Multi-relation Regularization Method for Regression and Classification in AD Diagnosis. MICCAI (3) 2014: 401-408
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Biao Jie, Dinggang Shen, Daoqiang Zhang:
Brain Connectivity Hyper-Network for MCI Classification. MICCAI (2) 2014: 724-732
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Dinggang Shen, Chong-Yaw Wee, Daoqiang Zhang, Luping Zhou, Pew-Thian Yap:
Machine Learning Techniques for AD/MCI Diagnosis and Prognosis. Machine Learning in Healthcare Informatics 2014: 147-179
2013
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Pingkun Yan, Kenji Suzuki, Fei Wang, Dinggang Shen:
Machine learning in medical imaging. Mach. Vis. Appl. 24(7): 1327-1329 (2013)
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Yimei Li, John H. Gilmore, Dinggang Shen, Martin Styner, Weili Lin, Hongtu Zhu:
Multiscale adaptive generalized estimating equations for longitudinal neuroimaging data. NeuroImage 72: 91-105 (2013)
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Jingxin Nie, Gang Li, Dinggang Shen:
Development of cortical anatomical properties from early childhood to early adulthood. NeuroImage 76: 216-224 (2013)
[j99]
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Minjeong Kim, Guorong Wu, Wei Li, Li Wang, Young-Don Son, Zang-Hee Cho, Dinggang Shen:
Automatic hippocampus segmentation of 7.0 Tesla MR images by combining multiple atlases and auto-context models. NeuroImage 83: 335-345 (2013)
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Jingxin Nie, Dinggang Shen:
Automated Segmentation of Mouse Brain Images Using Multi-Atlas Multi-ROI Deformation and Label Fusion. Neuroinformatics 11(1): 35-45 (2013)
[j97]
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Yakang Dai, Feng Shi, Li Wang, Guorong Wu, Dinggang Shen:
iBEAT: A Toolbox for Infant Brain Magnetic Resonance Image Processing. Neuroinformatics 11(2): 211-225 (2013)
[j96]
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Xintao Hu, Dajiang Zhu, Peili Lv, Kaiming Li, Junwei Han, Lihong Wang, Dinggang Shen, Lei Guo, Tianming Liu:
Fine-Granularity Functional Interaction Signatures for Characterization of Brain Conditions. Neuroinformatics 11(3): 301-317 (2013)
[j95]
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Bo Cheng, Daoqiang Zhang, Songcan Chen, Daniel Kaufer, Dinggang Shen:
Semi-Supervised Multimodal Relevance Vector Regression Improves Cognitive Performance Estimation from Imaging and Biological Biomarkers. Neuroinformatics 11(3): 339-353 (2013)
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Yanrong Guo, Guorong Wu, Jianguo Jiang, Dinggang Shen:
Robust Anatomical Correspondence Detection by Hierarchical Sparse Graph Matching. IEEE Trans. Medical Imaging 32(2): 268-277 (2013)
[j93]
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Shu Liao, Yaozong Gao, Jun Lian, Dinggang Shen:
Sparse Patch-Based Label Propagation for Accurate Prostate Localization in CT Images. IEEE Trans. Medical Imaging 32(2): 419-434 (2013)
[j92]
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Hanbo Chen, Kaiming Li, Dajiang Zhu, Xi Jiang, Yixuan Yuan, Peili Lv, Tuo Zhang, Lei Guo, Dinggang Shen, Tianming Liu:
Inferring Group-Wise Consistent Multimodal Brain Networks via Multi-View Spectral Clustering. IEEE Trans. Medical Imaging 32(9): 1576-1586 (2013)
[c202]
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Yinghuan Shi, Shu Liao, Yaozong Gao, Daoqiang Zhang, Yang Gao, Dinggang Shen:
Prostate Segmentation in CT Images via Spatial-Constrained Transductive Lasso. CVPR 2013: 2227-2234
[c201]
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Luping Zhou, Lei Wang, Lingqiao Liu, Philip Ogunbona, Dinggang Shen:
Discriminative Brain Effective Connectivity Analysis for Alzheimer's Disease: A Kernel Learning Approach upon Sparse Gaussian Bayesian Network. CVPR 2013: 2243-2250
[c200]
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Shihui Ying, Guorong Wu, Qian Wang, Dinggang Shen:
Groupwise Registration via Graph Shrinkage on the Image Manifold. CVPR 2013: 2323-2330
[c199]
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Dajiang Zhu, Xiang Li, Xi Jiang, Hanbo Chen, Dinggang Shen, Tianming Liu:
Exploring High-Order Functional Interactions via Structurally-Weighted LASSO Models. IPMI 2013: 13-24
[c198]
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Pew-Thian Yap, Hongyu An, Yasheng Chen, Dinggang Shen:
The Non-Local Bootstrap - Estimation of Uncertainty in Diffusion MRI. IPMI 2013: 390-401
[c197]
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Qian Wang, Minjeong Kim, Guorong Wu, Dinggang Shen:
Joint Learning of Appearance and Transformation for Predicting Brain MR Image Registration. IPMI 2013: 499-510
[c196]
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Shu Liao, Yaozong Gao, Yinghuan Shi, Ambereen Yousuf, Ibrahim Karademir, Aytekin Oto, Dinggang Shen:
Automatic Prostate MR Image Segmentation with Sparse Label Propagation and Domain-Specific Manifold Regularization. IPMI 2013: 511-523
[c195]
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Yanrong Guo, Yiqiang Zhan, Yaozong Gao, Jianguo Jiang, Dinggang Shen:
MR prostate segmentation via distributed discriminative dictionary (DDD) learning. ISBI 2013: 868-871
[c194]
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Dajiang Zhu, Dinggang Shen, Tianming Liu:
Inferring functional network-based signatures via structurally-weighted LASSO model. ISBI 2013: 970-973
[c193]
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Shihui Ying, Guorong Wu, Shu Liao, Dinggang Shen:
Inter-group image registration by hierarchical graph shrinkage. ISBI 2013: 1030-1033
[c192]
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Li Wang, Feng Shi, Gang Li, Weili Lin, John H. Gilmore, Dinggang Shen:
Patch-driven neonatal brain MRI segmentation with sparse representation and level sets. ISBI 2013: 1090-1093
[c191]
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Yaping Wang, Manhua Liu, Lei Guo, Dinggang Shen:
Kernel-based multi-task joint sparse classification for Alzheimer'S disease. ISBI 2013: 1364-1367
[c190]
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Gang Li, Jingxin Nie, Li Wang, Feng Shi, John H. Gilmore, Weili Lin, Dinggang Shen:
Measuring longitudinally dynamic cortex development in infants by reconstruction of consistent cortical surfaces. ISBI 2013: 1380-1383
[c189]
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Minjeong Kim, Guorong Wu, Dinggang Shen:
Unsupervised Deep Learning for Hippocampus Segmentation in 7.0 Tesla MR Images. MLMI 2013: 1-8
[c188]
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Biao Jie, Daoqiang Zhang, Heung-Il Suk, Chong-Yaw Wee, Dinggang Shen:
Integrating Multiple Network Properties for MCI Identification. MLMI 2013: 9-16
[c187]
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Pei Zhang, Marc Niethammer, Dinggang Shen, Pew-Thian Yap:
Large Deformation Diffeomorphic Registration of Diffusion-Weighted Images with Explicit Orientation Optimization. MICCAI (2) 2013: 27-34
[c186]
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Gang Li, Li Wang, Feng Shi, Weili Lin, Dinggang Shen:
Multi-atlas Based Simultaneous Labeling of Longitudinal Dynamic Cortical Surfaces in Infants. MICCAI (1) 2013: 58-65
[c185]
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Jian Cheng, Rachid Deriche, Tianzi Jiang, Dinggang Shen, Pew-Thian Yap:
Non-negative Spherical Deconvolution (NNSD) for Fiber Orientation Distribution Function Estimation. CDMRI/MMBC@MICCAI 2013: 81-93
[c184]
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Heung-Il Suk, Chong-Yaw Wee, Dinggang Shen:
Discriminative Group Sparse Representation for Mild Cognitive Impairment Classification. MLMI 2013: 131-138
[c183]
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Arnav Bhavsar, Guorong Wu, Dinggang Shen:
Harnessing Group-Sparsity Regularization for Resolution Enhancement of Lung 4D-CT. MICCAI (3) 2013: 139-146
[c182]
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Chong-Yaw Wee, Sen Yang, Pew-Thian Yap, Dinggang Shen:
Temporally Dynamic Resting-State Functional Connectivity Networks for Early MCI Identification. MLMI 2013: 139-146
[c181]
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Pew-Thian Yap, Hongyu An, Yasheng Chen, Dinggang Shen:
Estimating Uncertainty in White Matter Tractography Using Wild Non-local Bootstrap. CDMRI/MMBC@MICCAI 2013: 139-148
[c180]
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Minjeong Kim, Guorong Wu, Qian Wang, Dinggang Shen:
Brain-Cloud: A Generalized and Flexible Registration Framework for Brain MR Images. AE-CAI 2013: 153-161
[c179]
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Feng Shi, Jian Cheng, Li Wang, Pew-Thian Yap, Dinggang Shen:
Low-Rank Total Variation for Image Super-Resolution. MICCAI (1) 2013: 155-162
[c178]
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Kim-Han Thung, Chong-Yaw Wee, Pew-Thian Yap, Dinggang Shen:
Identification of Alzheimer's Disease Using Incomplete Multimodal Dataset via Matrix Shrinkage and Completion. MLMI 2013: 163-170
[c177]
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Manhua Liu, Heung-Il Suk, Dinggang Shen:
Multi-task Sparse Classifier for Diagnosis of MCI Conversion to AD with Longitudinal MR Images. MLMI 2013: 243-250
[c176]
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Bo Cheng, Daoqiang Zhang, Biao Jie, Dinggang Shen:
