08:20 — 08:30 Open Remarks
08:30 — 09:30 Plenary Talk
09:30 — 09:40 Coffee Break
09:40 — 10:40 Oral Session 1 (Session Chair: Mingxia Liu, Wei Shao)
[GLMI-O-1] 09:40 – 10:00 Graph Hyperalignment for Multi-Subject fMRI Functional Alignment
[GLMI-O-2] 10:00 – 10:20 Interactive 3D Segmentation Editing and Refinement via Gated Graph Neural Networks
[GLMI-O-3] 10:20 – 10:40 Linking convolutional neural networks with graph convolutional networks: application in pulmonary artery-vein separation
10:40 — 11:40 Oral Session 2 (Session Chair: Fang Chen, Lichi Zhang)
[GLMI-O-4] 10:40 – 11:00 Triplet Graph Convolutional Network for Multi-scale Analysis of Functional Connectivityusing Functional MRI
[GLMI-O-5] 11:00 – 11:20 Weakly- and Semi-Supervised Graph CNN for identifying Basal Cell Carcinoma on Pathological images
[GLMI-O-6] 11:20 – 11:40 Geometric Brain Surface Network For Brain Cortical Parcellation
09:30 — 12:00 Poster Session
[GLMI-P-1] Adaptive Thresholding of Functional Connectivity Networks for fMRI-based Brain Disease Analysis
[GLMI-P-2] Graph-kernel-based Multi-task Structured Feature Selection on Multi-level Functional Connectivity Networks for Brain Disease Classification
[GLMI-P-3] Comparative Analysis of Magnetic Resonance Fingerprinting Dictionaries via Dimensionality Reduction
[GLMI-P-4] Learning Deformable Point Set Registration with Regularized Dynamic Graph CNNs for Large Lung Motion in COPD Patients
[GLMI-P-5] Graph Convolutional Networks for Coronary Artery Segmentation in Cardiac CT Angiography
[GLMI-P-6] Multi-Scale Graph Convolutional Network for Mild Cognitive Impairment Detection
[GLMI-P-7] DeepBundle: Fiber Bundle Parcellation With Graph CNNs
[GLMI-P-8] Identification of Functional Connectivity Features in Depression Subtypes Using a Data-Driven Approach
[GLMI-P-9] Movie-watching fMRI Reveals Inter-subject Synchrony Alteration in Functional Brain Activity in ADHD
[GLMI-P-10] Automatic Detection of Craniomaxillofacial Anatomical Landmarks on CBCT Images using 3D Mask R-CNN
[GLMI-P-11] Discriminative-Region-Aware Residual Network for Adolescent Brain Structure and Cognitive Development Analysis
[GLMI-P-12] Graph Modeling for Identifying Breast Tumor Located in Dense Background of a Mammogram
[GLMI-P-13] OCD Diagnosis via Smoothing Sparse Network and Stacked Sparse Auto-Encoder Learning
[GLMI-P-14] A Longitudinal MRI Study of Amygdala and Hippocampal Subfields for Infants with Risk of Autism
[GLMI-P-15] CNS: CycleGAN-assisted Neonatal Segmentation Model for Cross-Datasets
11:40 — 11:50 Closing Remarks (Best paper(s) will be announced)