Predictive Intelligence in Medicine

Chapter 1 Longitudinal Self-supervised Learning Using Neural Ordinary Differential Equation

Chapter 2 Template-Based Federated Multiview Domain Alignment for Predicting Heterogeneous Brain Graph Evolution Trajectories from Baseline

Chapter 3 Feature-Based Transformer with Incomplete Multimodal Brain Images for Diagnosis of Neurodegenerative Diseases

Chapter 4 RepNet for Quantifying the Reproducibility of Graph Neural Networks in Multiview Brain Connectivity Biomarker Discovery

Chapter 5 SynthA1c: Towards Clinically Interpretable Patient Representations for Diabetes Risk Stratification

Chapter 6 Confounding Factors Mitigation in Brain Age Prediction Using MRI with Deformation Fields

Chapter 7 Self-supervised Landmark Learning with Deformation Reconstruction and Cross-Subject Consistency Objectives

Chapter 8 DAE-Former: Dual Attention-Guided Efficient Transformer for Medical Image Segmentation

Chapter 9 Diffusion-Based Graph Super-Resolution with Application to Connectomics

Chapter 10 Deep Survival Analysis in Multiple Sclerosis

Chapter 11 Federated Multi-trajectory GNNs Under Data Limitations for Baby Brain Connectivity Forecasting

Chapter 12 Learning Task-Specific Morphological Representation for Pyramidal Cells via Mutual Information Minimization

Chapter 13 DermoSegDiff: A Boundary-Aware Segmentation Diffusion Model for Skin Lesion Delineation

Chapter 14 Self-supervised Few-Shot Learning for Semantic Segmentation: An Annotation-Free Approach

Chapter 15 Imputing Brain Measurements Across Data Sets via Graph Neural Networks

Chapter 16 Multi-input Vision Transformer with Similarity Matching

Chapter 17 Federated Multi-domain GNN Network for Brain Multigraph Generation

Chapter 18 An Ambient Intelligence-Based Approach for Longitudinal Monitoring of Verbal and Vocal Depression Symptoms

Chapter 19 Dynamic Depth-Supervised NeRF for Multi-view RGB-D Operating Room Videos

Chapter 20 Revisiting N-CNN for Clinical Practice

Chapter 21 Video-Based Hand Pose Estimation for Remote Assessment of Bradykinesia in Parkinson’s Disease

Chapter 22 More Than Meets the Eye: Analyzing Anesthesiologists’ Visual Attention in the Operating Room Using Deep Learning Models

Chapter 23 Pose2Gait: Extracting Gait Features from Monocular Video of Individuals with Dementia

Chapter 24 Self-Supervised Learning of Gait-Based Biomarkers