Sparse Multimodal Manifold-Regularized Transfer Learning for MCI Conversion Prediction. MLMI 2013: 251-259
[c175]
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Li Wang, Ken-Chung Chen, Feng Shi, Shu Liao, Gang Li, Yaozong Gao, Steve G. Shen, Jin Yan, Philip K. M. Lee, Ben Chow, Nancy X. Liu, James J. Xia, Dinggang Shen:
Automated Segmentation of CBCT Image Using Spiral CT Atlases and Convex Optimization. MICCAI (3) 2013: 251-258
[c174]
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Shu Liao, Yaozong Gao, Aytekin Oto, Dinggang Shen:
Representation Learning: A Unified Deep Learning Framework for Automatic Prostate MR Segmentation. MICCAI (2) 2013: 254-261
[c173]
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Biao Jie, Daoqiang Zhang, Bo Cheng, Dinggang Shen:
Manifold Regularized Multi-Task Feature Selection for Multi-Modality Classification in Alzheimer's Disease. MICCAI (1) 2013: 275-283
[c172]
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Pei Zhang, Chong-Yaw Wee, Marc Niethammer, Dinggang Shen, Pew-Thian Yap:
Large Deformation Image Classification Using Generalized Locality-Constrained Linear Coding. MICCAI (1) 2013: 292-299
[c171]
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Feng Liu, Chong-Yaw Wee, Huafu Chen, Dinggang Shen:
Inter-modality Relationship Constrained Multi-Task Feature Selection for AD/MCI Classification. MICCAI (1) 2013: 308-315
[c170]
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Feng Liu, Heung-Il Suk, Chong-Yaw Wee, Huafu Chen, Dinggang Shen:
High-Order Graph Matching Based Feature Selection for Alzheimer's Disease Identification. MICCAI (2) 2013: 311-318
[c169]
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Chong-Yaw Wee, Yang Li, Biao Jie, Zi-Wen Peng, Dinggang Shen:
Identification of MCI Using Optimal Sparse MAR Modeled Effective Connectivity Networks. MICCAI (2) 2013: 319-327
[c168]
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Yaozong Gao, Yiqiang Zhan, Dinggang Shen:
Incremental Learning with Selective Memory (ILSM): Towards Fast Prostate Localization for Image Guided Radiotherapy. MICCAI (2) 2013: 378-386
[c167]
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Pew-Thian Yap, Hongyu An, Yasheng Chen, Dinggang Shen:
A Generative Model for Resolution Enhancement of Diffusion MRI Data. MICCAI (3) 2013: 527-534
[c166]
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Guorong Wu, Qian Wang, Shu Liao, Daoqiang Zhang, Feiping Nie, Dinggang Shen:
Minimizing Joint Risk of Mislabeling for Iterative Patch-Based Label Fusion. MICCAI (3) 2013: 551-558
[c165]
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Heung-Il Suk, Dinggang Shen:
Deep Learning-Based Feature Representation for AD/MCI Classification. MICCAI (2) 2013: 583-590
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Jian Cheng, Tianzi Jiang, Rachid Deriche, Dinggang Shen, Pew-Thian Yap:
Regularized Spherical Polar Fourier Diffusion MRI with Optimal Dictionary Learning. MICCAI (1) 2013: 639-646
[c163]
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Guorong Wu, Minjeong Kim, Qian Wang, Yaozong Gao, Shu Liao, Dinggang Shen:
Unsupervised Deep Feature Learning for Deformable Registration of MR Brain Images. MICCAI (2) 2013: 649-656
[c162]
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Xi Jiang, Dajiang Zhu, Kaiming Li, Tuo Zhang, Dinggang Shen, Lei Guo, Tianming Liu:
Predictive Models of Resting State Networks for Assessment of Altered Functional Connectivity in MCI. MICCAI (2) 2013: 674-681
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Li Wang, Feng Shi, Gang Li, Weili Lin, John H. Gilmore, Dinggang Shen:
Integration of Sparse Multi-modality Representation and Geometrical Constraint for Isointense Infant Brain Segmentation. MICCAI (1) 2013: 703-710
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Yaping Wang, Gang Li, Jingxin Nie, Pew-Thian Yap, Lei Guo, Dinggang Shen:
Consistent 4D brain extraction of serial brain MR images. Medical Imaging: Image Processing 2013: 86693I
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Li Shen, Tianming Liu, Pew-Thian Yap, Heng Huang, Dinggang Shen, Carl-Fredrik Westin:
Multimodal Brain Image Analysis - Third International Workshop, MBIA 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013, Proceedings. Lecture Notes in Computer Science 8159, Springer 2013, ISBN 978-3-319-02125-6 [contents]
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Guorong Wu, Daoqiang Zhang, Dinggang Shen, Pingkun Yan, Kenji Suzuki, Fei Wang:
Machine Learning in Medical Imaging - 4th International Workshop, MLMI 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013. Proceedings. Lecture Notes in Computer Science 8184, Springer 2013, ISBN 978-3-319-02266-6 [contents]
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Jian Cheng, Tianzi Jiang, Rachid Deriche, Dinggang Shen, Pew-Thian Yap:
Regularized Spherical Polar Fourier Diffusion MRI with Optimal Dictionary Learning. CoRR abs/1307.0776 (2013)
2012
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Hongjun Jia, Guorong Wu, Qian Wang, Yaping Wang, Minjeong Kim, Dinggang Shen:
Directed graph based image registration. Comput. Medical Imaging Graph. 36(2): 139-151 (2012)
[j90]
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Kenji Suzuki, Pingkun Yan, Fei Wang, Dinggang Shen:
Machine Learning in Medical Imaging. Int. J. Biomed. Imaging 2012: 123727:1-123727:2 (2012)
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Guorong Wu, Qian Wang, Dinggang Shen:
Registration of longitudinal brain image sequences with implicit template and spatial-temporal heuristics. NeuroImage 59(1): 404-421 (2012)
[j88]
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Hongjun Jia, Pew-Thian Yap, Dinggang Shen:
Iterative multi-atlas-based multi-image segmentation with tree-based registration. NeuroImage 59(1): 422-430 (2012)
[j87]
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Daoqiang Zhang, Dinggang Shen:
Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease. NeuroImage 59(2): 895-907 (2012)
[j86]
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Shu Liao, Hongjun Jia, Guorong Wu, Dinggang Shen:
A novel framework for longitudinal atlas construction with groupwise registration of subject image sequences. NeuroImage 59(2): 1275-1289 (2012)
[j85]
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Chong-Yaw Wee, Pew-Thian Yap, Daoqiang Zhang, Kevin Denny, Jeffrey N. Browndyke, Guy G. Potter, Kathleen Welsh-Bohmer, Lihong Wang, Dinggang Shen:
Identification of MCI individuals using structural and functional connectivity networks. NeuroImage 59(3): 2045-2056 (2012)
[j84]
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Gang Li, Jingxin Nie, Guorong Wu, Yaping Wang, Dinggang Shen:
Consistent reconstruction of cortical surfaces from longitudinal brain MR images. NeuroImage 59(4): 3805-3820 (2012)
[j83]
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Manhua Liu, Daoqiang Zhang, Dinggang Shen:
Ensemble sparse classification of Alzheimer's disease. NeuroImage 60(2): 1106-1116 (2012)
[j82]
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Feng Shi, Pew-Thian Yap, Wei Gao, Weili Lin, John H. Gilmore, Dinggang Shen:
Altered structural connectivity in neonates at genetic risk for schizophrenia: A combined study using morphological and white matter networks. NeuroImage 62(3): 1622-1633 (2012)
[j81]
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Feng Shi, Li Wang, Yakang Dai, John H. Gilmore, Weili Lin, Dinggang Shen:
LABEL: Pediatric brain extraction using learning-based meta-algorithm. NeuroImage 62(3): 1975-1986 (2012)
[j80]
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Daoqiang Zhang, Dinggang Shen:
Erratum to multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease [Neuroimage 59/2 (2012) 895-907]. NeuroImage 62(3): 2179 (2012)
[j79]
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Shu Liao, Guorong Wu, Dinggang Shen:
A Statistical Framework for Inter-Group Image Registration. Neuroinformatics 10(4): 367-378 (2012)
[j78]
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Minjeong Kim, Guorong Wu, Pew-Thian Yap, Dinggang Shen:
A General Fast Registration Framework by Learning Deformation-Appearance Correlation. IEEE Trans. Image Process. 21(4): 1823-1833 (2012)
[j77]
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Shu Liao, Dinggang Shen:
A Feature-Based Learning Framework for Accurate Prostate Localization in CT Images. IEEE Trans. Image Process. 21(8): 3546-3559 (2012)
[j76]
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Yu Zhang, Guorong Wu, Pew-Thian Yap, Qianjin Feng, Jun Lian, Wufan Chen, Dinggang Shen:
Hierarchical Patch-Based Sparse Representation - A New Approach for Resolution Enhancement of 4D-CT Lung Data. IEEE Trans. Medical Imaging 31(11): 1993-2005 (2012)
[j75]
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Pew-Thian Yap, Dinggang Shen:
Spatial Transformation of DWI Data Using Non-Negative Sparse Representation. IEEE Trans. Medical Imaging 31(11): 2035-2049 (2012)
[j74]
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Jie-Zhi Cheng, Chung-Ming Chen, Elodia B. Cole, Etta D. Pisano, Dinggang Shen:
Automated Delineation of Calcified Vessels in Mammography by Tracking With Uncertainty and Graphical Linking Techniques. IEEE Trans. Medical Imaging 31(11): 2143-2155 (2012)
[c159]
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Yu Zhang, Guorong Wu, Pew-Thian Yap, Qianjin Feng, Jun Lian, Wufan Chen, Dinggang Shen:
