Chen-Ziyang / TriDLinks
Code for [MICCAI 2023] Treasure in Distribution: A Domain Randomization based Multi-Source Domain Generalization for 2D Medical Image Segmentation.
☆42Updated 10 months ago
Alternatives and similar repositories for TriD
Users that are interested in TriD are comparing it to the libraries listed below
Sorting:
- [AAAI 2023] Official PyTorch implementation of the paper "SLAug: Rethinking Data Augmentation for Single-source Domain Generalization in …☆77Updated last year
- Code for [IEEE-TMI] Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image Segmentation.☆40Updated 3 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
- [IEEE-TMI'22] Causality-inspired Single-source Domain Generalization for Medical Image Segmentation (code&data-processing pipeline)☆109Updated 3 years ago
- code for TMI DoFE: Domain-oriented Feature Embeddingfor Generalizable Fundus Image Segmentationon Unseen Datasets☆65Updated 3 years ago
- [ICASSP 2023] Prototype Knowledge Distillation for Medical Segmentation with Missing Modality☆56Updated 10 months ago
- Single-image test-time domain adaptation for segmentation models.☆25Updated last year
- The code of Modality-adaptive Feature Interaction for Brain Tumor Segmentation with Missing Modalities☆23Updated 3 years ago
- Code for [MICCAI 2023 (Early Accept)] Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation.☆35Updated 2 years ago
- AAAI2023 Reducing Domain Gap in Frequency and Spatial domain for Cross-modality Domain Adaptation on Medical Image Segmentation☆28Updated 2 years ago
- [MICCAI 2021] Official Implementation for "MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Lab…☆32Updated 3 years ago
- ☆20Updated last year
- This repository contains code for the paper "Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Imag…☆32Updated 3 years ago
- Code for [MICCAI 2022] Domain Specific Convolution and High Frequency Reconstruction based Unsupervised Domain Adaptation for Medical Ima…☆29Updated 3 years ago
- [MICCAI 2023] MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets (an official implementation)☆42Updated last year
- [CVPR2024] MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding an…☆59Updated 10 months ago
- FPL+: Filtered Pseudo Label-based Unsupervised Cross-Modality Adaptation for 3D Medical Image Segmentation☆33Updated last year
- [MIA' 22] Source free domain adaptation for medical image segmentation with fourier style mining☆49Updated last year
- Code for paper "Evidence fusion with contextual discounting for multi-modality medical image segmentation"☆18Updated 3 years ago
- ☆14Updated 3 years ago
- [ECCV 2022] Personalizing Federated Medical Image Segmentation☆49Updated 2 years ago
- [MICCAI 2023] Few-Shot Medical Image Segmentation via a Region-enhanced Prototypical Transformer☆62Updated 9 months ago
- 【IEEE TCYB 2025】Towards Reliable Medical Image Segmentation by Modelling Evidential Calibrated Uncertainty☆33Updated last year
- [MICCAI'21] Source-Free domain adaptive fundus image segmentation with denoised pseudo-labeling☆61Updated 3 years ago
- Domain generalization benchmark for skin lesion recognition, MICCAI 2023☆20Updated last year
- [Nature Machine Intelligence Journal] Official pytorch implementation for Uncertainty-Guided Dual-Views for Semi-Supervised Volumetric M…☆75Updated 2 years ago
- ☆18Updated 3 years ago
- Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels for neurips 2021☆27Updated 3 years ago
- SMU-Net]{SMU-Net: Style matching U-Net for brain tumor segmentation with missing modalities☆34Updated 3 years ago
- [IJCAI 2023] Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation☆56Updated last year