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1st 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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