Reconstruction of super-resolution lung 4D-CT using patch-based sparse representation. CVPR 2012: 925-931
[c158]
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Jie-Zhi Cheng, Chung-Ming Chen, Dinggang Shen:
Identification of breast vascular calcium deposition in digital mammography by linear structure analysis. ISBI 2012: 126-129
[c157]
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Xiujuan Geng, Martin Styner, Aditya Gupta, Dinggang Shen, John H. Gilmore:
Multi-contrast diffusion tensor image registration with structural MRI. ISBI 2012: 684-687
[c156]
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Yinghuan Shi, Shu Liao, Yaozong Gao, Daoqiang Zhang, Yang Gao, Dinggang Shen:
Transductive Prostate Segmentation for CT Image Guided Radiotherapy. MLMI 2012: 1-9
[c155]
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Pew-Thian Yap, Dinggang Shen:
Resolution Enhancement of Diffusion-Weighted Images by Local Fiber Profiling. MICCAI (3) 2012: 18-25
[c154]
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Yanrong Guo, Guorong Wu, Yakang Dai, Jianguo Jiang, Dinggang Shen:
Robust Anatomical Correspondence Detection by Graph Matching with Sparsity Constraint. MCV 2012: 20-28
[c153]
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Manhua Liu, Daoqiang Zhang, Pew-Thian Yap, Dinggang Shen:
Hierarchical Ensemble of Multi-level Classifiers for Diagnosis of Alzheimer's Disease. MLMI 2012: 27-35
[c152]
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Yonghong Shi, Guorong Wu, Zhijian Song, Dinggang Shen:
Dense Deformation Reconstruction via Sparse Coding. MLMI 2012: 36-44
[c151]
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Shu Liao, Daoqiang Zhang, Pew-Thian Yap, Guorong Wu, Dinggang Shen:
Group Sparsity Constrained Automatic Brain Label Propagation. MLMI 2012: 45-53
[c150]
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Minjeong Kim, Guorong Wu, Dinggang Shen:
Sparse Patch-Guided Deformation Estimation for Improved Image Registration. MLMI 2012: 54-62
[c149]
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Li Wang, Feng Shi, Gang Li, Dinggang Shen:
4D Segmentation of Longitudinal Brain MR Images with Consistent Cortical Thickness Measurement. STIA 2012: 63-75
[c148]
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Bo Cheng, Daoqiang Zhang, Dinggang Shen:
Domain Transfer Learning for MCI Conversion Prediction. MICCAI (1) 2012: 82-90
[c147]
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Guorong Wu, Minjeong Kim, Qian Wang, Dinggang Shen:
Hierarchical Attribute-Guided Symmetric Diffeomorphic Registration for MR Brain Images. MICCAI (2) 2012: 90-97
[c146]
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Daoqiang Zhang, Qimiao Guo, Guorong Wu, Dinggang Shen:
Sparse Patch-Based Label Fusion for Multi-Atlas Segmentation. MBIA 2012: 94-102
[c145]
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  - conf/miccai/LiNS12
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Gang Li, Jingxin Nie, Dinggang Shen:
Partition Cortical Surfaces into Supervertices: Method and Application. MeshMed 2012: 112-121
[c144]
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  - conf/miccai/LyuLKS12
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Ilwoo Lyu, Gang Li, Minjeong Kim, Dinggang Shen:
Multiple Atlases-Based Joint Labeling of Human Cortical Sulcal Curves. MCV 2012: 124-132
[c143]
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Pei Zhang, Pew-Thian Yap, Dinggang Shen, Timothy F. Cootes:
Initialising Groupwise Non-rigid Registration Using Multiple Parts+Geometry Models. MICCAI (3) 2012: 156-163
[c142]
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Pei Zhang, Marc Niethammer, Dinggang Shen, Pew-Thian Yap:
Large Deformation Diffeomorphic Registration of Diffusion-Weighted Images. MICCAI (2) 2012: 171-178
[c141]
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Biao Jie, Daoqiang Zhang, Chong-Yaw Wee, Dinggang Shen:
Structural Feature Selection for Connectivity Network-Based MCI Diagnosis. MBIA 2012: 175-184
[c140]
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Yaping Wang, Hongjun Jia, Pew-Thian Yap, Bo Cheng, Chong-Yaw Wee, Lei Guo, Dinggang Shen:
Groupwise Segmentation Improves Neuroimaging Classification Accuracy. MBIA 2012: 185-193
[c139]
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Pew-Thian Yap, Dinggang Shen:
DWI Denoising Using Spatial, Angular, and Radiometric Filtering. MBIA 2012: 194-202
[c138]
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Chong-Yaw Wee, Pew-Thian Yap, Daoqiang Zhang, Lihong Wang, Dinggang Shen:
Constrained Sparse Functional Connectivity Networks for MCI Classification. MICCAI (2) 2012: 212-219
[c137]
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Yu Zhang, Guorong Wu, Pew-Thian Yap, Qianjin Feng, Jun Lian, Wufan Chen, Dinggang Shen:
Non-local Means Resolution Enhancement of Lung 4D-CT Data. MICCAI (1) 2012: 214-222
[c136]
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Manhua Liu, Daoqiang Zhang, Pew-Thian Yap, Dinggang Shen:
Tree-Guided Sparse Coding for Brain Disease Classification. MICCAI (3) 2012: 239-247
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Feng Shi, Li Wang, Guorong Wu, Yu Zhang, Manhua Liu, John H. Gilmore, Weili Lin, Dinggang Shen:
Atlas Construction via Dictionary Learning and Group Sparsity. MICCAI (1) 2012: 247-255
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Daoqiang Zhang, Jun Liu, Dinggang Shen:
Temporally-Constrained Group Sparse Learning for Longitudinal Data Analysis. MICCAI (3) 2012: 264-271
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Pew-Thian Yap, Dinggang Shen:
Spatial Warping of DWI Data Using Sparse Representation. MICCAI (2) 2012: 331-338
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Shu Liao, Yaozong Gao, Dinggang Shen:
Sparse Patch Based Prostate Segmentation in CT Images. MICCAI (3) 2012: 385-392
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Yaozong Gao, Shu Liao, Dinggang Shen:
Prostate Segmentation by Sparse Representation Based Classification. MICCAI (3) 2012: 451-458
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Pew-Thian Yap, Tianming Liu, Dinggang Shen, Carl-Fredrik Westin, Li Shen:
Multimodal Brain Image Analysis - Second International Workshop, MBIA 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1-5, 2012. Proceedings. Lecture Notes in Computer Science 7509, Springer 2012, ISBN 978-3-642-33529-7 [contents]
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Fei Wang, Dinggang Shen, Pingkun Yan, Kenji Suzuki:
Machine Learning in Medical Imaging - Third International Workshop, MLMI 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012, Revised Selected Papers. Lecture Notes in Computer Science 7588, Springer 2012, ISBN 978-3-642-35427-4 [contents]
2011
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Zhong Xue, Dinggang Shen, Hai Li, Stephen T. C. Wong:
Tissue probability map constrained 4D clustering algorithm for increased accuracy and robustness in SerialMR brain image segmentation. Int. J. Medical Eng. Informatics 3(3): 286-298 (2011)
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Hongjun Jia, Pew-Thian Yap, Guorong Wu, Qian Wang, Dinggang Shen:
Intermediate templates guided groupwise registration of diffusion tensor images. NeuroImage 54(2): 928-939 (2011)
[j71]
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Chong-Yaw Wee, Pew-Thian Yap, Wenbin Li, Kevin Denny, Jeffrey N. Browndyke, Guy G. Potter, Kathleen Welsh-Bohmer, Lihong Wang, Dinggang Shen:
Enriched white matter connectivity networks for accurate identification of MCI patients. NeuroImage 54(3): 1812-1822 (2011)
[j70]
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Yong Fan, Feng Shi, Jeffrey Keith Smith, Weili Lin, John H. Gilmore, Dinggang Shen:
Brain anatomical networks in early human brain development. NeuroImage 54(3): 1862-1871 (2011)
[j69]
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Pew-Thian Yap, Yasheng Chen, Hongyu An, Yang Yang, John H. Gilmore, Weili Lin, Dinggang Shen:
SPHERE: SPherical Harmonic Elastic REgistration of HARDI data. NeuroImage 55(2): 545-556 (2011)
[j68]
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Daoqiang Zhang, Yaping Wang, Luping Zhou, Hong Yuan, Dinggang Shen:
Multimodal classification of Alzheimer's disease and mild cognitive impairment. NeuroImage 55(3): 856-867 (2011)
[j67]
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Martha Skup, Hongtu Zhu, Yaping Wang, Kelly S. Giovanello, Ja-an Lin, Dinggang Shen, Feng Shi, Wei Gao, Weili Lin, Yong Fan, Heping Zhang:
Sex differences in grey matter atrophy patterns among AD and aMCI patients: Results from ADNI. NeuroImage 56(3): 890-906 (2011)
[j66]
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Guorong Wu, Hongjun Jia, Qian Wang, Dinggang Shen:
SharpMean: Groupwise registration guided by sharp mean image and tree-based registration. NeuroImage 56(4): 1968-1981 (2011)
[j65]
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Gang Li, Dinggang Shen:
Consistent sulcal parcellation of longitudinal cortical surfaces. NeuroImage 57(1): 76-88 (2011)
[j64]
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Li Wang, Feng Shi, Weili Lin, John H. Gilmore, Dinggang Shen:
Automatic segmentation of neonatal images using convex optimization and coupled level sets. NeuroImage 58(3): 805-817 (2011)
[j63]
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Yasheng Chen, Hongyu An, Hongtu Zhu, Valerie Jewells, Diane Armao, Dinggang Shen, John H. Gilmore, Weili Lin:
Longitudinal regression analysis of spatial-temporal growth patterns of geometrical diffusion measures in early postnatal brain development with diffusion tensor imaging. NeuroImage 58(4): 993-1005 (2011)
[j62]
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Pew-Thian Yap, John H. Gilmore, Weili Lin, Dinggang Shen:
PopTract: Population-Based Tractography. IEEE Trans. Medical Imaging 30(10): 1829-1840 (2011)
[c130]
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Luping Zhou, Yaping Wang, Yang Li, Pew-Thian Yap, Dinggang Shen:
Hierarchical anatomical brain networks for MCI prediction by partial least square analysis. CVPR 2011: 1073-1080
[c129]
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Shu Liao, Hongjun Jia, Guorong Wu, Dinggang Shen:
A Novel Longitudinal Atlas Construction Framework by Groupwise Registration of Subject Image Sequences. IPMI 2011: 283-295
[c128]
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Guorong Wu, Qian Wang, Jun Lian, Dinggang Shen:
Reconstruction of 4D-CT from a Single Free-Breathing 3D-CT by Spatial-Temporal Image Registration. IPMI 2011: 686-698
[c127]
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Gang Li, Yang Li, Yaping Wang, Dinggang Shen:
Consistent sulcal parcellation of longitudinal cortical surfaces. ISBI 2011: 337-340
[c126]
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Minjeong Kim, Guorong Wu, Dinggang Shen:
Groupwise registration of breast DCE-MR images for accurate tumor measurement. ISBI 2011: 598-601
[c125]
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Hongjun Jia, Guorong Wu, Qian Wang, Minjeong Kim, Dinggang Shen:
iTree: Fast and accurate image registration based on the combinative and incremental tree. ISBI 2011: 1243-1246
[c124]
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Yaping Wang, Paul Chastain, Pew-Thian Yap, Jie-Zhi Cheng, David Kaufman, Lei Guo, Dinggang Shen:
Automated DNA fiber tracking and measurement. ISBI 2011: 1349-1352
[c123]
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Daoqiang Zhang, Dinggang Shen:
Semi-supervised multimodal classification of alzheimer's disease. ISBI 2011: 1628-1631
[c122]
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Luping Zhou, Shu Liao, Wei Li, Dinggang Shen:
Learning-based prostate localization for image guided radiation therapy. ISBI 2011: 2103-2106
[c121]
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Shu Liao, Dinggang Shen:
A Learning Based Hierarchical Framework for Automatic Prostate Localization in CT Images. Prostate Cancer Imaging 2011: 1-9
[c120]
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Yonghong Shi, Shu Liao, Dinggang Shen:
Learning Statistical Correlation of Prostate Deformations for Fast Registration. MLMI 2011: 1-9
[c119]
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Qian Wang, Pew-Thian Yap, Guorong Wu, Dinggang Shen:
Fiber Modeling and Clustering Based on Neuroanatomical Features. MICCAI (2) 2011: 17-24
[c118]
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Daoqiang Zhang, Dinggang Shen:
Multi-Modal Multi-Task Learning for Joint Prediction of Clinical Scores in Alzheimer's Disease. MBIA 2011: 60-67
[c117]
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Pew-Thian Yap, John H. Gilmore, Weili Lin, Dinggang Shen:
Longitudinal Tractography with Application to Neuronal Fiber Trajectory Reconstruction in Neonates. MICCAI (2) 2011: 66-73
[c116]
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Li Wang, Feng Shi, Pew-Thian Yap, John H. Gilmore, Weili Lin, Dinggang Shen:
Accurate and Consistent 4D Segmentation of Serial Infant Brain MR Images. MBIA 2011: 93-101
[c115]
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Minjeong Kim, Guorong Wu, Wei Li, Li Wang, Young-Don Son, Zang-Hee Cho, Dinggang Shen:
Segmenting Hippocampus from 7.0 Tesla MR Images by Combining Multiple Atlases and Auto-Context Models. MLMI 2011: 100-108
[c114]
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Pew-Thian Yap, John H. Gilmore, Weili Lin, Dinggang Shen:
Reconstruction of Fiber Trajectories via Population-Based Estimation of Local Orientations. MICCAI (2) 2011: 133-140
[c113]
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Hongjun Jia, Guorong Wu, Qian Wang, Yaping Wang, Minjeong Kim, Dinggang Shen:
Directed Graph Based Image Registration. MLMI 2011: 175-183
[c112]
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Qian Wang, Pew-Thian Yap, Guorong Wu, Dinggang Shen:
Diffusion Tensor Image Registration with Combined Tract and Tensor Features. MICCAI (2) 2011: 200-208
[c111]
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Bo Cheng, Daoqiang Zhang, Songcan Chen, Dinggang Shen:
Predicting Clinical Scores Using Semi-supervised Multimodal Relevance Vector Regression. MLMI 2011: 241-248
[c110]
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Chong-Yaw Wee, Pew-Thian Yap, Daoqiang Zhang, Kevin Denny, Lihong Wang, Dinggang Shen:
Identification of Individuals with MCI via Multimodality Connectivity Networks. MICCAI (2) 2011: 277-284
[c109]
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Feng Shi, Li Wang, John H. Gilmore, Weili Lin, Dinggang Shen:
Learning-Based Meta-Algorithm for MRI Brain Extraction. MICCAI (3) 2011: 313-321
[c108]
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Daoqiang Zhang, Dinggang Shen:
MultiCost: Multi-stage Cost-sensitive Classification of Alzheimer's Disease. MLMI 2011: 344-351
[c107]
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Guorong Wu, Qian Wang, Jun Lian, Dinggang Shen:
Estimating the 4D Respiratory Lung Motion by Spatiotemporal Registration and Building Super-Resolution Image. MICCAI (1) 2011: 532-539
[c106]
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Wei Li, Shu Liao, Qianjin Feng, Wufan Chen, Dinggang Shen:
Learning Image Context for Segmentation of Prostate in CT-Guided Radiotherapy. MICCAI (3) 2011: 570-578
[c105]
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Yaping Wang, Jingxin Nie, Pew-Thian Yap, Feng Shi, Lei Guo, Dinggang Shen:
Robust Deformable-Surface-Based Skull-Stripping for Large-Scale Studies. MICCAI (3) 2011: 635-642
[c104]
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Daoqiang Zhang, Guorong Wu, Hongjun Jia, Dinggang Shen:
Confidence-Guided Sequential Label Fusion for Multi-atlas Based Segmentation. MICCAI (3) 2011: 643-650
[c103]
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Gang Li, Jingxin Nie, Dinggang Shen:
Consistent Reconstruction of Cortical Surfaces from Longitudinal Brain MR Images. MICCAI (2) 2011: 671-679
[e4]
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Kenji Suzuki, Fei Wang, Dinggang Shen, Pingkun Yan:
Machine Learning in Medical Imaging - Second International Workshop, MLMI 2011, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 18, 2011. Proceedings. Lecture Notes in Computer Science 7009, Springer 2011, ISBN 978-3-642-24318-9 [contents]
[e3]
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Tianming Liu, Dinggang Shen, Luis Ibáñez, Xiaodong Tao:
Multimodal Brain Image Analysis, First International Workshop, MBIA 2011, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 18, 2011. Proceedings. Lecture Notes in Computer Science 7012, Springer 2011, ISBN 978-3-642-24445-2 [contents]
2010
[j61]
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Feng Shi, Yong Fan, Songyuan Tang, John H. Gilmore, Weili Lin, Dinggang Shen:
Neonatal brain image segmentation in longitudinal MRI studies. NeuroImage 49(1): 391-400 (2010)
[j60]
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Guorong Wu, Pew-Thian Yap, Minjeong Kim, Dinggang Shen:
TPS-HAMMER: Improving HAMMER registration algorithm by soft correspondence matching and thin-plate splines based deformation interpolation. NeuroImage 49(3): 2225-2233 (2010)
[j59]
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Qian Wang, Guorong Wu, Pew-Thian Yap, Dinggang Shen:
Attribute vector guided groupwise registration. NeuroImage 50(4): 1485-1496 (2010)
[j58]
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Feng Shi, Pew-Thian Yap, Yong Fan, John H. Gilmore, Weili Lin, Dinggang Shen:
Construction of multi-region-multi-reference atlases for neonatal brain MRI segmentation. NeuroImage 51(2): 684-693 (2010)
[j57]
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Hongjun Jia, Guorong Wu, Qian Wang, Dinggang Shen:
ABSORB: Atlas building by self-organized registration and bundling. NeuroImage 51(3): 1057-1070 (2010)
[j56]
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Pew-Thian Yap, Guorong Wu, Dinggang Shen:
Human Brain Connectomics: Networks, Techniques, and Applications [Life Sciences]. IEEE Signal Process. Mag. 27(4): 131-134 (2010)
[j55]
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Pew-Thian Yap, Guorong Wu, Hongtu Zhu, Weili Lin, Dinggang Shen:
F-TIMER: Fast Tensor Image Morphing for Elastic Registration. IEEE Trans. Medical Imaging 29(5): 1192-1203 (2010)
[c102]
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  - conf/cvpr/JiaWWS10
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Hongjun Jia, Guorong Wu, Qian Wang, Dinggang Shen:
ABSORB: Atlas building by Self-Organized Registration and Bundling. CVPR 2010: 2785-2790
[c101]
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Guorong Wu, Pew-Thian Yap, Qian Wang, Dinggang Shen:
Groupwise registration from exemplar to group mean: xtending HAMMER to groupwise registration. ISBI 2010: 396-399
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Yong Fan, Daniel Kaufer, Dinggang Shen:
Joint estimation of multiple clinical variables of neurological diseases from imaging patterns. ISBI 2010: 852-855
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Feng Shi, Pew-Thian Yap, Yong Fan, John H. Gilmore, Weili Lin, Dinggang Shen:
Neonatal brain MRI segmentation by building multi-region-multireference atlases. ISBI 2010: 964-967
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Li Wang, Feng Shi, John H. Gilmore, Weili Lin, Dinggang Shen:
Automatic Segmentation of Neonatal Images Using Convex Optimization and Coupled Level Set Method. MIAR 2010: 1-10
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Feng Shi, Pew-Thian Yap, John H. Gilmore, Weili Lin, Dinggang Shen:
Spatial-Temporal Constraint for Segmentation of Serial Infant Brain MR Images. MIAR 2010: 42-50
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Pew-Thian Yap, Yasheng Chen, Hongyu An, John H. Gilmore, Weili Lin, Dinggang Shen:
Hierachical Spherical Harmonics Based Deformable HARDI Registration. MIAR 2010: 228-236
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Qian Wang, Pew-Thian Yap, Hongjun Jia, Guorong Wu, Dinggang Shen:
Hierarchical Fiber Clustering Based on Multi-Scale Neuroanatomical Features. MIAR 2010: 448-456
[c94]
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Yang Li, Yaping Wang, Zhong Xue, Feng Shi, Weili Lin, Dinggang Shen:
The Alzheimer's Disease Neuroimaging Initiative: Consistent 4D Cortical Thickness Measurement for Longitudinal Neuroimaging Study. MICCAI (2) 2010: 133-142
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Chong-Yaw Wee, Pew-Thian Yap, Jeffery N. Browndyke, Guy G. Potter, David C. Steffens, Kathleen Welsh-Bohmer, Lihong Wang, Dinggang Shen:
Accurate Identification of MCI Patients via Enriched White-Matter Connectivity Network. MLMI 2010: 140-147
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Yasheng Chen, Songbai Ji, Xunlei Wu, Hongyu An, Hongtu Zhu, Dinggang Shen, Weili Lin:
Simulation of Brain Mass Effect with an Arbitrary Lagrangian and Eulerian FEM. MICCAI (2) 2010: 274-281
[c91]
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Minjeong Kim, Guorong Wu, Pew-Thian Yap, Dinggang Shen:
A Generalized Learning Based Framework for Fast Brain Image Registration. MICCAI (2) 2010: 306-314
[c90]
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Pahal Dalal, Feng Shi, Dinggang Shen, Song Wang:
Multiple Cortical Surface Correspondence Using Pairwise Shape Similarity. MICCAI (1) 2010: 349-356
[c89]
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Guorong Wu, Hongjun Jia, Qian Wang, Dinggang Shen:
Groupwise Registration with Sharp Mean. MICCAI (2) 2010: 570-577
[c88]
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Guorong Wu, Qian Wang, Hongjun Jia, Dinggang Shen:
Registration of Longitudinal Image Sequences with Implicit Template and Spatial-Temporal Heuristics. MICCAI (2) 2010: 618-625
[c87]
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Guorong Wu, Qian Wang, Hongjun Jia, Dinggang Shen:
Groupwise Registration by Hierarchical Anatomical Correspondence Detection. MICCAI (2) 2010: 684-691
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Fei Wang, Pingkun Yan, Kenji Suzuki, Dinggang Shen:
Machine Learning in Medical Imaging, First International Workshop, MLMI 2010, Held in Conjunction with MICCAI 2010, Beijing, China, September 20, 2010. Proceedings. Lecture Notes in Computer Science 6357, Springer 2010, ISBN 978-3-642-15947-3 [contents]

2000 – 2009

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2009
[j54]
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Zhong Xue, Dinggang Shen:
A new statistically-constrained deformable registration framework for MR brain images. Int. J. Medical Eng. Informatics 1(3): 357-367 (2009)
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Yangming Ou, Dinggang Shen, Jianchao Zeng, Leon Sun, Judd W. Moul, Christos Davatzikos:
Sampling the spatial patterns of cancer: Optimized biopsy procedures for estimating prostate cancer volume and Gleason Score. Medical Image Anal. 13(4): 609-620 (2009)
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  - journals/neuroimage/ZacharakiHSBD09a
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Evangelia I. Zacharaki, Cosmina Hogea, Dinggang Shen, George Biros, Christos Davatzikos:
Non-diffeomorphic registration of brain tumor images by simulating tissue loss and tumor growth. NeuroImage 46(3): 762-774 (2009)
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Pew-Thian Yap, Guorong Wu, Hongtu Zhu, Weili Lin, Dinggang Shen:
TIMER: Tensor Image Morphing for Elastic Registration. NeuroImage 47(2): 549-563 (2009)
[j50]
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Evangelia I. Zacharaki, Cosmina Hogea, Dinggang Shen, George Biros, Christos Davatzikos:
Corrigendum to "Non-diffeomorphic registration of brain tumor images by simulating tissue loss and tumor growth" [NeuroImage 46 (2009) 762-774]. NeuroImage 47(2): 779 (2009)
[j49]
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Yasheng Chen, Hongyu An, Hongtu Zhu, Taylor Stone, J. Keith Smith, Colin Hall, Elizabeth Bullitt, Dinggang Shen, Weili Lin:
White matter abnormalities revealed by diffusion tensor imaging in non-demented and demented HIV+ patients. NeuroImage 47(4): 1154-1162 (2009)
[j48]
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Songyuan Tang, Yong Fan, Guorong Wu, Minjeong Kim, Dinggang Shen:
RABBIT: Rapid alignment of brains by building intermediate templates. NeuroImage 47(4): 1277-1287 (2009)
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Dinggang Shen:
Fast image registration by hierarchical soft correspondence detection. Pattern Recognit. 42(5): 954-961 (2009)
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  - journals/pr/SundarLS09
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Hari Sundar, Harold Litt, Dinggang Shen:
Estimating myocardial motion by 4D image warping. Pattern Recognit. 42(11): 2514-2526 (2009)
[c86]
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Pew-Thian Yap, Guorong Wu, Hongtu Zhu, Weili Lin, Dinggang Shen:
TIMER: Tensor Image Morphing for Elastic Registration. CVPR Workshops 2009: 1-8
[c85]
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Feng Shi, Pew-Thian Yap, Yong Fan, Jie-Zhi Cheng, Lawrence L. Wald, Guido Gerig, Weili Lin, Dinggang Shen:
Cortical enhanced tissue segmentation of neonatal brain MR images acquired by a dedicated phased array coil. CVPR Workshops 2009: 39-45
[c84]
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Songyuan Tang, Yong Fan, Hongtu Zhu, Pew-Thian Yap, Wei Gao, Weili Lin, Dinggang Shen:
Regularization of diffusion tensor field using coupled robust anisotropic diffusion filters. CVPR Workshops 2009: 52-57
[c83]
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Yangming Ou, Dinggang Shen, Michael D. Feldman, John Tomaszewski, Christos Davatzikos:
Non-rigid registration between histological and MR images of the prostate: A joint segmentation and registration framework. CVPR Workshops 2009: 125-132
[c82]
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Hongtu Zhu, Yimei Li, Joseph G. Ibrahim, Weili Lin, Dinggang Shen:
MARM: Multiscale Adaptive Regression Models for Neuroimaging Data. IPMI 2009: 314-325
[c81]
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Jie-Zhi Cheng, Elodia B. Cole, Etta D. Pisano, Dinggang Shen:
Detection of Arterial Calcification in Mammograms by Random Walks. IPMI 2009: 713-724
[c80]
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Yasheng Chen, Hongtu Zhu, Dinggang Shen, Hongyu An, John H. Gilmore, Weili Lin:
Mapping Growth Patterns and Genetic Influences on Early Brain Development in Twins. MICCAI (1) 2009: 232-239
[c79]
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Qian Wang, Pew-Thian Yap, Guorong Wu, Dinggang Shen:
Attribute Vector Guided Groupwise Registration. MICCAI (1) 2009: 656-663
[c78]
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Pew-Thian Yap, Guorong Wu, Hongtu Zhu, Weili Lin, Dinggang Shen:
Fast Tensor Image Morphing for Elastic Registration. MICCAI (1) 2009: 721-729
[c77]
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Yimei Li, Hongtu Zhu, Yasheng Chen, Hongyu An, John H. Gilmore, Weili Lin, Dinggang Shen:
LSTGEE: longitudinal analysis of neuroimaging data. Medical Imaging: Image Processing 2009: 72590F
[c76]
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Qian Wang, Liya Chen, Dinggang Shen:
Group-wise registration of large image dataset by hierarchical clustering and alignment. Medical Imaging: Image Processing 2009: 72590N
[c75]
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Yong Fan, Dinggang Shen:
Integrated feature extraction and selection for neuroimage classification. Medical Imaging: Image Processing 2009: 72591U
[c74]
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  - conf/miip/LiZCIALHS09
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Yimei Li, Hongtu Zhu, Yasheng Chen, Joseph G. Ibrahim, Hongyu An, Weili Lin, Colin Hall, Dinggang Shen:
RADTI: regression analyses of diffusion tensor images. Medical Imaging: Image Processing 2009: 72591C
[c73]
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Yasheng Chen, Dinggang Shen, Hongtu Zhu, Hongyu An, John H. Gilmore, Weili Lin:
Hierarchical unbiased group-wise registration for atlas construction and population comparison. Medical Imaging: Image Processing 2009: 72592V
[c72]
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Zhong Xue, Dinggang Shen, Stephen T. C. Wong:
Tissue probability map constrained CLASSIC for increased accuracy and robustness in serial image segmentation. Medical Imaging: Image Processing 2009: 725904
[c71]
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Songyuan Tang, Yong Fan, Minjeong Kim, Dinggang Shen:
RABBIT: rapid alignment of brains by building intermediate templates. Medical Imaging: Image Processing 2009: 725909
[c70]
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Feng Shi, Yong Fan, Songyuan Tang, John H. Gilmore, Weili Lin, Dinggang Shen:
Brain tissue segmentation of neonatal MR images using a longitudinal subject-specific probabilistic atlas. Medical Imaging: Image Processing 2009: 725942
2008
[j45]
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Hongxia Luan, Feihu Qi, Zhong Xue, Liya Chen, Dinggang Shen:
Multimodality image registration by maximization of quantitative-qualitative measure of mutual information. Pattern Recognit. 41(1): 285-298 (2008)
[j44]
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Yonghong Shi, Feihu Qi, Zhong Xue, Liya Chen, Kyoko Ito, Hidenori Matsuo, Dinggang Shen:
Segmenting Lung Fields in Serial Chest Radiographs Using Both Population-Based and Patient-Specific Shape Statistics. IEEE Trans. Medical Imaging 27(4): 481-494 (2008)
[j43]
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Evangelia I. Zacharaki, Dinggang Shen, Seung-Koo Lee, Christos Davatzikos:
ORBIT: A Multiresolution Framework for Deformable Registration of Brain Tumor Images. IEEE Trans. Medical Imaging 27(8): 1003-1017 (2008)
[c69]
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  - conf/cvpr/KimKS08
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Min-Jeong Kim, Myoung-Hee Kim, Dinggang Shen:
Learning-based deformation estimation for fast non-rigid registration. CVPR Workshops 2008: 1-6
[c68]
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  - conf/ipas/WeiSKTS08
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Liyang Wei, Dinggang Shen, Dinesh K. Kumar, Ram Turlapati, Jasjit S. Suri:
Effect of hierarchical deformable motion compensation on image enhancement for DSA acquired via C-ARM. Image Processing: Algorithms and Systems 2008: 68120
[c67]
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  - conf/ipas/NarayananSDCBWKS08
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Ramkrishnan Narayanan, Dinggang Shen, Christos Davatzikos, E. David Crawford, Albaha Barqawi, Priya N. Werahera, Dinesh K. Kumar, Jasjit S. Suri:
Application of statistical cancer atlas for 3D biopsy. Image Processing: Algorithms and Systems 2008: 681216
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Ramkrishnan Narayanan, Dinggang Shen, Christos Davatzikos, E. David Crawford, Albaha Barqawi, Priya N. Werahera, Dinesh K. Kumar, Jasjit S. Suri:
Application and validation of registration framework for real-time atlas guided biopsy. ISBI 2008: 1175-1178
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Yonghong Shi, Dinggang Shen:
Learning Longitudinal Deformations for Adaptive Segmentation of Lung Fields from Serial Chest Radiographs. MIAR 2008: 413-420
[c64]
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Ye Xing, Zhong Xue, Sarah Englander, Mitchell D. Schnall, Dinggang Shen:
Improving Parenchyma Segmentation by Simultaneous Estimation of Tissue Property T1 Map and Group-Wise Registration of Inversion Recovery MR Breast Images. MICCAI (1) 2008: 342-350
[c63]
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Yonghong Shi, Dinggang Shen:
Hierarchical Shape Statistical Model for Segmentation of Lung Fields in Chest Radiographs. MICCAI (1) 2008: 417-424
[c62]
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Jinzhong Yang, Dinggang Shen, Christos Davatzikos, Ragini Verma:
Diffusion Tensor Image Registration Using Tensor Geometry and Orientation Features. MICCAI (2) 2008: 905-913
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Jaime S. Ide, Rong Chen, Dinggang Shen, Edward Herskovits:
Robust Brain Registration Using Adaptive Probabilistic Atlas. MICCAI (2) 2008: 1041-1049
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Jinzhong Yang, Dinggang Shen, Chandan Misra, Xiaoying Wu, Susan M. Resnick, Christos Davatzikos, Ragini Verma:
Spatial normalization of diffusion tensor images based on anisotropic segmentation. Medical Imaging: Image Processing 2008: 69140L
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Evangelia I. Zacharaki, Cosmina S. Hogea, Dinggang Shen, George Biros, Christos Davatzikos:
Parallel optimization of tumor model parameters for fast registration of brain tumor images. Medical Imaging: Image Processing 2008: 69140K
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Ramkrishnan Narayanan, Dinggang Shen, Christos Davatzikos, E. David Crawford, Albaha Barqawi, Priya N. Werahera, Dinesh K. Kumar, Jasjit S. Suri:
3-D statistical cancer atlas-based targeting of prostate biopsy using ultrasound image guidance. Medical Imaging: Image Processing 2008: 69142X
2007
[j42]
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Yong Fan, Hengyi Rao, Hallam Hurt, Joan M. Giannetta, Marc Korczykowski, David Shera, Brian B. Avants, James C. Gee, Jiongjiong Wang, Dinggang Shen:
Multivariate examination of brain abnormality using both structural and functional MRI. NeuroImage 36(4): 1189-1199 (2007)
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Dinggang Shen:
Image registration by local histogram matching. Pattern Recognit. 40(4): 1161-1172 (2007)
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Yong Fan, Dinggang Shen, Ruben C. Gur, Raquel E. Gur, Christos Davatzikos:
COMPARE: Classification of Morphological Patterns Using Adaptive Regional Elements. IEEE Trans. Medical Imaging 26(1): 93-105 (2007)
[j39]
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Yiqiang Zhan, Dinggang Shen, Jianchao Zeng, Leon Sun, Gabor Fichtinger, Judd W. Moul, Christos Davatzikos:
Targeted Prostate Biopsy Using Statistical Image Analysis. IEEE Trans. Medical Imaging 26(6): 779-788 (2007)
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Yuanjie Zheng, Karl V. Steiner, Thomas L. Bauer, Jingyi Yu, Dinggang Shen, Chandra Kambhamettu:
Lung Nodule Growth Analysis from 3D CT Data with a Coupled Segmentation and Registration Framework. ICCV 2007: 1-8
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M. S. Dnesh Kumar, Dinggang Shen, Liyang Wei, Ram Turlapthi, Jasjit S. Suri:
Motion Correction Strategies for Interventional Angiography Images: A Comparative Approach. ICIP (1) 2007: 497-500
[c55]
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Guorong Wu, Feihu Qi, Dinggang Shen:
Learning Best Features and Deformation Statistics for Hierarchical Registration of MR Brain Images. IPMI 2007: 160-171
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Zhong Xue, Dinggang Shen:
Statistically-Constrained Deformable Registration of Mr Brain Images. ISBI 2007: 25-28
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Ye Xing, Yangming Ou, Sarah Englander, Mitchell D. Schnall, Dinggang Shen:
Simultaneous Estimation and Segmentation of T1 Map for Breast Parenchyma Measurement. ISBI 2007: 332-335
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Yuanjie Zheng, Sarah Englander, Mitchell D. Schnall, Dinggang Shen:
Step: Spatial-Temporal Enhancement Pattern, for Mr-Based Breast Tumor Diagnosis. ISBI 2007: 520-523
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Yuanjie Zheng, Sajjad Baloch, Sarah Englander, Mitchell D. Schnall, Dinggang Shen:
Segmentation and Classification of Breast Tumor Using Dynamic Contrast-Enhanced MR Images. MICCAI (2) 2007: 393-401
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Yuanjie Zheng, Jingyi Yu, Chandra Kambhamettu, Sarah Englander, Mitchell D. Schnall, Dinggang Shen:
De-enhancing the Dynamic Contrast-Enhanced Breast MRI for Robust Registration. MICCAI (1) 2007: 933-941
[c49]
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Hari Sundar, Dinggang Shen, George Biros, Chenyang Xu, Christos Davatzikos:
Robust Computation of Mutual Information Using Spatially Adaptive Meshes. MICCAI (1) 2007: 950-958
2006
[j38]
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Zhong Xue, Dinggang Shen, Christos Davatzikos:
Statistical representation of high-dimensional deformation fields with application to statistically constrained 3D warping. Medical Image Anal. 10(5): 740-751 (2006)
[j37]
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Ashraf Mohamed, Evangelia I. Zacharaki, Dinggang Shen, Christos Davatzikos:
Deformable registration of brain tumor images via a statistical model of tumor-induced deformation. Medical Image Anal. 10(5): 752-763 (2006)
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Zhong Xue, Dinggang Shen, Christos Davatzikos:
CLASSIC: Consistent Longitudinal Alignment and Segmentation for Serial Image Computing. NeuroImage 30(2): 388-399 (2006)
[j35]
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Zhong Xue, Dinggang Shen, Bilge Karaçali, Joshua Stern, David A. Rottenberg, Christos Davatzikos:
Simulating deformations of MR brain images for validation of atlas-based segmentation and registration algorithms. NeuroImage 33(3): 855-866 (2006)
