Predictive Intelligence in Medicine

Chapter 1 Federated Time-Dependent GNN Learning from Brain Connectivity Data with Missing Timepoints

Chapter 2 Bridging the Gap Between Deep Learning and Hypothesis-Driven Analysis via Permutation Testing

Chapter 3 Multi-tracer PET Imaging Using Deep Learning: Applications in Patients with High-Grade Gliomas

Chapter 4 Multiple Instance Neuroimage Transformer

Chapter 5 Intervertebral Disc Labeling with Learning Shape Information, a Look once Approach

Chapter 6 Mixup Augmentation Improves Age Prediction from T1-Weighted Brain MRI Scans

Chapter 7 Diagnosing Knee Injuries from MRI with Transformer Based Deep Learning

Chapter 8 MISS-Net: Multi-view Contrastive Transformer Network for MCI Stages Prediction Using Brain $${ }^{18}$$ 18 F-FDG PET Imaging

Chapter 9 TransDeepLab: Convolution-Free Transformer-Based DeepLab v3+ for Medical Image Segmentation

Chapter 10 Opportunistic hip fracture risk prediction in Men from X-ray: Findings from the Osteoporosis in Men (MrOS) Study

Chapter 11 Weakly-Supervised TILs Segmentation Based on Point Annotations Using Transfer Learning with Point Detector and Projected-Boundary Regressor

Chapter 12 Discriminative Deep Neural Network for Predicting Knee OsteoArthritis in Early Stage

Chapter 13 Long-Term Cognitive Outcome Prediction in Stroke Patients Using Multi-task Learning on Imaging and Tabular Data

Chapter 14 Quantifying the Predictive Uncertainty of Regression GNN Models Under Target Domain Shifts

Chapter 15 Investigating the Predictive Reproducibility of Federated Graph Neural Networks Using Medical Datasets

Chapter 17 A Triplet Contrast Learning of Global and Local Representations for Unannotated Medical Images

Chapter 18 Predicting Brain Multigraph Population from a Single Graph Template for Boosting One-Shot Classification

Chapter 19 Meta-RegGNN: Predicting Verbal and Full-Scale Intelligence Scores Using Graph Neural Networks and Meta-learning