Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

Official Code for our MedIA paper "Mutual Consistency Learning for Semi-supervised Medical Image Segmentation" (ESI Highly Cited Paper)

Naive implementation of SENet in Keras

Official Code for our MICCAI 2022 paper "Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation"

Official Code for our CVPR 2024 Paper "Diversified and Personalized Multi-rater Medical Image Segmentation" (Highlight)

Robust 3D Neuron Tracing / General 3D tree structure extraction in Python for 3D images powered by the Rivulet2 algorithm. Pain-free Install & use in 5 mins.

Official Code for our MICCAI 2023 paper "CoactSeg: Learning from Heterogeneous Data for New Multiple Sclerosis Lesion Segmentation"

Retina blood vessel segmentation with a convolutional neural network