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Yiqiang Zhan, Dinggang Shen:
An adaptive error penalization method for training an efficient and generalized SVM. Pattern Recognit. 39(3): 342-350 (2006)
[j33]
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Yiqiang Zhan, Dinggang Shen:
Deformable segmentation of 3-D ultrasound prostate images using statistical texture matching method. IEEE Trans. Medical Imaging 25(3): 256-272 (2006)
[j32]
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Guorong Wu, Feihu Qi, Dinggang Shen:
Learning-based deformable registration of MR brain images. IEEE Trans. Medical Imaging 25(9): 1145-1157 (2006)
[c48]
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Zhong Xue, Dinggang Shen, Christos Davatzikos:
Statistically-Constrained High-Dimensional Warping Using Wavelet-Based Priors. CVPR Workshops 2006: 71
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Yong Fan, Dinggang Shen, Christos Davatzikos:
Detecting Cognitive States from fMRI Images by Machine Learning and Multivariate Classification. CVPR Workshops 2006: 89
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Yong Fan, Hengyi Rao, Joan M. Giannetta, Hallam Hurt, Jiongjiong Wang, Christos Davatzikos, Dinggang Shen:
Diagnosis of Brain Abnormality Using both Structural and Functional MR Images. EMBC 2006: 1044-1047
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Yong Fan, Hengyi Rao, Joan M. Giannetta, Hallam Hurt, Jiongjiong Wang, Christos Davatzikos, Dinggang Shen:
Diagnosis of Brain Abnormality Using both Structural and Functional MR Images. EMBC (Supplement) 2006: 6585-6588
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Hari Sundar, Dinggang Shen, George Biros, Harold Litt, Christos Davatzikos:
Estimating myocardial fiber orientations by template warping. ISBI 2006: 73-76
[c43]
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Evangelia I. Zacharaki, Dinggang Shen, Ashraf Mohamed, Christos Davatzikos:
Registration of brain images with tumors: towards the construction of statistical atlases for therapy planning. ISBI 2006: 197-200
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Zhiqiang Lao, Dinggang Shen, Abbas Jawad, Bilge Karaçali, Dengfeng Liu, Elias R. Melhem, R. Nick Bryan, Christos Davatzikos:
Automated segmentation of white matter lesions in 3D brain MR images, using multivariate pattern classification. ISBI 2006: 307-310
[c41]
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Guorong Wu, Feihu Qi, Dinggang Shen:
Improve brain registration using machine learning methods. ISBI 2006: 434-437
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Guorong Wu, Feihu Qi, Dinggang Shen:
A General Learning Framework for Non-rigid Image Registration. MIAR 2006: 219-227
[c39]
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Yonghong Shi, Feihu Qi, Zhong Xue, Kyoko Ito, Hidenori Matsuo, Dinggang Shen:
Segmenting Lung Fields in Serial Chest Radiographs Using Both Population and Patient-Specific Shape Statistics. MICCAI (1) 2006: 83-91
[c38]
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Yiqiang Zhan, Michael D. Feldman, John E. Tomaszeweski, Christos Davatzikos, Dinggang Shen:
Registering Histological and MR Images of Prostate for Image-Based Cancer Detection. MICCAI (2) 2006: 620-628
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Guang-Zhong Yang, Tianzi Jiang, Dinggang Shen, Lixu Gu, Jie Yang:
Medical Imaging and Augmented Reality, MIAR 2006, Third International Workshop, Shanghai, China, August 17-18, 2006, Proceedings. Lecture Notes in Computer Science 4091, Springer 2006, ISBN 3-540-37220-2 [contents]
2005
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Christos Davatzikos, Kosha Ruparel, Yong Fan, Dinggang Shen, M. Acharyya, James Loughead, Ruben C. Gur, Daniel D. Langleben:
Classifying spatial patterns of brain activity with machine learning methods: Application to lie detection. NeuroImage 28(3): 663-668 (2005)
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Ragini Verma, Susumu Mori, Dinggang Shen, Paul Yarowsky, Jiangyang Zhang, Christos Davatzikos:
Spatiotemporal maturation patterns of murine brain quantified by diffusion tensor MRI and deformation-based morphometry. Proc. Natl. Acad. Sci. USA 102(19): 6978-6983 (2005)
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Yiqiang Zhan, Dinggang Shen:
Design efficient support vector machine for fast classification. Pattern Recognit. 38(1): 157-161 (2005)
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Hongxia Luan, Feihu Qi, Dinggang Shen:
Multi-modal Image Registration by Quantitative-Qualitative Measure of Mutual Information (Q-MI). CVBIA 2005: 378-387
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Yiqiang Zhan, Dinggang Shen:
Increasing Efficiency of SVM by Adaptively Penalizing Outliers. EMMCVPR 2005: 539-551
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Zhong Xue, Dinggang Shen, Christos Davatzikos:
CLASSIC: Consistent Longitudinal Alignment and Segmentation for Serial Image Computing. IPMI 2005: 101-113
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Yong Fan, Dinggang Shen, Christos Davatzikos:
Classification of Structural Images via High-Dimensional Image Warping, Robust Feature Extraction, and SVM. MICCAI 2005: 1-8
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Guorong Wu, Feihu Qi, Dinggang Shen:
Learning Best Features for Deformable Registration of MR Brains. MICCAI (2) 2005: 179-187
[c32]
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Ashraf Mohamed, Dinggang Shen, Christos Davatzikos:
Deformable Registration of Brain Tumor Images Via a Statistical Model of Tumor-Induced Deformation. MICCAI (2) 2005: 263-270
[c31]
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Zhong Xue, Dinggang Shen, Bilge Karaçali, Christos Davatzikos:
Statistical Representation and Simulation of High-Dimensional Deformations: Application to Synthesizing Brain Deformations. MICCAI (2) 2005: 500-508
[c30]
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Dinggang Shen, Hari Sundar, Zhong Xue, Yong Fan, Harold Litt:
Consistent Estimation of Cardiac Motions by 4D Image Registration. MICCAI (2) 2005: 902-910
2004
[j28]
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Yue Wang, Eam Khwang Teoh, Dinggang Shen:
Lane detection and tracking using B-Snake. Image Vis. Comput. 22(4): 269-280 (2004)
[j27]
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Dinggang Shen, Zhiqiang Lao, Jianchao Zeng, Wei Zhang, Isabell A. Sesterhenn, Leon Sun, Judd W. Moul, Edward Herskovits, Gabor Fichtinger, Christos Davatzikos:
Optimized prostate biopsy via a statistical atlas of cancer spatial distribution. Medical Image Anal. 8(2): 139-150 (2004)
[j26]
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Zhiqiang Lao, Dinggang Shen, Zhong Xue, Bilge Karaçali, Susan M. Resnick, Christos Davatzikos:
Morphological classification of brains via high-dimensional shape transformations and machine learning methods. NeuroImage 21(1): 46-57 (2004)
[j25]
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Dinggang Shen, Christos Davatzikos:
Measuring temporal morphological changes robustly in brain MR images via 4-dimensional template warping. NeuroImage 21(4): 1508-1517 (2004)
[j24]
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Tianming Liu, Dinggang Shen, Christos Davatzikos:
Deformable registration of cortical structures via hybrid volumetric and surface warping. NeuroImage 22(4): 1790-1801 (2004)
[j23]
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Dinggang Shen, Dengfeng Liu, Hong Liu, Liv S. Clasen, Jay N. Giedd, Christos Davatzikos:
Automated morphometric study of brain variation in XXY males. NeuroImage 23(2): 648-653 (2004)
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Zhong Xue, Dinggang Shen, Christos Davatzikos:
Determining correspondence in 3-D MR brain images using attribute vectors as morphological signatures of voxels. IEEE Trans. Medical Imaging 23(10): 1276-1291 (2004)
[c29]
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Yiqiang Zhan, Dinggang Shen:
Increasing the Efficiency of Support Vector Machine by Simplifying the Shape of Separation Hypersurface. CIS 2004: 732-738
[c28]
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Christos Davatzikos, Dinggang Shen, Zhiqiang Lao, Zhong Xue, Bilge Karaçali:
Morphological Classification of Medical Images using Nonlinear Support Vector Machines. ISBI 2004: 587-590
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Dinggang Shen:
4D Image Warping for Measurement of Longitudinal Brain Changes. ISBI 2004: 904-907
[c26]
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Tianming Liu, Dinggang Shen, Christos Davatzikos:
Predictive Modeling of Anatomic Structures Using Canonical Correlation Analysis. ISBI 2004: 1279-1282
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Yiqiang Zhan, Dinggang Shen, Russell H. Taylor:
Deformable Registration of Male Pelvises in CT Images. ISBI 2004: 1463-1466
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Yiqiang Zhan, Dinggang Shen:
An Efficient Method for Deformable Segmentation of 3D US Prostate Images. MIAR 2004: 103-112
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Dinggang Shen:
Image Registration by Hierarchical Matching of Local Spatial Intensity Histograms. MICCAI (1) 2004: 582-590
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Tianming Liu, Dinggang Shen, Christos Davatzikos:
