CRazorback / AADGLinks
[TMI'22] "AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation".
☆71Updated last year
Alternatives and similar repositories for AADG
Users that are interested in AADG are comparing it to the libraries listed below
Sorting:
- [IEEE-TMI'22] Causality-inspired Single-source Domain Generalization for Medical Image Segmentation (code&data-processing pipeline)☆104Updated 2 years ago
- ☆55Updated 3 years ago
- [CVPR‘22] Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalization☆107Updated last year
- Domain Adaptation and Generalization for Medical Image Analysis☆141Updated last year
- [MIA' 22] Source free domain adaptation for medical image segmentation with fourier style mining☆48Updated last year
- [CVPR2024] MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding an…☆54Updated 7 months ago
- Code for [IEEE-TMI] Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image Segmentation.☆38Updated 2 years ago
- MICCAI 2022 Paper with Code☆95Updated 2 years ago
- [CVPR 2024] Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation☆49Updated 4 months ago
- code for paper Positional Contrastive Learning for Volumetric Medical Image Segmentation☆59Updated 11 months ago
- [ICASSP 2023] Prototype Knowledge Distillation for Medical Segmentation with Missing Modality☆53Updated 7 months ago
- [TMI'24] Translation Consistent Semi-supervised Segmentation for 3D Medical Images☆57Updated 9 months ago
- VFT is a domain generalization model for retinal vessel segmentation that trained on fundus image and test on OCT-A☆19Updated 2 years ago
- 【MICCAI 2022】"TBraTS: Trusted Brain Tumor Segmentation"☆54Updated last year
- Code for Pseudo label based contrastive learning joint training approach☆58Updated 3 years ago
- [JBHI2022] A novel 3D unsupervised domain adaptation framework for cross-modality medical image segmentation☆48Updated last year
- ☆45Updated last year
- MICCAI 2023: DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image Segmentation☆63Updated last year
- ☆21Updated 6 months ago
- ☆73Updated last year
- ☆59Updated last year
- NeurIPS 2023: Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation☆103Updated last year
- ☆28Updated 9 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
- [MICCAI21, TMI22] Mean-Teacher-Assisted Confident Learning☆77Updated last year
- ☆50Updated 2 years ago
- [MICCAI 2022] The official code for "mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentat…☆127Updated last year
- FPL+: Filtered Pseudo Label-based Unsupervised Cross-Modality Adaptation for 3D Medical Image Segmentation☆30Updated last year
- [MICCAI'21] Source-Free domain adaptive fundus image segmentation with denoised pseudo-labeling☆59Updated 3 years ago
- code for our work: RFNet for Incomplete Multi-modal Brain Tumor Segmentation☆55Updated 3 years ago