Computational Anatomy
Unfolding the medial temporal lobe cortex to characterize neurodegeneration due to Alzheimer's disease pathology using ex vivo imaging
Distinguishing Healthy Ageing from Dementia: a Biomechanical Simulation of Brain Atrophy using Deep Networks
Towards Self-Explainable Classifiers and Regressors in Neuroimaging with Normalizing Flows
Patch vs. global image-based unsupervised anomaly detection in MR brain scans of early Parkinsonian patients
MRI image registration considerably improves CNN-based disease classification
Dynamic Sub-graph Learning for Patch-based Cortical Folding Classification
Detection of abnormal folding patterns with unsupervised deep generative models
PialNN: A Fast Deep Learning Framework for Cortical Pial Surface Reconstruction
Multi-Modal Brain Segmentation Using Hyper-Fused Convolutional Neural Network
Robust Hydrocephalus Brain Segmentation via Globally and Locally Spatial Guidance
Brain Networks and Time Series
Geometric Deep Learning of the Human Connectome Project Multimodal Cortical Parcellation
Deep Stacking Networks for Conditional Nonlinear Granger Causal Modeling of fMRI Data
Dynamic Adaptive Spatio-temporal Graph Convolution for fMRI Modelling
Structure-Function Mapping via Graph Neural Networks
Improving Phenotype Prediction using Long-Range Spatio-Temporal Dynamics of Functional Connectivity
H3K27M Mutations Prediction for Brainstem Gliomas Based on Diffusion Radiomics Learning
Constrained Learning of Task-related and Spatially-Coherent Dictionaries from Task fMRI Data.