xGW-GAT

Workflows and interfaces for neuroimaging packages

Officially Accepted to IEEE Transactions on Medical Imaging (TMI, IF: 11.037) - Special Issue on Geometric Deep Learning in Medical Imaging.

BIDScoin converts your source-level neuroimaging data to BIDS

RETFound - A foundation model for retinal image

Python Machine Learning Toolbox for Brain Network Classification. Source codes are included of the top 20 teams in the Kaggle competition.

Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models

Implementations for CHIL 2023 paper ''PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis'' and KDD 2022 paper ''Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning''

[WACV25 Oral] Official implementation of the paper: "Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities"

Code for implementing the Aggregation-Network diffusion model (AND), as described in the paper: "Combined Model of Aggregation And Network Diffusion Recapitulates Alzheimer’s Regional Tau-PET " by Ashish Raj*, Veronica Tora, Xiao Gao, Hanna Cho, Jae Yong Choi, Young Hoon Ryu, Chul Hyoung Lyoo, Bruno Franchi. *Department of Radiology and Biomedical Imaging, University of California at San Francisco

Federating temporally-varying graph timeseries