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[CVPR'22 & IJCV'24] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels & Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation
CVPR 2024: AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation
A simple consistency training framework for semi-supervised image semantic segmentation
[CVPR'22] Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation
This repository contains the official implementation of Semi-supervised Semantic Segmentation with Error Localization Network that has been accepted to 2022 IEEE/CVF Conference on Computer Vision a…
Efficient neural feature detector and descriptor
This is the code for the paper "Semi-supervised Infrared Meibomian Gland Segmentation with Intra-patient Registration and Feature Supervision"
Decoupled Consistency for Semi-supervised Medical Image Segmentation(MICCAI 2023)
A Foundational Keypoint Model for Robust and Flexible Brain MRI Registration
[MICCAI2023] NICE-Trans: Non-iterative Coarse-to-fine Transformer Networks for Joint Affine and Deformable Image Registration
This is the official Pytorch implementation of "Affine Medical Image Registration with Coarse-to-Fine Vision Transformer" (CVPR 2022), written by Tony C. W. Mok and Albert C. S. Chung.
A comprehensive list of papers on learning-based image registration, as well as python implementation of various loss functions and evaluation metrics for medical image registration
Recursive Deformable Pyramid Network for Unsupervised Medical Image Registration (TMI2024)
Official Code for our MedIA paper "Mutual Consistency Learning for Semi-supervised Medical Image Segmentation" (ESI Highly Cited Paper)
Exploring CNN and ViT for Semi-Supervised Medical Image Segmentation
A contrastive learning based semi-supervised segmentation network for medical image segmentation
official implementation of rectified contrastive pseudo supervision
[MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation
Trustworthy AI method based on Dempster-Shafer theory - application to fetal brain 3D T2w MRI segmentation
From Registration Uncertainty to Segmentation Uncertainty (PyTorch)
Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation