Unsupervised Learning for Image Registration

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

Semi-supervised Medical Image Segmentation through Dual-task Consistency

abdominal multi-organ segmentation using pytorch

Collection of utilities that are not polished implementations but can be useful to users

A PyTorch implementation of the ECCV 2018 publication "Memory Aware Synapses: Learning what (not) to forget"

This repo contains the implementation of the Wasserstein Barycenter Transport proposed in "Wasserstein Barycenter Transport for Acoustic Adaptation" at ICASSP21 and "Wasserstein Barycenter for Mult…

[ECCV2022] Dense Siamese Network for Dense Unsupervised Learning

official repository of paper "An End-to-end Deep Learning Approach for Landmark Detection and Matching in Medical Images"

Fast Topological Clustering with Wasserstein Distance (ICLR 2022)

Disparity calculation using Loopy Belief Propagation.