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ORCID1st GLMI@MICCAI 2019: Shenzhen, China
- 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 - Weida Li, Fang Chen, Daoqiang Zhang:
Graph Hyperalignment for Multi-subject fMRI Functional Alignment. 1-8 - Xiaosong Wang
, Ling Zhang, Holger Roth, Daguang Xu, Ziyue Xu:
Interactive 3D Segmentation Editing and Refinement via Gated Graph Neural Networks. 9-17 - Zhengdong Wang, Biao Jie, Weixin Bian, Daoqiang Zhang, Dinggang Shen, Mingxia Liu:
Adaptive Thresholding of Functional Connectivity Networks for fMRI-Based Brain Disease Analysis. 18-26 - 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. 27-35 - Zhiwei Zhai, Marius Staring, Xuhui Zhou, Qiuxia Xie, Xiaojuan Xiao, M. Els Bakker, Lucia J. M. Kroft, Boudewijn P. F. Lelieveldt, Gudula J. A. M. Boon, Frederikus A. Klok, Berend C. Stoel:
Linking Convolutional Neural Networks with Graph Convolutional Networks: Application in Pulmonary Artery-Vein Separation. 36-43 - Oleh Dzyubachyk, Kirsten Koolstra, Nicola Pezzotti, Boudewijn P. F. Lelieveldt, Andrew G. Webb, Peter Börnert:
Comparative Analysis of Magnetic Resonance Fingerprinting Dictionaries via Dimensionality Reduction. 44-52 - Lasse Hansen, Doris Dittmer, Mattias P. Heinrich:
Learning Deformable Point Set Registration with Regularized Dynamic Graph CNNs for Large Lung Motion in COPD Patients. 53-61 - Jelmer M. Wolterink, Tim Leiner, Ivana Isgum:
Graph Convolutional Networks for Coronary Artery Segmentation in Cardiac CT Angiography. 62-69 - 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. 70-78 - Shuangzhi Yu, Guanghui Yue, Ahmed Elazab, Xuegang Song, Tianfu Wang, Baiying Lei:
Multi-scale Graph Convolutional Network for Mild Cognitive Impairment Detection. 79-87 - Feihong Liu, Jun Feng, Geng Chen, Ye Wu, Yoonmi Hong, Pew-Thian Yap, Dinggang Shen:
DeepBundle: Fiber Bundle Parcellation with Graph Convolution Neural Networks. 88-95 - Xingjuan Li, Samantha Burnham, Jurgen Fripp, Yu Li, Xue Li, Amir Fazlollahi, Pierrick Bourgeat:
Identification of Functional Connectivity Features in Depression Subtypes Using a Data-Driven Approach. 96-103 - Chao Tang, Ziyi Huang, Senyu Zhou, Qi Wang, Fa Yi, Jingxin Nie:
Movie-Watching fMRI Reveals Inter-subject Synchrony Alteration in Functional Brain Activity in ADHD. 104-111 - Junyan Wu, Jia-Xing Zhong, Eric Z. Chen, Jingwei Zhang, Jay J. Ye, Limin Yu:
Weakly- and Semi-supervised Graph CNN for Identifying Basal Cell Carcinoma on Pathological Images. 112-119 - Wen Zhang, Yalin Wang:
Geometric Brain Surface Network for Brain Cortical Parcellation. 120-129 - 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. 130-137 - Yongsheng Pan, Mingxia Liu, Li Wang, Yong Xia, Dinggang Shen:
Discriminative-Region-Aware Residual Network for Adolescent Brain Structure and Cognitive Development Analysis. 138-146 - Shelda Sajeev, Mariusz Bajger, Gobert N. Lee:
Graph Modeling for Identifying Breast Tumor Located in Dense Background of a Mammogram. 147-154 - Peng Yang, Lili Jin, Chuangyong Xu, Tianfu Wang, Baiying Lei, Ziwen Peng:
OCD Diagnosis via Smoothing Sparse Network and Stacked Sparse Auto-Encoder Learning. 155-163 - 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. 164-171 - 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. 172-179
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