Deformable Registration of Tumor-Diseased Brain Images. MICCAI (1) 2004: 720-728
2003
[j21]
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Dinggang Shen, Christos Davatzikos:
Very High-Resolution Morphometry Using Mass-Preserving Deformations and HAMMER Elastic Registration. NeuroImage 18(1): 28-41 (2003)
[j20]
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Christos Davatzikos, Xiaodong Tao, Dinggang Shen:
Hierarchical Active Shape Models, Using the Wavelet Transform. IEEE Trans. Medical Imaging 22(3): 414-423 (2003)
[j19]
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Dinggang Shen, Yiqiang Zhan, Christos Davatzikos:
Segmentation of Prostate Boundaries from Ultrasound Images Using Statistical Shape Model. IEEE Trans. Medical Imaging 22(4): 539-551 (2003)
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Yiqiang Zhan, Dinggang Shen:
Automated Segmentation of 3D US Prostate Images Using Statistical Texture-Based Matching Method. MICCAI (1) 2003: 688-696
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Zhong Xue, Dinggang Shen, Christos Davatzikos:
Correspondence Detection Using Wavelet-Based Attribute Vectors. MICCAI (2) 2003: 762-770
[c19]
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Tianming Liu, Dinggang Shen, Christos Davatzikos:
Deformable Registration of Cortical Structures via Hybrid Volumetric and Surface Warping. MICCAI (2) 2003: 780-787
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Kirsten Judith Behnke, Maryam E. Rettmann, Dzung L. Pham, Dinggang Shen, Susan M. Resnick, Christos Davatzikos, Jerry L. Prince:
Automatic classification of sulcal regions of the human brain cortex using pattern recognition. Medical Imaging: Image Processing 2003
2002
[j18]
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Dinggang Shen, Scott Moffat, Susan M. Resnick, Christos Davatzikos:
Measuring Size and Shape of the Hippocampus in MR Images Using a Deformable Shape Model. NeuroImage 15(2): 422-434 (2002)
[j17]
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Dinggang Shen, Christos Davatzikos:
HAMMER: Heirarchical Attribute Matching Mechanism for Elastic Registration. IEEE Trans. Medical Imaging 21(8) (2002)
[j16]
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Dinggang Shen, Christos Davatzikos:
HAMMER: Heirarchical Attribute Matching Mechanism for Elastic Registration. IEEE Trans. Medical Imaging 21(11): 1421-1439 (2002)
[c17]
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Zhong Xue, Stan Z. Li, Dinggang Shen, Eam Khwang Teoh:
A novel Bayesian shape model for facial feature extraction. ICARCV 2002: 514-519
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Yue Wang, Eam Khwang Teoh, Dinggang Shen:
A B-snake model using statistical and geometric information-applications to medical images. ICARCV 2002: 793-797
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Songyang Yu, Dzung L. Pham, Dinggang Shen, Edward Herskovits, Susan M. Resnick, Christos Davatzikos:
Automatic segmentation of white matter lesions in T1-weighted brain MR images. ISBI 2002: 253-256
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Dongrong Xu, Susumu Mori, Dinggang Shen, Christos Davatzikos:
Statistically-based reorientation of diffusion tensor field. ISBI 2002: 757-760
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Zhiqiang Lao, Dinggang Shen, Christos Davatzikos:
Statistical shape model for automatic skull-stripping of brain images. ISBI 2002: 855-858
2001
[j15]
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Dinggang Shen, Horace Ho-Shing Ip, Eam Khwang Teoh:
An energy of asymmetry for accurate detection of global reflection axes. Image Vis. Comput. 19(5): 283-297 (2001)
[j14]
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Dinggang Shen, Horace Ho-Shing Ip, Eam Khwang Teoh:
Constraint relationship for reflectional symmetry and rotational symmetry. J. Electronic Imaging 10(4): 998-1002 (2001)
[j13]
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Zhong Xue, Dinggang Shen, Eam Khwang Teoh:
An efficient fuzzy algorithm for aligning shapes under affine transformations. Pattern Recognit. 34(6): 1171-1180 (2001)
[j12]
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Dinggang Shen, Horace Ho-Shing Ip, Eam Khwang Teoh:
Robust detection of skewed symmetries by combining local and semi-local affine invariants. Pattern Recognit. 34(7): 1417-1428 (2001)
[j11]
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Dinggang Shen, Edward Herskovits, Christos Davatzikos:
An Adaptive-Focus Statistical Shape Model for Segmentation and Shape Modeling of 3D Brain Structures. IEEE Trans. Medical Imaging 20(4): 257-270 (2001)
[j10]
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Christos Davatzikos, Dinggang Shen, Ashraf Mohamed, Stelios K. Kyriacou:
A Framework for Predictive Modeling of Anatomical Deformations. IEEE Trans. Medical Imaging 20(8): 836-843 (2001)
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Dinggang Shen, Zhiqiang Lao, Edward Herskovits, Gabor Fichtinger, Christos Davatzikos, Jianchao Zeng:
Statistically Optimized Biopsy Strategy for the Diagnosis of Prostate Cancer. CBMS 2001: 433-438
[c11]
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Yue Wang, Eam Khwang Teoh, Dinggang Shen:
Structure-adaptive B-snake for segmenting complex objects. ICIP (2) 2001: 769-772
[c10]
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Dinggang Shen, Zhiqiang Lao, Jianchao Zeng, Edward Herskovits, Gabor Fichtinger, Christos Davatzikos:
A Statistical Atlas of Prostate Cancer for Optimal Biopsy. MICCAI 2001: 416-424
2000
[j9]
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Dinggang Shen, Christos Davatzikos:
An Adaptive-Focus Deformable Model Using Statistical and Geometric Information. IEEE Trans. Pattern Anal. Mach. Intell. 22(8): 906-913 (2000)
[j8]
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Dinggang Shen, Horace Ho-Shing Ip, Eam Khwang Teoh:
Affine invariant detection of perceptually parallel 3D planar curves. Pattern Recognit. 33(11): 1909-1918 (2000)
[j7]
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Yue Wang, Dinggang Shen, Eam Khwang Teoh:
Lane detection using spline model. Pattern Recognit. Lett. 21(8): 677-689 (2000)
[c9]
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Zhong Xue, Dinggang Shen, Eam Khwang Teoh:
A Deformable Template Model Based on Fuzzy Alignment Algorithm. ICIP 2000: 296-299
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Dinggang Shen, Horace Ho-Shing Ip, Eam Khwang Teoh:
Detecting Reflection Axes by Energy Minimization. ICPR 2000: 6026-6029
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Dinggang Shen, Horace Ho-Shing Ip, Eam Khwang Teoh:
A Novel Theorem on Symmetries of 2D Images. ICPR 2000: 7014-7017
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Dinggang Shen, Horace Ho-Shing Ip, Eam Khwang Teoh:
Robust Detection of Skewed Symmetries. ICPR 2000: 7022-7025
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Dinggang Shen, Christos Davatzikos:
Adaptive-Focus Statistical Shape Model for Segmentation of 3D MR Structures. MICCAI 2000: 206-215
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Stelios K. Kyriacou, Dinggang Shen, Christos Davatzikos:
A Framework for Predictive Modeling of Intra-operative Deformations: A Simulation-Based Study. MICCAI 2000: 634-642

1990 – 1999

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1999
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Dinggang Shen, Wai-Him Wong, Horace Ho-Shing Ip:
Affine-invariant image retrieval by correspondence matching of shapes. Image Vis. Comput. 17(7): 489-499 (1999)
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Dinggang Shen, Horace Ho-Shing Ip, Kent K. T. Cheung, Eam Khwang Teoh:
Symmetry Detection by Generalized Complex (GC) Moments: A Close-Form Solution. IEEE Trans. Pattern Anal. Mach. Intell. 21(5): 466-476 (1999)
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Dinggang Shen, Horace Ho-Shing Ip:
Discriminative wavelet shape descriptors for recognition of 2-D patterns. Pattern Recognit. 32(2): 151-165 (1999)
1998
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Horace Ho-Shing Ip, Dinggang Shen:
An affine-invariant active contour model (AI-snake) for model-based segmentation. Image Vis. Comput. 16(2): 135-146 (1998)
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Horace Ho-Shing Ip, Dinggang Shen, Wai-Him Wong, Ken C. K. Law:
An Area-Based Shape Representation for Affine Invariant Content-Based Retrieval. Multimedia Information Analysis and Retrieval 1998: 132-142
[c2]
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Yue Wang, Dinggang Shen, Eam Khwang Teoh, Han Wang:
A Novel Lane Model for Lane Boundary Detection. MVA 1998: 27-30
1997
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Dinggang Shen, Horace Ho-Shing Ip:
Generalized Affine Invariant Image Normalization. IEEE Trans. Pattern Anal. Mach. Intell. 19(5): 431-440 (1997)
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Dinggang Shen, Horace Ho-Shing Ip:
A Hopfield neural network for adaptive image segmentation: An active surface paradigm. Pattern Recognit. Lett. 18(1): 37-48 (1997)
1995
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John Chung-Mong Lee, Wei Xiong, Ding-Gang Shen, Ruihua Ma:
Video Segment Indexing through Classification and Interactive View-Based Query. ACCV 1995: 541-549

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