ShishuaiHu / DoCR
Code for [MICCAI 2022] Domain Specific Convolution and High Frequency Reconstruction based Unsupervised Domain Adaptation for Medical Image Segmentation.
☆27Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for DoCR
- This repository contains code for the paper "Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Imag…☆28Updated 2 years ago
- ☆41Updated last year
- [AAAI 2023] Official PyTorch implementation of the paper "SLAug: Rethinking Data Augmentation for Single-source Domain Generalization in …☆68Updated last month
- ☆49Updated 2 years ago
- The official repo for [MIDL'23 Oral] "Inherent Consistent Learning for Accurate Semi-supervised Medical Image Segmentation"☆26Updated 4 months ago
- [MICCAI 2021] Official Implementation for "MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Lab…☆27Updated 2 years ago
- This is the official code of MICCAI23 paper "Source-Free Domain Adaptation for Medical Image Segmentation via Prototype-Anchored Feature …☆26Updated last year
- Code for [IEEE-TMI] Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image Segmentation.☆31Updated 2 years ago
- [MICCAI'21] Source-Free domain adaptive fundus image segmentation with denoised pseudo-labeling☆55Updated 2 years ago
- Python codes to implement Q-Net, a meta-learning method for few shot medical image segmentation☆43Updated 11 months ago
- MICCAI 2022: code for 'Shape-Aware Weakly/Semi-Supervised Optic Disc and Cup Segmentation with Regional/Marginal Consistency'☆17Updated 2 years ago
- Code for Pseudo label based contrastive learning joint training approach☆55Updated 2 years ago
- [MICCAI 2022] ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac Segmentation☆35Updated 2 years ago
- [MIA' 22] Source free domain adaptation for medical image segmentation with fourier style mining☆41Updated 8 months ago
- [ISBI 2024] Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive Learning☆22Updated 11 months ago
- code for our ODADA.☆19Updated 2 months ago
- ☆39Updated 2 years ago
- PA-Seg: Learning from Point Annotations for 3D Medical Image Segmentation using Contextual Regularization and Cross Knowledge Distillatio…☆17Updated last year
- ☆26Updated last year
- ☆24Updated last year
- Code for [MICCAI 2023 (Early Accept)] Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation.☆26Updated last year
- SMU-Net]{SMU-Net: Style matching U-Net for brain tumor segmentation with missing modalities☆32Updated 2 years ago
- Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels for neurips 2021☆26Updated 2 years ago
- MICCAI 2021 : Self-Supervised Correction Learning for Semi-Supervised Biomedical Image Segmentation (Pytorch implementation).☆24Updated last year
- Code for [MICCAI 2023] Treasure in Distribution: A Domain Randomization based Multi-Source Domain Generalization for 2D Medical Image Seg…☆28Updated 4 months ago
- ☆32Updated 3 years ago
- code for TMI DoFE: Domain-oriented Feature Embeddingfor Generalizable Fundus Image Segmentationon Unseen Datasets☆49Updated 2 years ago
- ISBI 2022: Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image Segmentation.☆45Updated 2 years ago
- [MICCAI2021] This is an official PyTorch implementation for "Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image Segment…☆47Updated 3 years ago
- ☆19Updated 2 years ago