jacobzhaoziyuan / MT-UDALinks
[MICCAI 2021] Official Implementation for "MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels"
☆32Updated 3 years ago
Alternatives and similar repositories for MT-UDA
Users that are interested in MT-UDA are comparing it to the libraries listed below
Sorting:
- Code for [MICCAI 2022] Domain Specific Convolution and High Frequency Reconstruction based Unsupervised Domain Adaptation for Medical Ima…☆29Updated 3 years ago
- ☆46Updated 3 years ago
- [IEEE-TMI'22] Causality-inspired Single-source Domain Generalization for Medical Image Segmentation (code&data-processing pipeline)☆105Updated 2 years ago
- [AAAI 2023] Official PyTorch implementation of the paper "SLAug: Rethinking Data Augmentation for Single-source Domain Generalization in …☆74Updated 10 months ago
- This repository contains code for the paper "Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Imag…☆32Updated 3 years ago
- [MICCAI 2022] ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac Segmentation☆37Updated 3 years ago
- ☆45Updated last year
- [JBHI2022] A novel 3D unsupervised domain adaptation framework for cross-modality medical image segmentation☆49Updated last year
- domain adaptation with CF distance for medical image segmentation☆27Updated 3 years ago
- Code for Pseudo label based contrastive learning joint training approach☆58Updated 3 years ago
- ☆34Updated 4 years ago
- This is the official code of MICCAI23 paper "Source-Free Domain Adaptation for Medical Image Segmentation via Prototype-Anchored Feature …☆34Updated last year
- Code for paper "Evidence fusion with contextual discounting for multi-modality medical image segmentation"☆17Updated 2 years ago
- Code for S-cuda: Self-Cleansing Unsupervised Domain Adaptation for Medical Image Segmentation☆28Updated 4 years ago
- Code for [IEEE-TMI] Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image Segmentation.☆38Updated 2 years ago
- ☆55Updated 3 years ago
- [ICASSP 2023] Prototype Knowledge Distillation for Medical Segmentation with Missing Modality☆54Updated 7 months ago
- code for paper Positional Contrastive Learning for Volumetric Medical Image Segmentation☆59Updated last year
- [MICCAI'21] Source-Free domain adaptive fundus image segmentation with denoised pseudo-labeling☆59Updated 3 years ago
- [MICCAI2021] This is an official PyTorch implementation for "Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image Segment…☆51Updated 3 years ago
- SMU-Net]{SMU-Net: Style matching U-Net for brain tumor segmentation with missing modalities☆34Updated 3 years ago
- [MIA' 22] Source free domain adaptation for medical image segmentation with fourier style mining☆48Updated last year
- Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels for neurips 2021☆28Updated 2 years ago
- The official implementation of "Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmen…☆40Updated 2 years ago
- code for TMI DoFE: Domain-oriented Feature Embeddingfor Generalizable Fundus Image Segmentationon Unseen Datasets☆61Updated 3 years ago
- ☆18Updated 3 years ago
- MICCAI 2023: DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image Segmentation☆63Updated last year
- Project page of the paper 'Self-Supervised Vessel Segmentation via Adversarial Learning'☆41Updated 3 years ago
- [MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation☆41Updated 4 months ago
- This repository is an unoffical PyTorch implementation of Semi-Supervised Learning on Medical Segmentation in 2D and 3D.☆46Updated 3 years ago