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Graph Learning in Medical Imaging: First International Workshop, GLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings

✍ Scribed by Daoqiang Zhang, Luping Zhou, Biao Jie, Mingxia Liu


Publisher
Springer International Publishing
Year
2019
Tongue
English
Leaves
191
Series
Lecture Notes in Computer Science 11849
Edition
1st ed. 2019
Category
Library

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✦ Synopsis


This book constitutes the refereed proceedings of the First International Workshop on Graph Learning in Medical Imaging, GLMI 2019, held in conjunction with MICCAI 2019 in Shenzhen, China, in October 2019.

The 21 full papers presented were carefully reviewed and selected from 42 submissions. The papers focus on major trends and challenges of graph learning in medical imaging and present original work aimed to identify new cutting-edge techniques and their applications in medical imaging.

✦ Table of Contents


Front Matter ....Pages i-ix
Graph Hyperalignment for Multi-subject fMRI Functional Alignment (Weida Li, Fang Chen, Daoqiang Zhang)....Pages 1-8
Interactive 3D Segmentation Editing and Refinement via Gated Graph Neural Networks (Xiaosong Wang, Ling Zhang, Holger Roth, Daguang Xu, Ziyue Xu)....Pages 9-17
Adaptive Thresholding of Functional Connectivity Networks for fMRI-Based Brain Disease Analysis (Zhengdong Wang, Biao Jie, Weixin Bian, Daoqiang Zhang, Dinggang Shen, Mingxia Liu)....Pages 18-26
Graph-Kernel-Based Multi-task Structured Feature Selection on Multi-level Functional Connectivity Networks for Brain Disease Classification (Zhengdong Wang, Biao Jie, Mi Wang, Chunxiang Feng, Wen Zhou, Dinggang Shen et al.)....Pages 27-35
Linking Convolutional Neural Networks with Graph Convolutional Networks: Application in Pulmonary Artery-Vein Separation (Zhiwei Zhai, Marius Staring, Xuhui Zhou, Qiuxia Xie, Xiaojuan Xiao, M. Els Bakker et al.)....Pages 36-43
Comparative Analysis of Magnetic Resonance Fingerprinting Dictionaries via Dimensionality Reduction (Oleh Dzyubachyk, Kirsten Koolstra, Nicola Pezzotti, Boudewijn P. F. Lelieveldt, Andrew Webb, Peter BΓΆrnert)....Pages 44-52
Learning Deformable Point Set Registration with Regularized Dynamic Graph CNNs for Large Lung Motion in COPD Patients (Lasse Hansen, Doris Dittmer, Mattias P. Heinrich)....Pages 53-61
Graph Convolutional Networks for Coronary Artery Segmentation in Cardiac CT Angiography (Jelmer M. Wolterink, Tim Leiner, Ivana IΕ‘gum)....Pages 62-69
Triplet Graph Convolutional Network for Multi-scale Analysis of Functional Connectivity Using Functional MRI (Dongren Yao, Mingxia Liu, Mingliang Wang, Chunfeng Lian, Jie Wei, Li Sun et al.)....Pages 70-78
Multi-scale Graph Convolutional Network for Mild Cognitive Impairment Detection (Shuangzhi Yu, Guanghui Yue, Ahmed Elazab, Xuegang Song, Tianfu Wang, Baiying Lei)....Pages 79-87
DeepBundle: Fiber Bundle Parcellation with Graph Convolution Neural Networks (Feihong Liu, Jun Feng, Geng Chen, Ye Wu, Yoonmi Hong, Pew-Thian Yap et al.)....Pages 88-95
Identification of Functional Connectivity Features in Depression Subtypes Using a Data-Driven Approach (Xingjuan Li, Samantha Burnham, Jurgen Fripp, Yu Li, Xue Li, Amir Fazlollahi et al.)....Pages 96-103
Movie-Watching fMRI Reveals Inter-subject Synchrony Alteration in Functional Brain Activity in ADHD (Chao Tang, Ziyi Huang, Senyu Zhou, Qi Wang, Fa Yi, Jingxin Nie)....Pages 104-111
Weakly- and Semi-supervised Graph CNN for Identifying Basal Cell Carcinoma on Pathological Images (Junyan Wu, Jia-Xing Zhong, Eric Z. Chen, Jingwei Zhang, Jay J. Ye, Limin Yu)....Pages 112-119
Geometric Brain Surface Network for Brain Cortical Parcellation (Wen Zhang, Yalin Wang)....Pages 120-129
Automatic Detection of Craniomaxillofacial Anatomical Landmarks on CBCT Images Using 3D Mask R-CNN (Yankun Lang, Li Wang, Pew-Thian Yap, Chunfeng Lian, Hannah Deng, Kim-Han Thung et al.)....Pages 130-137
Discriminative-Region-Aware Residual Network for Adolescent Brain Structure and Cognitive Development Analysis (Yongsheng Pan, Mingxia Liu, Li Wang, Yong Xia, Dinggang Shen)....Pages 138-146
Graph Modeling for Identifying Breast Tumor Located in Dense Background of a Mammogram (Shelda Sajeev, Mariusz Bajger, Gobert Lee)....Pages 147-154
OCD Diagnosis via Smoothing Sparse Network and Stacked Sparse Auto-Encoder Learning (Peng Yang, Lili Jin, Chuangyong Xu, Tianfu Wang, Baiying Lei, Ziwen Peng)....Pages 155-163
A Longitudinal MRI Study of Amygdala and Hippocampal Subfields for Infants with Risk of Autism (Guannan Li, Meng-Hsiang Chen, Gang Li, Di Wu, Chunfeng Lian, Quansen Sun et al.)....Pages 164-171
CNS: CycleGAN-Assisted Neonatal Segmentation Model for Cross-Datasets (Jian Chen, Zhenghan Fang, Deqiang Xiao, Duc Toan Bui, Kim-Han Thung, Xianjun Li et al.)....Pages 172-179
Back Matter ....Pages 181-182

✦ Subjects


Computer Science; Image Processing and Computer Vision; Pattern Recognition; Computer Appl. in Social and Behavioral Sciences


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