Machine Learning
Image-to-Image Translation between Tau Pathology and Neuronal Metabolism PET in Alzheimer Disease with Multi-Domain Contrastive Learning
Multi-Shell dMRI Estimation from Single-Shell Data via Deep Learning
A Three-Player GAN for Super-Resolution in Magnetic Resonance Imaging
Cross-Attention for Improved Motion Correction in Brain PET
VesselShot: Few-shot learning for cerebral blood vessel segmentation
WaveSep: A Flexible Wavelet-based Approach for Source Separation in Susceptibility Imaging
Joint Estimation of Neural Events and Hemodynamic Response Functions from Task fMRI via Convolutional Neural Networks
Learning Sequential Information in Task-based fMRI for Synthetic Data Augmentation
Clinical Applications
Causal Sensitivity Analysis for Hidden Confounding: Modeling the Sex-Specific Role of Diet on the Aging Brain
MixUp brain-cortical augmentations in self-supervised learning
Brain age prediction based on head computed tomography segmentation
Pretraining is All You Need: A Multi-Atlas Enhanced Transformer Framework for Autism Spectrum Disorder Classification
Copy Number Variation Informs fMRI-based Prediction of Autism Spectrum Disorder
Deep attention assisted multi-resolution networks for the segmentation of white matter hyperintensities in postmortem MRI scans
Stroke outcome and evolution prediction from CT brain using a spatiotemporal diffusion autoencoder
Morphological versus Functional Network Organization: A Comparison Between Structural Covariance Networks and Probabilistic Functional Modes.