Federated Time-dependent GNN Learning from Brain Connectivity Data with Missing Timepoints
Bridging the Gap between Deep Learning and Hypothesis-Driven Analysis via Permutation Testing
Multi-Tracer PET Imaging Using Deep Learning: Applications in Patients with High-Grade Gliomas
Multiple Instance Neuroimage Transformer
Intervertebral Disc Labeling With Learning Shape Information, A Look Once Approach
Mixup augmentation improves age prediction from T1-weighted brain MRI scans
Diagnosing Knee Injuries from MRI with Transformer Based Deep Learning
MISS-Net: Multi-view contrastive transformer network for MCI stages prediction using brain 18F-FDG PET imaging
TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical Image Segmentation
Opportunistic hip fracture risk prediction in Men from X-ray: Findings from the Osteoporosis in Men (MrOS) Study
Weakly-Supervised TILs Segmentation based on Point Annotations using Transfer Learning with Point Detector and Projected-Boundary Regressor
Discriminative Deep Neural Network for Predicting Knee OsteoArthritis in Early Stage
Long-Term Cognitive Outcome Prediction in Stroke Patients Using Multi-Task Learning on Imaging and Tabular Data
Quantifying the Predictive Uncertainty of Regression GNN Models Under Target Domain Shifts
Investigating the Predictive Reproducibility of Federated Graph Neural Networks using Medical Datasets
Learning subject-specific functional parcellations from cortical surface measures
A Triplet Contrast Learning of Global and Local Representations for Unannotated Medical Images
Predicting Brain Multigraph Population From a Single Graph Template for Boosting One-Shot Classification
Meta-RegGNN: Predicting Verbal and Full-Scale Intelligence Scores using Graph Neural Networks and Meta-Learning.