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2020 – today
- 2025
[j197]Jiahao Huang
, Liutao Yang, Fanwen Wang, Yinzhe Wu, Yang Nan, Weiwen Wu, Chengyan Wang, Kuangyu Shi, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Daoqiang Zhang, Guang Yang:
Enhancing global sensitivity and uncertainty quantification in medical image reconstruction with Monte Carlo arbitrary-masked mamba. Medical Image Anal. 99: 103334 (2025)- 2024
- [j196]Junyong Zhao, Liang Sun, Zhi Sun, Xin Zhou, Haipeng Si, Daoqiang Zhang:
MSEF-Net: Multi-scale edge fusion network for lumbosacral plexus segmentation with MR image. Artif. Intell. Medicine 148: 102771 (2024) - [j195]Jiashuang Huang, Xiaoyu Qi, Xueyun Cheng, Mingliang Wang, Hengrong Ju, Weiping Ding, Daoqiang Zhang:
MMF-NNs: Multi-modal Multi-granularity Fusion Neural Networks for brain networks and its application to epilepsy identification. Artif. Intell. Medicine 157: 102990 (2024) - [j194]Xiaoyu Guan, Wei Shao, Daoqiang Zhang:
T-S2Inet: Transformer-based sequence-to-image network for accurate nanopore sequence recognition. Bioinform. 40(2) (2024) - [j193]Xiaoke Hao, Jiawang Li, Mingming Ma, Jing Qin, Daoqiang Zhang, Feng Liu:
Hypergraph convolutional network for longitudinal data analysis in Alzheimer's disease. Comput. Biol. Medicine 168: 107765 (2024) - [j192]Zhongnian Li, Mengting Xu, Xinzheng Xu, Daoqiang Zhang:
Complementary Labels Learning with Augmented Classes. Knowl. Based Syst. 290: 111570 (2024) - [j191]Xuyun Wen, Mengting Yang, Shile Qi, Xia Wu, Daoqiang Zhang:
Automated individual cortical parcellation via consensus graph representation learning. NeuroImage 293: 120616 (2024) - [j190]Xi Guan, Qi Zhu, Liang Sun, Junyong Zhao, Daoqiang Zhang, Peng Wan, Wei Shao:
Global-local consistent semi-supervised segmentation of histopathological image with different perturbations. Pattern Recognit. 155: 110696 (2024) - [j189]Qi Zhu, Chuhang Zheng, Zheng Zhang, Wei Shao, Daoqiang Zhang:
Dynamic Confidence-Aware Multi-Modal Emotion Recognition. IEEE Trans. Affect. Comput. 15(3): 1358-1370 (2024) - [j188]Fang Chen, Qingjie Du, Jing-xin Zhao, Zhe Zhao, Daoqiang Zhang, Hongen Liao:
A Generalized Full-to-Partial Registration Framework of 3D Point Sets for Computer-Aided Orthopedic Surgery. IEEE Trans. Biomed. Eng. 71(3): 1010-1021 (2024) - [j187]Liang Sun, Yanling Fu, Junyong Zhao, Wei Shao, Qi Zhu, Daoqiang Zhang:
MAS-CL: An End-to-End Multi-Atlas Supervised Contrastive Learning Framework for Brain ROI Segmentation. IEEE Trans. Image Process. 33: 4319-4333 (2024) - [j186]Xuyun Wen, Qumei Cao, Yunxi Zhao, Xia Wu, Daoqiang Zhang:
D-MHGCN: An End-to-End Individual Behavioral Prediction Model Using Dual Multi-Hop Graph Convolutional Network. IEEE J. Biomed. Health Informatics 28(10): 6130-6140 (2024) - [j185]Peiliang Gong, Pengpai Wang, Yueying Zhou, Xuyun Wen, Daoqiang Zhang:
TFAC-Net: A Temporal-Frequential Attentional Convolutional Network for Driver Drowsiness Recognition With Single-Channel EEG. IEEE Trans. Intell. Transp. Syst. 25(7): 7004-7016 (2024) - [j184]Kai Ma, Xuyun Wen, Qi Zhu, Daoqiang Zhang:
Ordinal Pattern Tree: A New Representation Method for Brain Network Analysis. IEEE Trans. Medical Imaging 43(4): 1526-1538 (2024) - [j183]Wei Shao, Hang Shi, Jianxin Liu, Yingli Zuo, Liang Sun, Tiansong Xia, Wanyuan Chen, Peng Wan, Jianpeng Sheng, Qi Zhu, Daoqiang Zhang:
Multi-Instance Multi-Task Learning for Joint Clinical Outcome and Genomic Profile Predictions From the Histopathological Images. IEEE Trans. Medical Imaging 43(6): 2266-2278 (2024) - [j182]Qi Zhu, Shengrong Li, Xiangshui Meng, Qiang Xu, Zhiqiang Zhang, Wei Shao, Daoqiang Zhang:
Spatio-Temporal Graph Hubness Propagation Model for Dynamic Brain Network Classification. IEEE Trans. Medical Imaging 43(6): 2381-2394 (2024) - [j181]Mengting Xu, Tao Zhang, Zhongnian Li, Daoqiang Zhang:
InfoAT: Improving Adversarial Training Using the Information Bottleneck Principle. IEEE Trans. Neural Networks Learn. Syst. 35(1): 1255-1264 (2024) - [c146]Wei Shao, Yangyang Shi, Daoqiang Zhang, Junjie Zhou, Peng Wan:
Tumor Micro-Environment Interactions Guided Graph Learning for Survival Analysis of Human Cancers from Whole-Slide Pathological Images. CVPR 2024: 11694-11703 - [c145]Xiaoke Hao, Mingming Ma, Yingchun Guo, Jiawang Li, Jing Qin, Daoqiang Zhang:
A Framework on Imaging and Phenotype Information Hierarchical Graph Convolutional Networks for Identification of Autism Spectrum Disorder. ISBI 2024: 1-4 - [c144]Qianru Sun, Lianyu Wang, Liying Zhang, Peiliang Gong, Yueying Zhou, Daoqiang Zhang:
MSTI-Former: A Multi-Scale Spatial-Temporal Information Enhanced Transformer for Attentive State Classification. ISBI 2024: 1-4 - [c143]Lianyu Wang, Dingwei Fan, Meng Wang, Daoqiang Zhang:
AISA-DG: Automatic Implicit Style-Augmented Domain Generalization on Optic Disc/Cup Segmentation. ISBI 2024: 1-4 - [c142]Peng Wan, Shukang Zhang, Wei Shao, Junyong Zhao, Yinkai Yang, Wentao Kong, Haiyan Xue, Daoqiang Zhang:
Correlation-Adaptive Multi-view CEUS Fusion for Liver Cancer Diagnosis. MICCAI (5) 2024: 188-197 - [c141]Jiao Tang, Yagao Yue, Peng Wan, Mingliang Wang, Daoqiang Zhang, Wei Shao:
OSAL-ND: Open-Set Active Learning for Nucleus Detection. MICCAI (4) 2024: 351-361 - [c140]Xin Tang, Zhi Cao, Weijing Zhang, Di Zhao, Hongen Liao, Daoqiang Zhang, Fang Chen:
Follow Sonographers' Visual Scan-Path: Adjusting CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound. MICCAI (1) 2024: 611-620 - [c139]Lingyu Chen, Yue Wang, Zhe Zhao, Hongen Liao, Daoqiang Zhang, Haojie Han, Fang Chen:
Hybrid-Structure-Oriented Transformer for Arm Musculoskeletal Ultrasound Segmentation. MICCAI (1) 2024: 621-631 - [c138]Yunxi Zhao, Dong Nie, Geng Chen, Xia Wu, Daoqiang Zhang, Xuyun Wen:
TARDRL: Task-Aware Reconstruction for Dynamic Representation Learning of fMRI. MICCAI (11) 2024: 700-710 - [c137]Pengcheng Xue, Dong Nie, Meijiao Zhu, Ming Yang, Han Zhang, Daoqiang Zhang, Xuyun Wen:
WSSADN: A Weakly Supervised Spherical Age-Disentanglement Network for Detecting Developmental Disorders with Structural MRI. MICCAI (11) 2024: 789-799 - [c136]Yangyang Shi, Qi Zhu, Yingli Zuo, Peng Wan, Daoqiang Zhang, Wei Shao:
Characterizing the Histology Spatial Intersections Between Tumor-Infiltrating Lymphocytes and Tumors for Survival Prediction of Cancers Via Graph Contrastive Learning. MLMI@MICCAI (2) 2024: 212-221 - [i44]Jiahao Huang, Liutao Yang, Fanwen Wang, Yinzhe Wu, Yang Nan, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Daoqiang Zhang, Guang Yang:
MambaMIR: An Arbitrary-Masked Mamba for Joint Medical Image Reconstruction and Uncertainty Estimation. CoRR abs/2402.18451 (2024) - [i43]Jiahao Huang, Liutao Yang, Fanwen Wang, Yang Nan, Weiwen Wu, Chengyan Wang, Kuangyu Shi, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Daoqiang Zhang, Guang Yang:
Enhancing Global Sensitivity and Uncertainty Quantification in Medical Image Reconstruction with Monte Carlo Arbitrary-Masked Mamba. CoRR abs/2405.17659 (2024) - [i42]Mohamed Ragab, Peiliang Gong, Emadeldeen Eldele, Wenyu Zhang, Min Wu, Chuan-Sheng Foo, Daoqiang Zhang, Xiaoli Li, Zhenghua Chen:
Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation. CoRR abs/2406.02635 (2024) - [i41]Changxi Chi, Hang Shi, Qi Zhu, Daoqiang Zhang, Wei Shao:
Spatially Resolved Gene Expression Prediction from Histology via Multi-view Graph Contrastive Learning with HSIC-bottleneck Regularization. CoRR abs/2406.12229 (2024) - [i40]Lianyu Wang, Meng Wang, Huazhu Fu, Daoqiang Zhang:
Say No to Freeloader: Protecting Intellectual Property of Your Deep Model. CoRR abs/2408.13161 (2024) - [i39]Liutao Yang, Jiahao Huang, Yingying Fang, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Daoqiang Zhang, Guang Yang:
Learning Task-Specific Sampling Strategy for Sparse-View CT Reconstruction. CoRR abs/2409.01544 (2024) - [i38]Liutao Yang, Jiahao Huang, Guang Yang, Daoqiang Zhang:
CT-SDM: A Sampling Diffusion Model for Sparse-View CT Reconstruction across All Sampling Rates. CoRR abs/2409.01571 (2024) - 2023
- [j180]Xin Zhang, Liangxiu Han, Lianghao Han, Haoming Chen, Darren Dancey, Daoqiang Zhang:
sMRI-PatchNet: A Novel Efficient Explainable Patch-Based Deep Learning Network for Alzheimer's Disease Diagnosis With Structural MRI. IEEE Access 11: 108603-108616 (2023) - [j179]Xiaoyu Guan, Zhongnian Li, Yueying Zhou, Wei Shao, Daoqiang Zhang:
Active learning for efficient analysis of high-throughput nanopore data. Bioinform. 39(1) (2023) - [j178]Fang Chen, Jian Wang, Han Liu, Wentao Kong, Zhe Zhao, Longfei Ma, Hongen Liao, Daoqiang Zhang:
Frequency constraint-based adversarial attack on deep neural networks for medical image classification. Comput. Biol. Medicine 164: 107248 (2023) - [j177]Fang Chen, Lingyu Chen, Tianze Xu, Haoran Ye, Hongen Liao, Daoqiang Zhang:
Precise angle estimation of capsule robot in ultrasound using heatmap guided two-stage network. Comput. Methods Programs Biomed. 240: 107605 (2023) - [j176]Lingyu Chen, Hongen Liao, Wentao Kong, Daoqiang Zhang, Fang Chen:
Anatomy preserving GAN for realistic simulation of intraoperative liver ultrasound images. Comput. Methods Programs Biomed. 240: 107642 (2023) - [j175]Samson B. Akintoye, Liangxiu Han, Huw Lloyd, X. Zhang, Darren Dancey, Haoming Chen, Daoqiang Zhang:
Layer-wise partitioning and merging for efficient and scalable deep learning. Future Gener. Comput. Syst. 149: 432-444 (2023) - [j174]Mei-Ling Wang, Wei Shao, Xiaoke Hao, Daoqiang Zhang:
Machine Learning for Brain Imaging Genomics Methods: A Review. Int. J. Autom. Comput. 20(1): 57-78 (2023) - [j173]Jiashuang Huang, Mingliang Wang, Hengrong Ju, Zhen-Quan Shi, Weiping Ding, Daoqiang Zhang:
SD-CNN: A static-dynamic convolutional neural network for functional brain networks. Medical Image Anal. 83: 102679 (2023) - [j172]Meiling Wang, Wei Shao, Shuo Huang, Daoqiang Zhang:
Hypergraph-regularized multimodal learning by graph diffusion for imaging genetics based Alzheimer's Disease diagnosis. Medical Image Anal. 89: 102883 (2023) - [j171]Liang Sun, Wei Shao, Qi Zhu, Meiling Wang, Gang Li, Daoqiang Zhang:
Multi-scale multi-hierarchy attention convolutional neural network for fetal brain extraction. Pattern Recognit. 133: 109029 (2023) - [j170]Kai Ma, Shuo Huang, Peng Wan, Daoqiang Zhang:
Optimal transport based pyramid graph kernel for autism spectrum disorder diagnosis. Pattern Recognit. 143: 109716 (2023) - [j169]Qi Zhu, Ting Zhu, Rui Zhang, Haizhou Ye, Kai Sun, Yong Xu, Daoqiang Zhang:
A Cognitive-Driven Ordinal Preservation for Multimodal Imbalanced Brain Disease Diagnosis. IEEE Trans. Cogn. Dev. Syst. 15(2): 675-689 (2023) - [j168]Xiaoke Hao, Ruxue Wang, Yingchun Guo, Yunjia Xiao, Ming Yu, Meiling Wang, Weibin Chen, Daoqiang Zhang:
Multimodal Self-Paced Locality-Preserving Learning for Diagnosis of Alzheimer's Disease. IEEE Trans. Cogn. Dev. Syst. 15(2): 832-843 (2023) - [j167]Qiming Yang, Qi Zhu, Mingming Wang, Wei Shao, Zheng Zhang, Daoqiang Zhang:
Self-Supervised Federated Adaptation for Multi-Site Brain Disease Diagnosis. IEEE Trans. Big Data 9(5): 1334-1346 (2023) - [j166]Qi Zhu, Qiming Yang, Mingming Wang, Xiangyu Xu, Yuwu Lu, Wei Shao, Daoqiang Zhang:
Multi-Discriminator Active Adversarial Network for Multi-Center Brain Disease Diagnosis. IEEE Trans. Big Data 9(6): 1575-1585 (2023) - [j165]Xiaoke Hao, Qihao Tan, Yingchun Guo, Yunjia Xiao, Ming Yu, Meiling Wang, Jing Qin, Daoqiang Zhang, Alzheimer's Disease Neuroimaging Initiative:
Identifying Modality-Consistent and Modality-Specific Features via Label-Guided Multi-Task Sparse Canonical Correlation Analysis for Neuroimaging Genetics. IEEE Trans. Biomed. Eng. 70(3): 831-840 (2023) - [j164]Peng Wan, Haiyan Xue, Chunrui Liu, Fang Chen, Wei Shao, Jing Qin, Wentao Kong, Daoqiang Zhang:
Transport-Based Anatomical-Functional Metric Learning for Liver Tumor Recognition Using Dual-View Dynamic CEUS Imaging. IEEE Trans. Biomed. Eng. 70(3): 1012-1023 (2023) - [j163]Fang Chen, Haojie Han, Guochen Ning, Baojie Wen, Hongen Liao, Wentao Kong, Daoqiang Zhang:
Immunohistochemical Index Prediction of Breast Cancer by Using Hybrid Ultrasound Data. IEEE Trans. Biomed. Eng. 70(4): 1401-1412 (2023) - [j162]Fang Chen, Haojie Han, Peng Wan, Hongen Liao, Chunrui Liu, Daoqiang Zhang:
Joint Segmentation and Differential Diagnosis of Thyroid Nodule in Contrast-Enhanced Ultrasound Images. IEEE Trans. Biomed. Eng. 70(9): 2722-2732 (2023) - [j161]Xiaoyu Guan, Daoqiang Zhang:
T-MGCL: Molecule Graph Contrastive Learning Based on Transformer for Molecular Property Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 20(6): 3851-3862 (2023) - [j160]Qi Zhu, Jing Yang, Shuihua Wang, Daoqiang Zhang, Zheng Zhang:
Multi-Modal Non-Euclidean Brain Network Analysis With Community Detection and Convolutional Autoencoder. IEEE Trans. Emerg. Top. Comput. Intell. 7(2): 436-446 (2023) - [j159]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) - [j158]Qi Zhu, Yuze Zhou, Lunke Fei, Daoqiang Zhang, David Zhang:
Multi-Spectral Palmprints Joint Attack and Defense With Adversarial Examples Learning. IEEE Trans. Inf. Forensics Secur. 18: 1789-1799 (2023) - [j157]Qi Zhu, Guangnan Xin, Lunke Fei, Dong Liang, Zheng Zhang, Daoqiang Zhang, David Zhang:
Contactless Palmprint Image Recognition Across Smartphones With Self-Paced CycleGAN. IEEE Trans. Inf. Forensics Secur. 18: 4944-4954 (2023) - [j156]Pengpai Wang, Peiliang Gong, Yueying Zhou, Xuyun Wen, Daoqiang Zhang:
Decoding the Continuous Motion Imagery Trajectories of Upper Limb Skeleton Points for EEG-Based Brain-Computer Interface. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [j155]Yueying Zhou, Pengpai Wang, Peiliang Gong, Fulin Wei, Xuyun Wen, Xia Wu, Daoqiang Zhang:
Cross-Subject Cognitive Workload Recognition Based on EEG and Deep Domain Adaptation. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [j154]Xin Zhang, Liangxiu Han, Tam Sobeih, Lianghao Han, Nina Dempsey, Symeon Lechareas, Ascanio Tridente, Haoming Chen, Stephen White, Daoqiang Zhang:
CXR-Net: A Multitask Deep Learning Network for Explainable and Accurate Diagnosis of COVID-19 Pneumonia From Chest X-Ray Images. IEEE J. Biomed. Health Informatics 27(2): 980-991 (2023) - [j153]Peng Wan, Haiyan Xue, Chunrui Liu, Fang Chen, Wentao Kong, Daoqiang Zhang:
Dynamic Perfusion Representation and Aggregation Network for Nodule Segmentation Using Contrast-Enhanced US. IEEE J. Biomed. Health Informatics 27(7): 3431-3442 (2023) - [j152]Liutao Yang, Zhongnian Li, Rongjun Ge, Junyong Zhao, Haipeng Si, Daoqiang Zhang:
Low-Dose CT Denoising via Sinogram Inner-Structure Transformer. IEEE Trans. Medical Imaging 42(4): 910-921 (2023) - [j151]Qi Zhu, Bingliang Xu, Jiashuang Huang, Heyang Wang, Ruting Xu, Wei Shao, Daoqiang Zhang:
Deep Multi-Modal Discriminative and Interpretability Network for Alzheimer's Disease Diagnosis. IEEE Trans. Medical Imaging 42(5): 1472-1483 (2023) - [j150]Wei Shao, Jianxin Liu, Yingli Zuo, Shile Qi, Honghai Hong, Jianpeng Sheng, Qi Zhu, Daoqiang Zhang:
FAM3L: Feature-Aware Multi-Modal Metric Learning for Integrative Survival Analysis of Human Cancers. IEEE Trans. Medical Imaging 42(9): 2552-2565 (2023) - [j149]Wei Shao, Yingli Zuo, Yangyang Shi, Yawen Wu, Jiao Tang, Junyong Zhao, Liang Sun, Zixiao Lu, Jianpeng Sheng, Qi Zhu, Daoqiang Zhang:
Characterizing the Survival-Associated Interactions Between Tumor-Infiltrating Lymphocytes and Tumors From Pathological Images and Multi-Omics Data. IEEE Trans. Medical Imaging 42(10): 3025-3035 (2023) - [j148]Fang Chen, Lingyu Chen, Wentao Kong, Weijing Zhang, Pengfei Zheng, Liang Sun, Daoqiang Zhang, Hongen Liao:
Deep Semi-Supervised Ultrasound Image Segmentation by Using a Shadow Aware Network With Boundary Refinement. IEEE Trans. Medical Imaging 42(12): 3779-3793 (2023) - [j147]Haizhou Ye, Qi Zhu, Yuan Yao, Yichao Jin, Daoqiang Zhang:
Pairwise feature-based generative adversarial network for incomplete multi-modal Alzheimer's disease diagnosis. Vis. Comput. 39(6): 2235-2244 (2023) - [c135]Peng Wan, Chunrui Liu, Daoqiang Zhang:
Anatomical-Functional Fusion Network for Lesion Segmentation Using Dual-View CEUS. ADMA (2) 2023: 244-256 - [c134]Zhen Gu, Daoqiang Zhang, Fang Chen, Peng Wan, Lingyu Chen:
TSM: Three-Stream Mix For Unsupervised Medical Image Registration. BIBM 2023: 1088-1095 - [c133]Dongying Yang, Cong Xia, Ge Tian, Daoqiang Zhang, Rongjun Ge:
PSDD-Net: A Dual-Domain Framework for Pancreatic Cancer Image Segmentation with Multi-scale Local-Dense Net. CICAI (2) 2023: 201-212 - [c132]Yongqing Kou, Cong Xia, Yiping Jiao, Daoqiang Zhang, Rongjun Ge:
DACTransNet: A Hybrid CNN-Transformer Network for Histopathological Image Classification of Pancreatic Cancer. CICAI (2) 2023: 422-434 - [c131]Lianyu Wang, Meng Wang, Daoqiang Zhang, Huazhu Fu:
Model Barrier: A Compact Un-Transferable Isolation Domain for Model Intellectual Property Protection. CVPR 2023: 20475-20484 - [c130]Jianxin Liu, Rongjun Ge, Peng Wan, Qi Zhu, Daoqiang Zhang, Wei Shao:
Multi-task Multi-instance Learning for Jointly Diagnosis and Prognosis of Early-Stage Breast Invasive Carcinoma from Whole-Slide Pathological Images. IPMI 2023: 145-157 - [c129]Mengting Yang, Li-Ming Hsu, Shile Qi, Daoqiang Zhang, Xuyun Wen:
A Multi-View Clustering-Based Method for Individual and Group Cortical Parcellations with Resting-State fMRI. ISBI 2023: 1-5 - [c128]Chong Wang, Daoqiang Zhang, Rongjun Ge:
Eye-Guided Dual-Path Network for Multi-organ Segmentation of Abdomen. MICCAI (7) 2023: 23-32 - [c127]Zhi Cao, Weijing Zhang, Keke Chen, Di Zhao, Daoqiang Zhang, Hongen Liao, Fang Chen:
Thinking Like Sonographers: A Deep CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound. MICCAI (6) 2023: 159-168 - [c126]Kai Ma, Xuyun Wen, Qi Zhu, Daoqiang Zhang:
Positive Definite Wasserstein Graph Kernel for Brain Disease Diagnosis. MICCAI (5) 2023: 168-177 - [c125]Haojie Han, Hongen Liao, Daoqiang Zhang, Wentao Kong, Fang Chen:
Thyroid Nodule Diagnosis in Dynamic Contrast-Enhanced Ultrasound via Microvessel Infiltration Awareness. MICCAI (6) 2023: 169-179 - [c124]Chuhang Zheng, Wei Shao, Daoqiang Zhang, Qi Zhu:
Prior-Driven Dynamic Brain Networks for Multi-modal Emotion Recognition. MICCAI (8) 2023: 389-398 - [c123]Rongjun Ge, Yuting He, Cong Xia, Daoqiang Zhang:
JCCS-PFGM: A Novel Circle-Supervision Based Poisson Flow Generative Model for Multiphase CECT Progressive Low-Dose Reconstruction with Joint Condition. MICCAI (10) 2023: 409-418 - [c122]Yawen Wu, Yingli Zuo, Qi Zhu, Jianpeng Sheng, Daoqiang Zhang, Wei Shao:
Transfer Learning-Assisted Survival Analysis of Breast Cancer Relying on the Spatial Interaction Between Tumor-Infiltrating Lymphocytes and Tumors. MICCAI (6) 2023: 612-621 - [c121]Yili Lin, Dong Nie, Yuting Liu, Ming Yang, Daoqiang Zhang, Xuyun Wen:
Multi-Target Domain Adaptation with Prompt Learning for Medical Image Segmentation. MICCAI (1) 2023: 717-727 - [c120]Peiliang Gong, Ziyu Jia, Pengpai Wang, Yueying Zhou, Daoqiang Zhang:
ASTDF-Net: Attention-Based Spatial-Temporal Dual-Stream Fusion Network for EEG-Based Emotion Recognition. ACM Multimedia 2023: 883-892 - [i37]Xin Zhang, Liangxiu Han, Lianghao Han, Haoming Chen, Darren Dancey, Daoqiang Zhang:
sMRI-PatchNet: A novel explainable patch-based deep learning network for Alzheimer's disease diagnosis and discriminative atrophy localisation with Structural MRI. CoRR abs/2302.08967 (2023) - [i36]Lianyu Wang, Meng Wang, Daoqiang Zhang, Huazhu Fu:
Model Barrier: A Compact Un-Transferable Isolation Domain for Model Intellectual Property Protection. CoRR abs/2303.11078 (2023) - [i35]Meng Wang, Tian Lin, Lianyu Wang, Aidi Lin, Ke Zou, Xinxing Xu, Yi Zhou, Yuanyuan Peng, Qingquan Meng, Yiming Qian, Guoyao Deng, Zhiqun Wu, Junhong Chen, Jianhong Lin, Mingzhi Zhang, Weifang Zhu, Changqing Zhang, Xinjian Chen, Daoqiang Zhang, Rick Siow Mong Goh, Yong Liu, Chi Pui Pang, Haoyu Chen, Huazhu Fu:
Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification. CoRR abs/2304.03981 (2023) - 2022
- [j146]Samson B. Akintoye, Liangxiu Han, Xin Zhang, Haoming Chen, Daoqiang Zhang:
A Hybrid Parallelization Approach for Distributed and Scalable Deep Learning. IEEE Access 10: 77950-77961 (2022) - [j145]Xiaoyu Guan, Yuqin Wang, Wei Shao, Zhongnian Li, Shuo Huang, Daoqiang Zhang:
S2Snet: deep learning for low molecular weight RNA identification with nanopore. Briefings Bioinform. 23(3) (2022) - [j144]Meiling Wang, Wei Shao, Xiaoke Hao, Shuo Huang, Daoqiang Zhang:
Identify connectome between genotypes and brain network phenotypes via deep self-reconstruction sparse canonical correlation analysis. Bioinform. 38(8): 2323-2332 (2022) - [j143]Fang Chen, Peng Xu, Yanting Xie, Daoqiang Zhang, Hongen Liao, Zhe Zhao:
Annotation-guided encoder-decoder network for bone extraction in ultrasound-assisted orthopedic surgery. Comput. Biol. Medicine 148: 105813 (2022) - [j142]Junyong Zhao, Liang Sun, Xin Zhou, Shuo Huang, Haipeng Si, Daoqiang Zhang:
Residual-atrous attention network for lumbosacral plexus segmentation with MR image. Comput. Medical Imaging Graph. 100: 102109 (2022) - [j141]Fang Chen, Haoran Ye, Daoqiang Zhang, Hongen Liao:
TypeSeg: A type-aware encoder-decoder network for multi-type ultrasound images co-segmentation. Comput. Methods Programs Biomed. 214: 106580 (2022) - [j140]Pengpai Wang, Mingliang Wang, Yueying Zhou, Ziming Xu, Daoqiang Zhang:
Multiband decomposition and spectral discriminative analysis for motor imagery BCI via deep neural network. Frontiers Comput. Sci. 16(5): 165328 (2022) - [j139]Muhammad Yousefnezhad, Daoqiang Zhang, Andrew J. Greenshaw, Russell Greiner:
Editorial: Multi-site neuroimage analysis: Domain adaptation and batch effects. Frontiers Neuroinformatics 16 (2022) - [j138]Geng Zhang, Qi Zhu, Jing Yang, Ruting Xu, Zhiqiang Zhang, Daoqiang Zhang:
Functional Brain Connectivity Hyper-Network Embedded with Structural Information for Epilepsy Diagnosis. Int. J. Image Graph. 22(4): 2250029:1-2250029:19 (2022) - [j137]Qi Zhu, Huijie Li, Haizhou Ye, Zhiqiang Zhang, Ran Wang, Zizhu Fan, Daoqiang Zhang:
Incomplete multi-modal brain image fusion for epilepsy classification. Inf. Sci. 582: 316-333 (2022) - [j136]Rongjun Ge, Yuting He, Cong Xia, Chenchu Xu, Weiya Sun, Guanyu Yang, Junru Li, Zhihua Wang, Hailing Yu, Daoqiang Zhang, Yang Chen, Limin Luo, Shuo Li, Yinsu Zhu:
X-CTRSNet: 3D cervical vertebra CT reconstruction and segmentation directly from 2D X-ray images. Knowl. Based Syst. 236: 107680 (2022) - [j135]Rongjun Ge, Cong Xia, Yuting He, Hailong Sun, Daoqiang Zhang, Guanyu Yang, Wentao Xiang, Jinjun Shi, Limin Luo, Yinsu Zhu, Shuo Li, Yang Chen:
RE-3DLVNet: Refined estimation of the left ventricle volume via interactive 3D segmentation and reinforced quantification. Knowl. Based Syst. 251: 109212 (2022) - [j134]Fang Chen, Yanting Xie, Peng Xu, Zhe Zhao, Daoqiang Zhang, Hongen Liao:
Efficient lower-limb segmentation for large-scale volumetric CT by using projection view and voxel group attention. Medical Biol. Eng. Comput. 60(8): 2201-2216 (2022) - [j133]Mingliang Wang, Daoqiang Zhang, Jiashuang Huang, Mingxia Liu, Qingshan Liu:
Consistent connectome landscape mining for cross-site brain disease identification using functional MRI. Medical Image Anal. 82: 102591 (2022) - [j132]Yuang Shi, Chen Zu, Mei Hong, Luping Zhou, Lei Wang, Xi Wu, Jiliu Zhou, Daoqiang Zhang, Yan Wang:
ASMFS: Adaptive-similarity-based multi-modality feature selection for classification of Alzheimer's disease. Pattern Recognit. 126: 108566 (2022) - [j131]Yueying Zhou, Shuo Huang, Ziming Xu, Pengpai Wang, Xia Wu, Daoqiang Zhang:
Cognitive Workload Recognition Using EEG Signals and Machine Learning: A Review. IEEE Trans. Cogn. Dev. Syst. 14(3): 799-818 (2022) - [j130]Shuo Huang, Liang Sun, Muhammad Yousefnezhad, Meiling Wang, Daoqiang Zhang:
Temporal Information-Guided Generative Adversarial Networks for Stimuli Image Reconstruction From Human Brain Activities. IEEE Trans. Cogn. Dev. Syst. 14(3): 1104-1118 (2022) - [j129]Xin Zhang, Liangxiu Han, Wenyong Zhu, Liang Sun, Daoqiang Zhang:
An Explainable 3D Residual Self-Attention Deep Neural Network for Joint Atrophy Localization and Alzheimer's Disease Diagnosis Using Structural MRI. IEEE J. Biomed. Health Informatics 26(11): 5289-5297 (2022) - [j128]Ling Chen, Qixing Feng, Xi Yin, Xiangde Min, Lei Shi, Defu Yang, Yen-Wei Chen, Daoqiang Zhang, Wentao Zhu:
A Graph Convolutional Multiple Instance Learning on a Hypersphere Manifold Approach for Diagnosing Chronic Obstructive Pulmonary Disease in CT Images. IEEE J. Biomed. Health Informatics 26(12): 6058-6069 (2022) - [j127]Mengting Xu, Tao Zhang, Daoqiang Zhang:
MedRDF: A Robust and Retrain-Less Diagnostic Framework for Medical Pretrained Models Against Adversarial Attack. IEEE Trans. Medical Imaging 41(8): 2130-2143 (2022) - [j126]Qi Zhu, Ruting Xu, Ran Wang, Xijia Xu, Zhiqiang Zhang, Daoqiang Zhang:
Stacked Topological Preserving Dynamic Brain Networks Representation and Classification. IEEE Trans. Medical Imaging 41(11): 3473-3484 (2022) - [j125]Qi Zhu, Heyang Wang, Bingliang Xu, Zhiqiang Zhang, Wei Shao, Daoqiang Zhang:
Multimodal Triplet Attention Network for Brain Disease Diagnosis. IEEE Trans. Medical Imaging 41(12): 3884-3894 (2022) - [c119]Bingliang Xu, Haizhou Ye, Zheng Zhang, Daoqiang Zhang, Qi Zhu:
Dictionary-Induced Manifold Learning for Incomplete Multi-modal Fusion. APWeb/WAIM (2) 2022: 529-537 - [c118]Zongxiang Pei, Daoqiang Zhang, Wei Shao:
Efficient Metric Learning with Graph Transformer for Accurate Colorectal Cancer Staging. BHI 2022: 1-6 - [c117]Xuyun Wen, Qumei Cao, Daoqiang Zhang:
A Multi-Scale Multi-Hop Graph Convolution Network for Predicting Fluid Intelligence via Functional Connectivity. BIBM 2022: 1262-1267 - [c116]Yanling Liu, Yueying Zhou, Daoqiang Zhang:
TcT: Temporal and channel Transformer for EEG-based Emotion Recognition. CBMS 2022: 366-371 - [c115]Ao Shen, Liang Sun, Mengting Xu, Daoqiang Zhang:
Region-Based Dense Adversarial Generation for Medical Image Segmentation. CICAI (3) 2022: 107-118 - [c114]Zongxiang Pei, Yingli Zuo, Liang Sun, Meiling Wang, Daoqiang Zhang, Wei Shao:
Integrative Analysis of Multi-view Histopathological Image Features for the Diagnosis of Lung Cancer. CICAI (2) 2022: 577-587 - [c113]Yueying Zhou, Pengpai Wang, Peiliang Gong, Yanling Liu, Xuyun Wen, Xia Wu, Daoqiang Zhang:
Deep Domain Adaptation for EEG-Based Cross-Subject Cognitive Workload Recognition. ICONIP (5) 2022: 231-242 - [c112]Kai Ma, Xuyun Wen, Qi Zhu, Daoqiang Zhang:
Optimal Transport Based Ordinal Pattern Tree Kernel for Brain Disease Diagnosis. MICCAI (3) 2022: 186-195 - [c111]Yingli Zuo, Yawen Wu, Zixiao Lu, Qi Zhu, Kun Huang, Daoqiang Zhang, Wei Shao:
Identify Consistent Imaging Genomic Biomarkers for Characterizing the Survival-Associated Interactions Between Tumor-Infiltrating Lymphocytes and Tumors. MICCAI (2) 2022: 222-231 - [c110]Yanting Xie, Hongen Liao, Daoqiang Zhang, Fang Chen:
Uncertainty-aware Cascade Network for Ultrasound Image Segmentation with Ambiguous Boundary. MICCAI (4) 2022: 268-278 - [c109]Rongjun Ge, Yuting He, Cong Xia, Hailong Sun, Yikun Zhang, Dianlin Hu, Sijie Chen, Yang Chen, Shuo Li, Daoqiang Zhang:
DDPNet: A Novel Dual-Domain Parallel Network for Low-Dose CT Reconstruction. MICCAI (6) 2022: 748-757 - [c108]Liutao Yang, Rongjun Ge, Shichang Feng, Daoqiang Zhang:
Learning Projection Views for Sparse-View CT Reconstruction. ACM Multimedia 2022: 2645-2653 - [c107]Yongqing Kou, Rongjun Ge, Daoqiang Zhang:
3D MRI Cardiac Segmentation Under Respiratory Motion Artifacts. STACOM@MICCAI 2022: 457-465 - [i34]Mengting Xu, Tao Zhang, Zhongnian Li, Daoqiang Zhang:
Scale-Invariant Adversarial Attack for Evaluating and Enhancing Adversarial Defenses. CoRR abs/2201.12527 (2022) - [i33]Liutao Yang, Zhongnian Li, Rongjun Ge, Junyong Zhao, Haipeng Si, Daoqiang Zhang:
Low-Dose CT Denoising via Sinogram Inner-Structure Transformer. CoRR abs/2204.03163 (2022) - [i32]Mengting Xu, Tao Zhang, Zhongnian Li, Daoqiang Zhang:
InfoAT: Improving Adversarial Training Using the Information Bottleneck Principle. CoRR abs/2206.12292 (2022) - [i31]Samson B. Akintoye, Liangxiu Han, Huw Lloyd, Xin Zhang, Darren Dancey, Haoming Chen, Daoqiang Zhang:
Layer-Wise Partitioning and Merging for Efficient and Scalable Deep Learning. CoRR abs/2207.11019 (2022) - [i30]Zhongnian Li, Liutao Yang, Zhongchen Ma, Tongfeng Sun, Xinzheng Xu, Daoqiang Zhang:
Learning from Positive and Unlabeled Data with Augmented Classes. CoRR abs/2207.13274 (2022) - [i29]Lianyu Wang, Meng Wang, Daoqiang Zhang, Huazhu Fu:
Unsupervised Domain Adaptation via Style-Aware Self-intermediate Domain. CoRR abs/2209.01870 (2022) - [i28]Zhongnian Li, Jian Zhang, Mengting Xu, Xinzheng Xu, Daoqiang Zhang:
Complementary Labels Learning with Augmented Classes. CoRR abs/2211.10701 (2022) - 2021
- [j124]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) - [j123]Jing Li, Xuejun Liu, Daoqiang Zhang:
Detecting differential transcript usage across multiple conditions for RNA-seq data based on the smoothed LDA model. Frontiers Comput. Sci. 15(3): 153319 (2021) - [j122]Shuo Huang, Wei Shao, Mei-Ling Wang, Daoqiang Zhang:
fMRI-based Decoding of Visual Information from Human Brain Activity: A Brief Review. Int. J. Autom. Comput. 18(2): 170-184 (2021) - [j121]Mengting Xu, Tao Zhang, Zhongnian Li, Mingxia Liu, Daoqiang Zhang:
Towards evaluating the robustness of deep diagnostic models by adversarial attack. Medical Image Anal. 69: 101977 (2021) - [j120]Mingliang Wang, Jiashuang Huang, Mingxia Liu, Daoqiang Zhang:
Modeling dynamic characteristics of brain functional connectivity networks using resting-state functional MRI. Medical Image Anal. 71: 102063 (2021) - [j119]Muhammad Yousefnezhad, Jeffrey Sawalha, Alessandro Selvitella, Daoqiang Zhang:
Deep Representational Similarity Learning for Analyzing Neural Signatures in Task-based fMRI Dataset. Neuroinformatics 19(3): 417-431 (2021) - [j118]Rui Zhang, Qi Zhu, Xiangyu Xu, Daoqiang Zhang, Sheng-Jun Huang:
Visual-guided attentive attributes embedding for zero-shot learning. Neural Networks 143: 709-718 (2021) - [j117]Lixiang Xu, Lu Bai, Xiaoyi Jiang, Ming Tan, Daoqiang Zhang, Bin Luo:
Deep Rényi entropy graph kernel. Pattern Recognit. 111: 107668 (2021) - [j116]Muhammad Yousefnezhad, Alessandro Selvitella, Liangxiu Han, Daoqiang Zhang:
Supervised Hyperalignment for Multisubject fMRI Data Alignment. IEEE Trans. Cogn. Dev. Syst. 13(3): 475-490 (2021) - [j115]Meiling Wang, Wei Shao, Xiaoke Hao, Li Shen, Daoqiang Zhang:
Identify Consistent Cross-Modality Imaging Genetic Patterns via Discriminant Sparse Canonical Correlation Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1549-1561 (2021) - [j114]Guoyan Zheng, Daoqiang Zhang, Wenbing Zhao:
Guest Editorial Multi-Modal Computing for Biomedical Intelligence Systems. IEEE J. Biomed. Health Informatics 25(9): 3256-3257 (2021) - [j113]Peng Wan, Fang Chen, Chunrui Liu, Wentao Kong, Daoqiang Zhang:
Hierarchical Temporal Attention Network for Thyroid Nodule Recognition Using Dynamic CEUS Imaging. IEEE Trans. Medical Imaging 40(6): 1646-1660 (2021) - [j112]Meiling Wang, Wei Shao, Xiaoke Hao, Daoqiang Zhang:
Identify Complex Imaging Genetic Patterns via Fusion Self-Expressive Network Analysis. IEEE Trans. Medical Imaging 40(6): 1673-1686 (2021) - [j111]Wenyong Zhu, Liang Sun, Jiashuang Huang, Liangxiu Han, Daoqiang Zhang:
Dual Attention Multi-Instance Deep Learning for Alzheimer's Disease Diagnosis With Structural MRI. IEEE Trans. Medical Imaging 40(9): 2354-2366 (2021) - [j110]Nuoya Xu, Qi Zhu, Xiangyu Xu, Daoqiang Zhang:
An effective recognition approach for contactless palmprint. Vis. Comput. 37(4): 695-705 (2021) - [c106]Xuyun Wen, Daoqiang Zhang:
A Multi-Layer Random Walk Method for Local Dynamic Community Detection in Brain Functional Network. BIBM 2021: 1098-1103 - [c105]Mengting Xu, Tao Zhang, Zhongnian Li, Daoqiang Zhang:
A Consistency Regularization for Certified Robust Neural Networks. CICAI (2) 2021: 27-38 - [c104]Pengpai Wang, Yueying Zhou, Zhongnian Li, Daoqiang Zhang:
GBCI: Adaptive Frequency Band Learning for Gender Recognition in Brain-Computer Interfaces. CICAI 2021: 213-224 - [c103]Yanting Xie, Hongen Liao, Daoqiang Zhang, Lei Zhou, Fang Chen:
Image-Based 3D Ultrasound Reconstruction with Optical Flow via Pyramid Warping Network. EMBC 2021: 3539-3542 - [c102]Haiyu Zhou, Daoqiang Zhang:
Graph-In-Graph Convolutional Networks For Brain Disease Diagnosis. ICIP 2021: 111-115 - [c101]Liutao Yang, Zhongnian Li, Zongxiang Pei, Daoqiang Zhang:
Fs-Net: Filter Selection Network For Hyperspectral Reconstruction. ICIP 2021: 2933-2937 - [c100]Xiaoxin Wang, Xuyun Wen, Kai Ma, Daoqiang Zhang:
A Multilayer Maximum Spanning Tree Kernel For Brain Networks. ISBI 2021: 1582-1585 - [c99]Meiling Wang, Wei Shao, Shuo Huang, Daoqiang Zhang:
Deep Self-Reconstruction Sparse Canonical Correlation Analysis For Brain Imaging Genetics. ISBI 2021: 1790-1793 - [c98]Jinyi Zhang, Daoqiang Zhang:
Dual-Attention Network for Acute Pancreatitis Lesion Detection with CT Images. MICAD 2021: 238-250 - [c97]Peng Wan, Chunrui Liu, Fang Chen, Jing Qin, Daoqiang Zhang:
Identifying Quantitative and Explanatory Tumor Indexes from Dynamic Contrast Enhanced Ultrasound. MICCAI (8) 2021: 638-647 - [c96]Zhongnian Li, Tao Zhang, Wei Shao, Songcan Chen, Daoqiang Zhang:
Sign-aware Perturbations Regression. SDM 2021: 396-404 - [i27]Mengting Xu, Tao Zhang, Zhongnian Li, Mingxia Liu, Daoqiang Zhang:
Towards Evaluating the Robustness of Deep Diagnostic Models by Adversarial Attack. CoRR abs/2103.03438 (2021) - [i26]Samson B. Akintoye, Liangxiu Han, Xin Zhang, Haoming Chen, Daoqiang Zhang:
A Hybrid Parallelization Approach for Distributed and Scalable Deep Learning. CoRR abs/2104.05035 (2021) - [i25]Mengting Xu, Tao Zhang, Daoqiang Zhang:
MedRDF: A Robust and Retrain-Less Diagnostic Framework for Medical Pretrained Models Against Adversarial Attack. CoRR abs/2111.14564 (2021) - 2020
- [j109]Liangxiu Han, Daoqiang Zhang, Omer F. Rana, Yi Pan, Sohail Jabbar, Mazin Yousif, Moayad Aloqaily:
IEEE Access Special Section Editorial: Scalable Deep Learning for Big Data. IEEE Access 8: 216617-216622 (2020) - [j108]Wei Shao, Yao Peng, Chen Zu, Mingliang Wang, Daoqiang Zhang:
Hypergraph based multi-task feature selection for multimodal classification of Alzheimer's disease. Comput. Medical Imaging Graph. 80: 101663 (2020) - [j107]Fang Chen, Zhe Zhao, Jia Liu, Xiwen Cui, Daoqiang Zhang, Xiu-yun Su, Jing-xin Zhao, Peifu Tang, Hongen Liao:
Automatic estimation of morphological characteristics of proximal tibia for precise plate treatment using model matching. Comput. Medical Imaging Graph. 81: 101714 (2020) - [j106]Fang Chen, Xiwen Cui, Zhe Zhao, Daoqiang Zhang, Cong Ma, Xinran Zhang, Hongen Liao:
Gait acquisition and analysis system for osteoarthritis based on hybrid prediction model. Comput. Medical Imaging Graph. 85: 101782 (2020) - [j105]Qi Zhu, Rui Zhang, Sheng-Jun Huang, Zheng Zhang, Daoqiang Zhang:
LGSLRR: Towards fusing discriminative ordinal local and global structured low-rank representation for image recognition. Inf. Sci. 539: 522-535 (2020) - [j104]Xiaoke Hao, Yongjin Bao, Yingchun Guo, Ming Yu, Daoqiang Zhang, Shannon L. Risacher, Andrew J. Saykin, Xiaohui Yao, Li Shen:
Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease. Medical Image Anal. 60 (2020) - [j103]Jiashuang Huang, Mingliang Wang, Xijia Xu, Biao Jie, Daoqiang Zhang:
A novel node-level structure embedding and alignment representation of structural networks for brain disease analysis. Medical Image Anal. 65: 101755 (2020) - [j102]Wei Shao, Tongxin Wang, Liang Sun, Tianhan Dong, Zhi Han, Zhi Huang, Jie Zhang, Daoqiang Zhang, Kun Huang:
Multi-task multi-modal learning for joint diagnosis and prognosis of human cancers. Medical Image Anal. 65: 101795 (2020) - [j101]Qi Zhu, Nuoya Xu, Sheng-Jun Huang, Jianjun Qian, Daoqiang Zhang:
Adaptive feature weighting for robust Lp-norm sparse representation with application to biometric image classification. Int. J. Mach. Learn. Cybern. 11(2): 463-474 (2020) - [j100]Qi Zhu, Nuoya Xu, Zheng Zhang, Donghai Guan, Ran Wang, Daoqiang Zhang:
Cross-spectral palmprint recognition with low-rank canonical correlation analysis. Multim. Tools Appl. 79(45-46): 33771-33792 (2020) - [j99]Mingliang Wang, Xiaoke Hao, Jiashuang Huang, Kangcheng Wang, Li Shen, Xijia Xu, Daoqiang Zhang, Mingxia Liu:
Hierarchical Structured Sparse Learning for Schizophrenia Identification. Neuroinformatics 18(1): 43-57 (2020) - [j98]Qi Zhu, Xiangyu Xu, Ning Yuan, Zheng Zhang, Donghai Guan, Sheng-Jun Huang, Daoqiang Zhang:
Latent correlation embedded discriminative multi-modal data fusion. Signal Process. 171: 107466 (2020) - [j97]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) - [j96]Fang Chen, Xiwen Cui, Jia Liu, Boxuan Han, Xinran Zhang, Daoqiang Zhang, Hongen Liao:
Tissue Structure Updating for In Situ Augmented Reality Navigation Using Calibrated Ultrasound and Two-Level Surface Warping. IEEE Trans. Biomed. Eng. 67(11): 3211-3222 (2020) - [j95]Wei Shao, Sheng-Jun Huang, Mingxia Liu, Daoqiang Zhang:
Querying Representative and Informative Super-Pixels for Filament Segmentation in Bioimages. IEEE ACM Trans. Comput. Biol. Bioinform. 17(4): 1394-1405 (2020) - [j94]Liang Sun, Wei Shao, Mingliang Wang, Daoqiang Zhang, Mingxia Liu:
High-Order Feature Learning for Multi-Atlas Based Label Fusion: Application to Brain Segmentation With MRI. IEEE Trans. Image Process. 29: 2702-2713 (2020) - [j93]Jiashuang Huang, Qi Zhu, Mingliang Wang, Luping Zhou, Zhiqiang Zhang, Daoqiang Zhang:
Coherent Pattern in Multi-Layer Brain Networks: Application to Epilepsy Identification. IEEE J. Biomed. Health Informatics 24(9): 2609-2620 (2020) - [j92]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) - [j91]Fang Chen, Jia Liu, Xinran Zhang, Daoqiang Zhang, Hongen Liao:
Improved 3D Catheter Shape Estimation Using Ultrasound Imaging for Endovascular Navigation: A Further Study. IEEE J. Biomed. Health Informatics 24(12): 3616-3629 (2020) - [j90]Wei Shao, Kun Huang, Zhi Han, Jun Cheng, Liang Cheng, Tongxin Wang, Liang Sun, Zixiao Lu, Jie Zhang, Daoqiang Zhang:
Integrative Analysis of Pathological Images and Multi-Dimensional Genomic Data for Early-Stage Cancer Prognosis. IEEE Trans. Medical Imaging 39(1): 99-110 (2020) - [j89]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) - [j88]Liang Sun, Wei Shao, Daoqiang Zhang, Mingxia Liu:
Anatomical Attention Guided Deep Networks for ROI Segmentation of Brain MR Images. IEEE Trans. Medical Imaging 39(6): 2000-2012 (2020) - [j87]Jiashuang Huang, Luping Zhou, Lei Wang, Daoqiang Zhang:
Attention-Diffusion-Bilinear Neural Network for Brain Network Analysis. IEEE Trans. Medical Imaging 39(7): 2541-2552 (2020) - [c95]Weida Li, Mingxia Liu, Fang Chen, Daoqiang Zhang:
Graph-Based Decoding Model for Functional Alignment of Unaligned fMRI Data. AAAI 2020: 2653-2660 - [c94]Shuo Huang, Liang Sun, Muhammad Yousefnezhad, Meiling Wang, Daoqiang Zhang:
Perceived Image Reconstruction from Human Brain Activity via Time-Series Information Guided Generative Adversarial Networks. ICONIP (5) 2020: 156-163 - [c93]Zhenxing Xu, Peng Wan, Gulibire Aihemaiti, Daoqiang Zhang:
Exploiting Saliency in Attention Based Convolutional Neural Network for Classification of Vertical Root Fractures. ICPR Workshops (1) 2020: 376-388 - [c92]Peng Wan, Fang Chen, Xiaowei Zhu, Chunrui Liu, Yidan Zhang, Wentao Kong, Daoqiang Zhang:
CEUS-Net: Lesion Segmentation in Dynamic Contrast-Enhanced Ultrasound with Feature-Reweighted Attention Mechanism. ISBI 2020: 1816-1819 - [c91]Jing Yang, Qi Zhu, Rui Zhang, Jiashuang Huang, Daoqiang Zhang:
Unified Brain Network with Functional and Structural Data. MICCAI (7) 2020: 114-123 - [c90]Chunxiang Feng, Biao Jie, Xintao Ding, Daoqiang Zhang, Mingxia Liu:
Constructing High-Order Dynamic Functional Connectivity Networks from Resting-State fMRI for Brain Dementia Identification. MLMI@MICCAI 2020: 303-311 - [c89]Junyi Zhang, Peng Wan, Daoqiang Zhang:
Transport-Based Joint Distribution Alignment for Multi-site Autism Spectrum Disorder Diagnosis Using Resting-State fMRI. MICCAI (2) 2020: 444-453 - [c88]Zhongnian Li, Tao Zhang, Ruoyu Chen, Daoqiang Zhang:
MRI Measurement Matrix Learning via Correlation Reweighting. ACM Multimedia 2020: 2737-2745 - [c87]Muhammad Yousefnezhad, Alessandro Selvitella, Daoqiang Zhang, Andrew J. Greenshaw, Russell Greiner:
Shared Space Transfer Learning for analyzing multi-site fMRI data. NeurIPS 2020 - [c86]Peng Wan, Daoqiang Zhang:
Depth-Adaptive Discriminant Projection with Optimal Transport. PRCV (2) 2020: 164-174 - [c85]Jiashuang Huang, Xu Li, Mingliang Wang, Daoqiang Zhang:
Hierarchical Representation Learning of Dynamic Brain Networks for Schizophrenia Diagnosis. PRCV (2) 2020: 470-479 - [i24]Muhammad Yousefnezhad, Alessandro Selvitella, Liangxiu Han, Daoqiang Zhang:
Supervised Hyperalignment for multi-subject fMRI data alignment. CoRR abs/2001.02894 (2020) - [i23]Weida Li, Mingxia Liu, Daoqiang Zhang:
Nyström Subspace Learning for Large-scale SVMs. CoRR abs/2002.08937 (2020) - [i22]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) - [i21]Li Zhang, Mingliang Wang, Mingxia Liu, Daoqiang Zhang:
A Survey on Deep Learning for Neuroimaging-based Brain Disorder Analysis. CoRR abs/2005.04573 (2020) - [i20]Xin Zhang, Liangxiu Han, Wenyong Zhu, Liang Sun, Daoqiang Zhang:
An Explainable 3D Residual Self-Attention Deep Neural Network FOR Joint Atrophy Localization and Alzheimer's Disease Diagnosis using Structural MRI. CoRR abs/2008.04024 (2020) - [i19]Kai Ma, Biao Jie, Wei Shao, Daoqiang Zhang:
Ordinal Pattern Kernel for Brain Connectivity Network Classification. CoRR abs/2008.07719 (2020) - [i18]Muhammad Yousefnezhad, Jeffrey Sawalha, Alessandro Selvitella, Daoqiang Zhang:
Deep Representational Similarity Learning for analyzing neural signatures in task-based fMRI dataset. CoRR abs/2010.02012 (2020) - [i17]Yuang Shi, Chen Zu, Mei Hong, Luping Zhou, Lei Wang, Xi Wu, Jiliu Zhou, Daoqiang Zhang, Yan Wang:
ASMFS: Adaptive-Similarity-based Multi-modality Feature Selection for Classification of Alzheimer's Disease. CoRR abs/2010.08190 (2020) - [i16]Muhammad Yousefnezhad, Alessandro Selvitella, Daoqiang Zhang, Andrew J. Greenshaw, Russell Greiner:
Shared Space Transfer Learning for analyzing multi-site fMRI data. CoRR abs/2010.15594 (2020) - [i15]Kai Ma, Peng Wan, Daoqiang Zhang:
Transport based Graph Kernels. CoRR abs/2011.00745 (2020) - [i14]Mengting Xu, Tao Zhang, Zhongnian Li, Wei Shao, Daoqiang Zhang:
Improving the Certified Robustness of Neural Networks via Consistency Regularization. CoRR abs/2012.13103 (2020)
2010 – 2019
- 2019
- [j86]Liang Sun, Chen Zu, Wei Shao, Junye Guang, Daoqiang Zhang, Mingxia Liu:
Reliability-based robust multi-atlas label fusion for brain MRI segmentation. Artif. Intell. Medicine 96: 12-24 (2019) - [j85]Meiling Wang, Xiaoke Hao, Jiashuang Huang, Wei Shao, Daoqiang Zhang:
Discovering network phenotype between genetic risk factors and disease status via diagnosis-aligned multi-modality regression method in Alzheimer's disease. Bioinform. 35(11): 1948-1957 (2019) - [j84]Zuoyong Li, Zhaochai Yu, Weixia Liu, Yong Xu, Daoqiang Zhang, Yong Cheng:
Tongue image segmentation via color decomposition and thresholding. Concurr. Comput. Pract. Exp. 31(23) (2019) - [j83]Qi Zhu, Ning Yuan, Jiashuang Huang, Xiaoke Hao, Daoqiang Zhang:
Multi-modal AD classification via self-paced latent correlation analysis. Neurocomputing 355: 143-154 (2019) - [j82]Weixia Liu, Jinmei Hu, Zuoyong Li, Zuchang Zhang, Zhongli Ma, Daoqiang Zhang:
Tongue Image Segmentation via Thresholding and Gray Projection. KSII Trans. Internet Inf. Syst. 13(2): 945-961 (2019) - [j81]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) - [j80]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) - [j79]Muhammad Yousefnezhad, Daoqiang Zhang:
Multi-Objective Cognitive Model: a Supervised Approach for Multi-subject fMRI Analysis. Neuroinformatics 17(2): 197-210 (2019) - [j78]Xiaoke Hao, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Jintai Yu, Huifu Wang, Lan Tan, Li Shen, Daoqiang Zhang:
Identifying Candidate Genetic Associations with MRI-Derived AD-Related ROI via Tree-Guided Sparse Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 16(6): 1986-1996 (2019) - [j77]Jiashuang Huang, Qi Zhu, Xiaoke Hao, Xiaomeng Shi, Shuzhan Gao, Xijia Xu, Daoqiang Zhang:
Identifying Resting-State Multifrequency Biomarkers via Tree-Guided Group Sparse Learning for Schizophrenia Classification. IEEE J. Biomed. Health Informatics 23(1): 342-350 (2019) - [c84]Zhongnian Li, Tao Zhang, Peng Wan, Daoqiang Zhang:
SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction. AAAI 2019: 1012-1019 - [c83]Mingliang Wang, Jiashuang Huang, Mingxia Liu, Daoqiang Zhang:
Functional Connectivity Network Analysis with Discriminative Hub Detection for Brain Disease Identification. AAAI 2019: 1198-1205 - [c82]Ruoyu Chen, Zhongnian Li, Daoqiang Zhang:
Adaptive Joint Attention with Reinforcement Training for Convolutional Image Caption. HBAI@IJCAI 2019: 235-247 - [c81]Zhenxing Xu, Junyi Zhang, Daoqiang Zhang, Hanyu Wei:
A New Network Traffic Identification Base on Deep Factorization Machine. IScIDE (2) 2019: 209-218 - [c80]Huijie Li, Qi Zhu, Rui Zhang, Daoqiang Zhang:
Multi-modality Low-Rank Learning Fused First-Order and Second-Order Information for Computer-Aided Diagnosis of Schizophrenia. IScIDE (2) 2019: 356-368 - [c79]Weida Li, Fang Chen, Daoqiang Zhang:
Graph Hyperalignment for Multi-subject fMRI Functional Alignment. GLMI@MICCAI 2019: 1-8 - [c78]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 - [c77]Wei Shao, Tongxin Wang, Zhi Huang, Jun Cheng, Zhi Han, Daoqiang Zhang, Kun Huang:
Diagnosis-Guided Multi-modal Feature Selection for Prognosis Prediction of Lung Squamous Cell Carcinoma. MICCAI (4) 2019: 113-121 - [c76]Junwei Li, Wei Shao, Zhongnian Li, Weida Li, Daoqiang Zhang:
Residual Attention Generative Adversarial Networks for Nuclei Detection on Routine Colon Cancer Histology Images. MLMI@MICCAI 2019: 142-150 - [c75]Jiashuang Huang, Luping Zhou, Lei Wang, Daoqiang Zhang:
Integrating Functional and Structural Connectivities via Diffusion-Convolution-Bilinear Neural Network. MICCAI (3) 2019: 691-699 - [c74]Tao Zhang, Zhongnian Li, Qi Zhu, Daoqiang Zhang:
Improved Procedures for Training Primal Wasserstein GANs. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 1601-1607 - [c73]You Jiang, Zhongnian Li, Daoqiang Zhang:
Unsupervised Domain Adaptation for Multi-Center Autism Spectrum Disorder Identification. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 1608-1613 - [e5]An Zeng, Dan Pan, Tianyong Hao, Daoqiang Zhang, Yiyu Shi, Xiaowei Song:
Human Brain and Artificial Intelligence - First International Workshop, HBAI 2019, Held in Conjunction with IJCAI 2019, Macao, China, August 12, 2019, Revised Selected Papers. Communications in Computer and Information Science 1072, Springer 2019, ISBN 978-981-15-1397-8 [contents] - [e4]Daoqiang Zhang, Luping Zhou, Biao Jie, Mingxia Liu:
Graph Learning in Medical Imaging - First International Workshop, GLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings. Lecture Notes in Computer Science 11849, Springer 2019, ISBN 978-3-030-35816-7 [contents] - [i13]Zhongnian Li, Tao Zhang, Daoqiang Zhang:
SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction. CoRR abs/1902.06455 (2019) - [i12]Weida Li, Fang Chen, Daoqiang Zhang:
A Graph-Based Decoding Model for Incomplete Multi-Subject fMRI Functional Alignment. CoRR abs/1905.05468 (2019) - 2018
- [j76]Qi Zhu, Jiuwen Zhu, Mingxia Liu, Xijia Xu, Daoqiang Zhang:
Multi-Region Correlation Based Functional Brain Network for Disease Diagnosis and Cognitive States Detection. IEEE Access 6: 78065-78076 (2018) - [j75]Muhammad Yousefnezhad, Daoqiang Zhang:
Anatomical Pattern Analysis for Decoding Visual Stimuli in Human Brains. Cogn. Comput. 10(2): 284-295 (2018) - [j74]Wei Shao, Mingxia Liu, Ying-Ying Xu, Hong-Bin Shen, Daoqiang Zhang:
An Organelle Correlation-Guided Feature Selection Approach for Classifying Multi-Label Subcellular Bio-Images. IEEE ACM Trans. Comput. Biol. Bioinform. 15(3): 828-838 (2018) - [j73]Muhammad Yousefnezhad, Sheng-Jun Huang, Daoqiang Zhang:
WoCE: A framework for Clustering Ensemble by Exploiting the Wisdom of Crowds Theory. IEEE Trans. Cybern. 48(2): 486-499 (2018) - [j72]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) - [j71]Daoqiang Zhang, Jiashuang Huang, Biao Jie, Junqiang Du, Liyang Tu, Mingxia Liu:
Ordinal Pattern: A New Descriptor for Brain Connectivity Networks. IEEE Trans. Medical Imaging 37(7): 1711-1722 (2018) - [j70]Yuli Zhang, Yuhua Xu, Qihui Wu, Yunpeng Luo, Yitao Xu, Xueqiang Chen, Alagan Anpalagan, Daoqiang Zhang:
Context Awareness Group Buying in D2D Networks: A Coalition Formation Game-Theoretic Approach. IEEE Trans. Veh. Technol. 67(12): 12259-12272 (2018) - [c72]Wei Shao, Liang Sun, Daoqiang Zhang:
Deep active learning for nucleus classification in pathology images. ISBI 2018: 199-202 - [c71]Chen Zu, Yan Wang, Luping Zhou, Lei Wang, Daoqiang Zhang:
Multi-modality feature selection with adaptive similarity learning for classification of Alzheimer's disease. ISBI 2018: 1542-1545 - [c70]Yi Ding, Weiqing Liu, Jiang Bian, Daoqiang Zhang, Tie-Yan Liu:
Investor-Imitator: A Framework for Trading Knowledge Extraction. KDD 2018: 1310-1319 - [c69]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 - [c68]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 - [c67]Wei Shao, Jun Cheng, Liang Sun, Zhi Han, Qianjin Feng, Daoqiang Zhang, Kun Huang:
Ordinal Multi-modal Feature Selection for Survival Analysis of Early-Stage Renal Cancer. MICCAI (2) 2018: 648-656 - [c66]Xiaoliang Sheng, Muhammad Yousefnezhad, Tonglin Xu, Ning Yuan, Daoqiang Zhang:
Gradient-Based Representational Similarity Analysis with Searchlight for Analyzing fMRI Data. PRCV (3) 2018: 304-315 - [c65]Tonglin Xu, Muhammad Yousefnezhad, Daoqiang Zhang:
Gradient Hyperalignment for Multi-subject fMRI Data Alignment. PRICAI (1) 2018: 1058-1068 - [c64]Bingcheng Mao, Jiashuang Huang, Daoqiang Zhang:
Node Based Row-Filter Convolutional Neural Network for Brain Network Classification. PRICAI (1) 2018: 1069-1080 - [i11]Tonglin Xu, Muhammad Yousefnezhad, Daoqiang Zhang:
Gradient Hyperalignment for multi-subject fMRI data alignment. CoRR abs/1807.02612 (2018) - [i10]Muhammad Yousefnezhad, Daoqiang Zhang:
Multi-Objective Cognitive Model: a supervised approach for multi-subject fMRI analysis. CoRR abs/1808.01642 (2018) - [i9]Xiaoliang Sheng, Muhammad Yousefnezhad, Tonglin Xu, Ning Yuan, Daoqiang Zhang:
Gradient-based Representational Similarity Analysis with Searchlight for Analyzing fMRI Data. CoRR abs/1809.04429 (2018) - 2017
- [j69]Xiaoke Hao, Chanxiu Li, Jingwen Yan, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Daoqiang Zhang:
Identification of associations between genotypes and longitudinal phenotypes via temporally-constrained group sparse canonical correlation analysis. Bioinform. 33(14): i341-i349 (2017) - [j68]Wei Shao, Yi Ding, Hong-Bin Shen, Daoqiang Zhang:
Deep model-based feature extraction for predicting protein subcellular localizations from bio-images. Frontiers Comput. Sci. 11(2): 243-252 (2017) - [j67]Dan Zhang, Qi Zhu, Daoqiang Zhang:
Multi-modal dimensionality reduction using effective distance. Neurocomputing 259: 130-139 (2017) - [j66]Chen Zu, Linling Zhu, Daoqiang Zhang:
Iterative sparsity score for feature selection and its extension for multimodal data. Neurocomputing 259: 146-153 (2017) - [j65]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) - [j64]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) - [j63]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) - [c63]Muhammad Yousefnezhad, Daoqiang Zhang:
Local Discriminant Hyperalignment for Multi-Subject fMRI Data Alignment. AAAI 2017: 59-65 - [c62]Liang Sun, Wei Shao, Daoqiang Zhang:
High-order boltzmann machine-based unsupervised feature learning for multi-atlas segmentation. ISBI 2017: 507-510 - [c61]Mingliang Wang, Xiaoke Hao, Jiashuang Huang, Kangcheng Wang, Xijia Xu, Daoqiang Zhang:
Multi-level Multi-task Structured Sparse Learning for Diagnosis of Schizophrenia Disease. MICCAI (3) 2017: 46-54 - [c60]Muhammad Yousefnezhad, Daoqiang Zhang:
Deep Hyperalignment. NIPS 2017: 1604-1612 - [c59]Yi Ding, Sheng-Jun Huang, Chen Zu, Daoqiang Zhang:
Margin Distribution Logistic Machine. SDM 2017: 19-27 - [c58]Muhammad Yousefnezhad, Daoqiang Zhang:
Multi-Region Neural Representation: A novel model for decoding visual stimuli in human brains. SDM 2017: 54-62 - [i8]Muhammad Yousefnezhad, Daoqiang Zhang:
Anatomical Pattern Analysis for decoding visual stimuli in human brains. CoRR abs/1710.02113 (2017) - [i7]Muhammad Yousefnezhad, Daoqiang Zhang:
Deep Hyperalignment. CoRR abs/1710.03923 (2017) - 2016
- [j62]Wei Shao, Mingxia Liu, Daoqiang Zhang:
Human cell structure-driven model construction for predicting protein subcellular location from biological images. Bioinform. 32(1): 114-121 (2016) - [j61]Junqiang Du, Lipeng Wang, Biao Jie, Daoqiang Zhang:
Network-based classification of ADHD patients using discriminative subnetwork selection and graph kernel PCA. Comput. Medical Imaging Graph. 52: 82-88 (2016) - [j60]Muhammad Yousefnezhad, Ali Reihanian, Daoqiang Zhang, Behrouz Minaei-Bidgoli:
A new selection strategy for selective cluster ensemble based on Diversity and Independency. Eng. Appl. Artif. Intell. 56: 260-272 (2016) - [j59]Yanyan Zhang, Jianchun Zhang, Zhisong Pan, Daoqiang Zhang:
Multi-view dimensionality reduction via canonical random correlation analysis. Frontiers Comput. Sci. 10(5): 856-869 (2016) - [j58]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) - [j57]Chen Zu, Daoqiang Zhang:
Canonical sparse cross-view correlation analysis. Neurocomputing 191: 263-272 (2016) - [j56]Mingxia Liu, Daoqiang Zhang:
Feature selection with effective distance. Neurocomputing 215: 100-109 (2016) - [j55]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) - [j54]Xiaoke Hao, Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Daoqiang Zhang, Li Shen:
Identifying Multimodal Intermediate Phenotypes Between Genetic Risk Factors and Disease Status in Alzheimer's Disease. Neuroinformatics 14(4): 439-452 (2016) - [j53]Mingxia Liu, Daoqiang Zhang, Songcan Chen, Hui Xue:
