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

Example download scripts for the OASIS3 project

Semi-Supervised Learning for Deep Causal Generative Models

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

3D U-Net model for volumetric semantic segmentation written in pytorch

A framework for studying the best practises for Mahalanobis distance for OOD detection

Framework to run the Federated Test-Time-Adaptation method StarAlign

Affinity Feature Strengthening for Accurate, Complete and Robust Vessel Segmentation(JBHI)

A novel local intensity order transformation for robust curvilinear object segmentation(TIP)