slliuEric / FSUDALinks
AAAI2023 Reducing Domain Gap in Frequency and Spatial domain for Cross-modality Domain Adaptation on Medical Image Segmentation
☆28Updated 2 years ago
Alternatives and similar repositories for FSUDA
Users that are interested in FSUDA are comparing it to the libraries listed below
Sorting:
- [MIA' 22] Source free domain adaptation for medical image segmentation with fourier style mining☆49Updated last year
- [MICCAI'21] Source-Free domain adaptive fundus image segmentation with denoised pseudo-labeling☆60Updated 3 years ago
- [AAAI 2023] Official PyTorch implementation of the paper "SLAug: Rethinking Data Augmentation for Single-source Domain Generalization in …☆75Updated last year
- Code base for "On-the-Fly Test-time Adaptation for Medical Image Segmentation"☆28Updated 3 years ago
- [ICASSP 2023] Prototype Knowledge Distillation for Medical Segmentation with Missing Modality☆56Updated 9 months ago
- Source-Free Domain Adaptation☆45Updated 2 years ago
- [ECCV'22] Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration☆44Updated last year
- Code for [Pattern Recognition] Prompt Learning based Source-free Domain Adaptation for Medical Image Segmentation.☆28Updated 6 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
- ☆29Updated 2 years ago
- This is the official code of MICCAI23 paper "Source-Free Domain Adaptation for Medical Image Segmentation via Prototype-Anchored Feature …☆35Updated 2 years ago
- Code for [IEEE-TMI] Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image Segmentation.☆40Updated 3 years ago
- [CVPR2024] MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding an…☆58Updated 9 months ago
- MICCAI 2023: Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image Segmentation☆14Updated last year
- ☆46Updated 3 years ago
- [MICCAI 2022] ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac Segmentation☆37Updated 3 years ago
- Code for [MICCAI 2023 (Early Accept)] Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation.☆34Updated 2 years ago
- Dual Contrastive Learning for Few-shot Medical Image Segmentation☆27Updated 2 years ago
- code for our ODADA.☆20Updated last year
- Code for the paper "Test-time adaptable neural networks for robust medical image segmentation"☆47Updated 5 years ago
- [CVPR‘22] Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalization☆107Updated last year
- [IEEE-TMI'22] Causality-inspired Single-source Domain Generalization for Medical Image Segmentation (code&data-processing pipeline)☆109Updated 2 years ago
- ☆29Updated 2 years ago
- ☆29Updated 2 years ago
- [MICCAI 2023] Continual Learning for Abdominal Multi-Organ and Tumor Segmentation☆71Updated last year
- AAAI 2022: Enhancing Pseudo Label Quality for Semi-Supervised Domain-Generalized Medical Image Segmentation☆42Updated 2 years ago
- ☆46Updated 2 years ago
- 🏆1st place in the MICCAI challenge CrossMoDA 2023☆19Updated last month
- Code for [MICCAI 2023] Treasure in Distribution: A Domain Randomization based Multi-Source Domain Generalization for 2D Medical Image Seg…☆39Updated 8 months ago
- ☆25Updated 7 months ago