Joint Binary Classifier Learning for ECOC-Based Multi-Class Classification. IEEE Trans. Pattern Anal. Mach. Intell. 38(11): 2335-2341 (2016) - [j52]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) - [j51]Mingxia Liu, Daoqiang Zhang:
Pairwise Constraint-Guided Sparse Learning for Feature Selection. IEEE Trans. Cybern. 46(1): 298-310 (2016) - [j50]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) - [c57]Biao Jie, Mingxia Liu, Xi Jiang, Daoqiang Zhang:
Sub-network Based Kernels for Brain Network Classification. BCB 2016: 622-629 - [c56]Muhammad Yousefnezhad, Daoqiang Zhang:
Decoding Visual Stimuli in Human Brain by Using Anatomical Pattern Analysis on fMRI Images. BICS 2016: 47-57 - [c55]Mingxia Liu, Junqiang Du, Biao Jie, Daoqiang Zhang:
Ordinal Patterns for Connectivity Networks in Brain Disease Diagnosis. MICCAI (1) 2016: 1-9 - [c54]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 - [c53]Xiaoke Hao, Jingwen Yan, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Daoqiang Zhang, Li Shen:
Diagnosis-Guided Method for Identifying Multi-Modality Neuroimaging Biomarkers Associated with Genetic Risk Factors in Alzheimer's Disease. PSB 2016: 108-119 - [e3]Hujun Yin, Yang Gao, Bin Li, Daoqiang Zhang, Ming Yang, Yun Li, Frank Klawonn, Antonio J. Tallón-Ballesteros:
Intelligent Data Engineering and Automated Learning - IDEAL 2016 - 17th International Conference, Yangzhou, China, October 12-14, 2016, Proceedings. Lecture Notes in Computer Science 9937, Springer 2016, ISBN 978-3-319-46256-1 [contents] - [i6]Muhammad Yousefnezhad, Daoqiang Zhang:
Weighted Spectral Cluster Ensemble. CoRR abs/1604.07178 (2016) - [i5]Muhammad Yousefnezhad, Daoqiang Zhang:
Decoding visual stimuli in human brain by using Anatomical Pattern Analysis on fMRI images. CoRR abs/1609.00921 (2016) - [i4]Muhammad Yousefnezhad, Ali Reihanian, Daoqiang Zhang, Behrouz Minaei-Bidgoli:
A new selection strategy for selective cluster ensemble based on Diversity and Independency. CoRR abs/1610.02649 (2016) - [i3]Muhammad Yousefnezhad, Daoqiang Zhang:
Local Discriminant Hyperalignment for multi-subject fMRI data alignment. CoRR abs/1611.08366 (2016) - [i2]Muhammad Yousefnezhad, Sheng-Jun Huang, Daoqiang Zhang:
WoCE: a framework for clustering ensemble by exploiting the wisdom of Crowds theory. CoRR abs/1612.06598 (2016) - [i1]Muhammad Yousefnezhad, Daoqiang Zhang:
Multi-Region Neural Representation: A novel model for decoding visual stimuli in human brains. CoRR abs/1612.08392 (2016) - 2015
- [j49]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) - [j48]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) - [j47]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) - [j46]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) - [c52]Muhammad Yousefnezhad, Daoqiang Zhang:
Weighted Spectral Cluster Ensemble. ICDM 2015: 549-558 - [c51]Mingxia Liu, Daoqiang Zhang, Ehsan Adeli-Mosabbeb, Dinggang Shen:
Relationship Induced Multi-atlas Learning for Alzheimer's Disease Diagnosis. MCV@MICCAI 2015: 24-33 - [c50]Liang Sun, Chen Zu, Daoqiang Zhang:
Reliability Guided Forward and Backward Patch-Based Method for Multi-atlas Segmentation. Patch-MI@MICCAI 2015: 128-136 - [c49]Bo Cheng, Mingxia Liu, Daoqiang Zhang:
Multimodal Multi-label Transfer Learning for Early Diagnosis of Alzheimer's Disease. MLMI 2015: 238-245 - [c48]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 - [c47]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 - 2014
- [j45]Fei Fei, Biao Jie, Daoqiang Zhang:
Frequent and Discriminative Subnetwork Mining for Mild Cognitive Impairment Classification. Brain Connect. 4(5): 347-360 (2014) - [j44]Mingxia Liu, Daoqiang Zhang, Songcan Chen:
Attribute relation learning for zero-shot classification. Neurocomputing 139: 34-46 (2014) - [j43]Mingxia Liu, Daoqiang Zhang:
Sparsity Score: a Novel Graph-Preserving Feature Selection Method. Int. J. Pattern Recognit. Artif. Intell. 28(4) (2014) - [j42]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) - [j41]Manhua Liu, Daoqiang Zhang, Dinggang Shen:
Identifying Informative Imaging Biomarkers via Tree Structured Sparse Learning for AD Diagnosis. Neuroinformatics 12(3): 381-394 (2014) - [j40]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) - [j39]Mingxia Liu, Linsong Miao, Daoqiang Zhang:
Two-Stage Cost-Sensitive Learning for Software Defect Prediction. IEEE Trans. Reliab. 63(2): 676-686 (2014) - [c46]Lipeng Wang, Fei Fei, Biao Jie, Daoqiang Zhang:
Combining Multiple Network Features for Mild Cognitive Impairment Classification. ICDM Workshops 2014: 996-1003 - [c45]Biao Jie, Dinggang Shen, Daoqiang Zhang:
Brain Connectivity Hyper-Network for MCI Classification. MICCAI (2) 2014: 724-732 - [c44]Xiaoke Hao, Jintai Yu, Daoqiang Zhang:
Identifying Genetic Associations with MRI-derived Measures via Tree-Guided Sparse Learning. MICCAI (2) 2014: 757-764 - [c43]Biao Jie, Xi Jiang, Chen Zu, Daoqiang Zhang:
The New Graph Kernels on Connectivity Networks for Identification of MCI. MLINI@NIPS 2014: 12-20 - [c42]Chen Zu, Biao Jie, Songcan Chen, Daoqiang Zhang:
Label-Alignment-Based Multi-Task Feature Selection for Multimodal Classification of Brain Disease. MLINI@NIPS 2014: 51-59 - [c41]Fei Fei, Biao Jie, Lipeng Wang, Daoqiang Zhang:
Discriminative subnetwork mining for multiple thresholded connectivity-networks-based classification of mild cognitive impairment. PRNI 2014: 1-4 - [p1]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 - [e2]Guorong Wu, Daoqiang Zhang, Luping Zhou:
Machine Learning in Medical Imaging - 5th International Workshop, MLMI 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 14, 2014. Proceedings. Lecture Notes in Computer Science 8679, Springer 2014, ISBN 978-3-319-10580-2 [contents] - 2013
- [j38]Shan Gao, Chen Zu, Daoqiang Zhang:
Learning mid-perpendicular hyperplane similarity from cannot-link constraints. Neurocomputing 113: 195-203 (2013) - [j37]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) - [j36]Fengshan Wang, Daoqiang Zhang:
A New Locality-Preserving Canonical Correlation Analysis Algorithm for Multi-View Dimensionality Reduction. Neural Process. Lett. 37(2): 135-146 (2013) - [c40]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 - [c39]Biao Jie, Daoqiang Zhang, Heung-Il Suk, Chong-Yaw Wee, Dinggang Shen:
Integrating Multiple Network Properties for MCI Identification. MLMI 2013: 9-16 - [c38]Xiaoke Hao, Daoqiang Zhang:
Ensemble Universum SVM Learning for Multimodal Classification of Alzheimer's Disease. MLMI 2013: 227-234 - [c37]Bo Cheng, Daoqiang Zhang, Biao Jie, Dinggang Shen:
Sparse Multimodal Manifold-Regularized Transfer Learning for MCI Conversion Prediction. MLMI 2013: 251-259 - [c36]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 - [c35]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 - [e1]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] - 2012
- [j35]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) - [j34]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) - [j33]Manhua Liu, Daoqiang Zhang, Dinggang Shen:
Ensemble sparse classification of Alzheimer's disease. NeuroImage 60(2): 1106-1116 (2012) - [j32]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) - [c34]Chen Zu, Daoqiang Zhang:
Sparsity Preserving Canonical Correlation Analysis. CCPR 2012: 56-63 - [c33]Linling Zhu, Linsong Miao, Daoqiang Zhang:
Iterative Laplacian Score for Feature Selection. CCPR 2012: 80-87 - [c32]Qimiao Guo, Daoqiang Zhang:
Semi-Supervised Sparse Label Fusion for Multi-atlas Based Segmentation. CCPR 2012: 471-479 - [c31]Mingxia Liu, Dan Sun, Daoqiang Zhang:
Sparsity Score: A new filter feature selection method based on graph. ICPR 2012: 959-962 - [c30]Linsong Miao, Mingxia Liu, Daoqiang Zhang:
Cost-sensitive feature selection with application in software defect prediction. ICPR 2012: 967-970 - [c29]Mingxia Liu, Songcan Chen, Daoqiang Zhang:
Learning Attribute Relation in Attribute-Based Zero-Shot Classification. IScIDE 2012: 514-521 - [c28]Yinghuan Shi, Shu Liao, Yaozong Gao, Daoqiang Zhang, Yang Gao, Dinggang Shen:
Transductive Prostate Segmentation for CT Image Guided Radiotherapy. MLMI 2012: 1-9 - [c27]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 - [c26]Shu Liao, Daoqiang Zhang, Pew-Thian Yap, Guorong Wu, Dinggang Shen:
Group Sparsity Constrained Automatic Brain Label Propagation. MLMI 2012: 45-53 - [c25]Bo Cheng, Daoqiang Zhang, Dinggang Shen:
Domain Transfer Learning for MCI Conversion Prediction. MICCAI (1) 2012: 82-90 - [c24]Daoqiang Zhang, Qimiao Guo, Guorong Wu, Dinggang Shen:
Sparse Patch-Based Label Fusion for Multi-Atlas Segmentation. MBIA 2012: 94-102 - [c23]Biao Jie, Daoqiang Zhang, Chong-Yaw Wee, Dinggang Shen:
Structural Feature Selection for Connectivity Network-Based MCI Diagnosis. MBIA 2012: 175-184 - [c22]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 - [c21]Manhua Liu, Daoqiang Zhang, Pew-Thian Yap, Dinggang Shen:
Tree-Guided Sparse Coding for Brain Disease Classification. MICCAI (3) 2012: 239-247 - [c20]Daoqiang Zhang, Jun Liu, Dinggang Shen:
Temporally-Constrained Group Sparse Learning for Longitudinal Data Analysis. MICCAI (3) 2012: 264-271 - 2011
- [j31]Shiguo Chen, Daoqiang Zhang:
Semisupervised Dimensionality Reduction With Pairwise Constraints for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 8(2): 369-373 (2011) - [j30]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) - [j29]Jianchun Zhang, Daoqiang Zhang:
A novel ensemble construction method for multi-view data using random cross-view correlation between within-class examples. Pattern Recognit. 44(6): 1162-1171 (2011) - [c19]Daoqiang Zhang, Dinggang Shen:
Semi-supervised multimodal classification of alzheimer's disease. ISBI 2011: 1628-1631 - [c18]Daoqiang Zhang, Dinggang Shen:
Multi-Modal Multi-Task Learning for Joint Prediction of Clinical Scores in Alzheimer's Disease. MBIA 2011: 60-67 - [c17]Bo Cheng, Daoqiang Zhang, Songcan Chen, Dinggang Shen:
Predicting Clinical Scores Using Semi-supervised Multimodal Relevance Vector Regression. MLMI 2011: 241-248 - [c16]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 - [c15]Daoqiang Zhang, Dinggang Shen:
MultiCost: Multi-stage Cost-sensitive Classification of Alzheimer's Disease. MLMI 2011: 344-351 - [c14]Daoqiang Zhang, Guorong Wu, Hongjun Jia, Dinggang Shen:
Confidence-Guided Sequential Label Fusion for Multi-atlas Based Segmentation. MICCAI (3) 2011: 643-650 - 2010
- [j28]Pengfei Huang, Daoqiang Zhang:
Locality sensitive C-means clustering algorithms. Neurocomputing 73(16-18): 2935-2943 (2010) - [j27]Yan Peng, Daoqiang Zhang, Jianchun Zhang:
A New Canonical Correlation Analysis Algorithm with Local Discrimination. Neural Process. Lett. 31(1): 1-15 (2010) - [j26]Xuesong Yin, Songcan Chen, Enliang Hu, Daoqiang Zhang:
Semi-supervised clustering with metric learning: An adaptive kernel method. Pattern Recognit. 43(4): 1320-1333 (2010) - [j25]Dan Sun, Daoqiang Zhang:
Bagging Constraint Score for feature selection with pairwise constraints. Pattern Recognit. 43(6): 2106-2118 (2010) - [j24]Weiling Cai, Songcan Chen, Daoqiang Zhang:
A multiobjective simultaneous learning framework for clustering and classification. IEEE Trans. Neural Networks 21(2): 185-200 (2010) - [j23]Enliang Hu, Songcan Chen, Daoqiang Zhang, Xuesong Yin:
Semisupervised Kernel Matrix Learning by Kernel Propagation. IEEE Trans. Neural Networks 21(11): 1831-1841 (2010) - [c13]Jianchun Zhang, Daoqiang Zhang:
Canonical random correlation analysis. SAC 2010: 1111-1112
2000 – 2009
- 2009
- [j22]Dan Sun, Daoqiang Zhang:
A New Discriminant Principal Component Analysis Method with Partial Supervision. Neural Process. Lett. 30(2): 103-112 (2009) - [j21]Weiling Cai, Songcan Chen, Daoqiang Zhang:
A simultaneous learning framework for clustering and classification. Pattern Recognit. 42(7): 1248-1259 (2009) - [j20]Fei Wang, Xin Wang, Daoqiang Zhang, Changshui Zhang, Tao Li:
marginFace: A novel face recognition method by average neighborhood margin maximization. Pattern Recognit. 42(11): 2863-2875 (2009) - [c12]Daoqiang Zhang, Wanquan Liu:
An Efficient Nonnegative Matrix Factorization Approach in Flexible Kernel Space. IJCAI 2009: 1345-1350 - 2008
- [j19]Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou:
Constraint Score: A new filter method for feature selection with pairwise constraints. Pattern Recognit. 41(5): 1440-1451 (2008) - [j18]Zhe Wang, Songcan Chen, Jun Liu, Daoqiang Zhang:
Pattern Representation in Feature Extraction and Classifier Design: Matrix Versus Vector. IEEE Trans. Neural Networks 19(5): 758-769 (2008) - [c11]Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou, Qiang Yang:
Constraint Projections for Ensemble Learning. AAAI 2008: 758-763 - 2007
- [j17]Jun Liu, Songcan Chen, Xiaoyang Tan, Daoqiang Zhang:
Efficient Pseudoinverse Linear Discriminant Analysis and its Nonlinear Form for Face Recognition. Int. J. Pattern Recognit. Artif. Intell. 21(8): 1265-1278 (2007) - [j16]Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou:
Entropy-Inspired Competitive Clustering Algorithms. Int. J. Softw. Informatics 1(1): 67-84 (2007) - [j15]Weiling Cai, Songcan Chen, Daoqiang Zhang:
Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation. Pattern Recognit. 40(3): 825-838 (2007) - [j14]Weiling Cai, Songcan Chen, Daoqiang Zhang:
Robust fuzzy relational classifier incorporating the soft class labels. Pattern Recognit. Lett. 28(16): 2250-2263 (2007) - [j13]Jun Liu, Songcan Chen, Xiaoyang Tan, Daoqiang Zhang:
Comments on "Efficient and Robust Feature Extraction by Maximum Margin Criterion". IEEE Trans. Neural Networks 18(6): 1862-1864 (2007) - [c10]Daoqiang Zhang:
Two-Dimensional Bayesian Subspace Analysis for Face Recognition. ISNN (2) 2007: 778-784 - [c9]Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen:
Semi-Supervised Dimensionality Reduction. SDM 2007: 629-634 - 2006
- [j12]Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou:
Learning the kernel parameters in kernel minimum distance classifier. Pattern Recognit. 39(1): 133-135 (2006) - [j11]Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen:
Diagonal principal component analysis for face recognition. Pattern Recognit. 39(1): 140-142 (2006) - [c8]Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen:
Adaptive Kernel Principal Component Analysis with Unsupervised Learning of Kernels. ICDM 2006: 1178-1182 - [c7]Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen:
Non-negative Matrix Factorization on Kernels. PRICAI 2006: 404-412 - [c6]Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou:
Recognizing Face or Object from a Single Image: Linear vs. Kernel Methods on 2D Patterns. SSPR/SPR 2006: 889-897 - 2005
- [j10]Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou:
A new face recognition method based on SVD perturbation for single example image per person. Appl. Math. Comput. 163(2): 895-907 (2005) - [j9]Daoqiang Zhang, Songcan Chen:
Fast image compression using matrix K-L transform. Neurocomputing 68: 258-266 (2005) - [j8]Daoqiang Zhang, Zhi-Hua Zhou:
(2D)2PCA: Two-directional two-dimensional PCA for efficient face representation and recognition. Neurocomputing 69(1-3): 224-231 (2005) - [j7]Daoqiang Zhang, Songcan Chen, Keren Tan:
Improving the Robustness of 'Online Agglomerative Clustering Method' Based on Kernel-Induce Distance Measures. Neural Process. Lett. 21(1): 45-51 (2005) - [j6]Songcan Chen, Yulian Zhu, Daoqiang Zhang, Jing-Yu Yang:
Feature extraction approaches based on matrix pattern: MatPCA and MatFLDA. Pattern Recognit. Lett. 26(8): 1157-1167 (2005) - [c5]Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou:
Two-Dimensional Non-negative Matrix Factorization for Face Representation and Recognition. AMFG 2005: 350-363 - [c4]Daoqiang Zhang, Songcan Chen, Jun Liu:
Representing Image Matrices: Eigenimages Versus Eigenvectors. ISNN (2) 2005: 659-664 - 2004
- [j5]Daoqiang Zhang, Songcan Chen:
A novel kernelized fuzzy C-means algorithm with application in medical image segmentation. Artif. Intell. Medicine 32(1): 37-50 (2004) - [j4]Daoqiang Zhang, Songcan Chen:
A comment on "Alternative c-means clustering algorithms". Pattern Recognit. 37(2): 173-174 (2004) - [j3]Songcan Chen, Daoqiang Zhang, Zhi-Hua Zhou:
Enhanced (PC)2 A for face recognition with one training image per person. Pattern Recognit. Lett. 25(10): 1173-1181 (2004) - [j2]Songcan Chen, Daoqiang Zhang:
Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure. IEEE Trans. Syst. Man Cybern. Part B 34(4): 1907-1916 (2004) - [c3]Daoqiang Zhang, Keren Tan, Songcan Chen:
Semi-supervised Kernel-Based Fuzzy C-Means. ICONIP 2004: 1229-1234 - [c2]Keren Tan, Songcan Chen, Daoqiang Zhang:
Robust Image Denoising Using Kernel-Induced Measures. ICPR (4) 2004: 685-688 - [c1]Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou:
Fuzzy-Kernel Learning Vector Quantization. ISNN (1) 2004: 180-185 - 2003
- [j1]Daoqiang Zhang, Songcan Chen:
Clustering Incomplete Data Using Kernel-Based Fuzzy C-means Algorithm. Neural Process. Lett. 18(3): 155-162 (2003)
Coauthor Index
[j194] [j190] [j189] [j187] [j183] [j182] [c146] [c142] [c141] [c136] [i41] [j179] [j174] [j172] [j171] [j167] [j166] [j164] [j159] [j151] [j150] [j149] [c130] [c124] [c122] [j145] [j144] [j125] [c118] [c114] [c111] [j122] [j115] [j112] [c99] [c96] [j108] [j102] [j95] [j94] [j92] [j90] [j88] [i22] [i19] [i14] [j86] [j85] [j80] [c77] [c76] [j74] [c72] [c69] [c67] [j68] [c62] [j62]
[j159] [j124] [j97] [j92] [j89] [i22] [j81] [j80] [c78] [j72] [c69] [c68] [j65] [j64] [j63] [j58] [j55] [j52] [j50] [c54] [j49] [j48] [j47] [j46] [c51] [c48] [c47] [j42] [j41] [j40] [c45] [p1] [j37] [c40] [c39] [c37] [c36] [c35] [e1] [j35] [j34] [j33] [j32] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [j30] [c19] [c18] [c17] [c16] [c15] [c14]
[j190] [j189] [j187] [j184] [j183] [j182] [c136] [i41] [j171] [j169] [j167] [j166] [j160] [j159] [j158] [j157] [j151] [j150] [j149] [j147] [c130] [c126] [c124] [c122] [j138] [j137] [j126] [j125] [c119] [c112] [c111] [j124] [j118] [j110] [j105] [j101] [j100] [j98] [j93] [c91] [j83] [j77] [c80] [c74] [j76] [j67]
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