Graph Learning in Medical Imaging

Chapter 1 Graph Hyperalignment for Multi-subject fMRI Functional Alignment

Chapter 2 Interactive 3D Segmentation Editing and Refinement via Gated Graph Neural Networks

Chapter 3 Adaptive Thresholding of Functional Connectivity Networks for fMRI-Based Brain Disease Analysis

Chapter 4 Graph-Kernel-Based Multi-task Structured Feature Selection on Multi-level Functional Connectivity Networks for Brain Disease Classification

Chapter 5 Linking Convolutional Neural Networks with Graph Convolutional Networks: Application in Pulmonary Artery-Vein Separation

Chapter 6 Comparative Analysis of Magnetic Resonance Fingerprinting Dictionaries via Dimensionality Reduction

Chapter 7 Learning Deformable Point Set Registration with Regularized Dynamic Graph CNNs for Large Lung Motion in COPD Patients

Chapter 8 Graph Convolutional Networks for Coronary Artery Segmentation in Cardiac CT Angiography

Chapter 9 Triplet Graph Convolutional Network for Multi-scale Analysis of Functional Connectivity Using Functional MRI

Chapter 10 Multi-scale Graph Convolutional Network for Mild Cognitive Impairment Detection

Chapter 11 DeepBundle: Fiber Bundle Parcellation with Graph Convolution Neural Networks

Chapter 12 Identification of Functional Connectivity Features in Depression Subtypes Using a Data-Driven Approach

Chapter 13 Movie-Watching fMRI Reveals Inter-subject Synchrony Alteration in Functional Brain Activity in ADHD

Chapter 14 Weakly- and Semi-supervised Graph CNN for Identifying Basal Cell Carcinoma on Pathological Images

Chapter 15 Geometric Brain Surface Network for Brain Cortical Parcellation

Chapter 16 Automatic Detection of Craniomaxillofacial Anatomical Landmarks on CBCT Images Using 3D Mask R-CNN

Chapter 17 Discriminative-Region-Aware Residual Network for Adolescent Brain Structure and Cognitive Development Analysis

Chapter 18 Graph Modeling for Identifying Breast Tumor Located in Dense Background of a Mammogram

Chapter 19 OCD Diagnosis via Smoothing Sparse Network and Stacked Sparse Auto-Encoder Learning

Chapter 20 A Longitudinal MRI Study of Amygdala and Hippocampal Subfields for Infants with Risk of Autism

Chapter 21 CNS: CycleGAN-Assisted Neonatal Segmentation Model for Cross-Datasets