LightersWang / Awesome-Active-Learning-for-Medical-Image-AnalysisLinks
[MedIA] Paper list and source code for survey "A comprehensive survey on deep active learning in medical image analysis"
☆124Updated 7 months ago
Alternatives and similar repositories for Awesome-Active-Learning-for-Medical-Image-Analysis
Users that are interested in Awesome-Active-Learning-for-Medical-Image-Analysis are comparing it to the libraries listed below
Sorting:
- Awesome Active Domain Adaptation for Medical Image Analysis☆142Updated last year
- ☆102Updated 5 months ago
- CVPR 2024 (Highlight)☆144Updated last year
- PyTorch implementation for MA-SAM☆174Updated 5 months ago
- (TMI-2024) Source-Free Active Domain Adaptation (SFADA) for GTV Segmentation across Multiple Hospitals☆46Updated last year
- [CVPR2024] MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding an…☆58Updated 11 months ago
- MICCAI 2023 Paper (Early Acceptance)☆190Updated 2 years ago
- ☆22Updated 10 months ago
- [CVPR 2024] VoCo: A Simple-yet-Effective Volume Contrastive Learning Framework for 3D Medical Image Analysis☆212Updated last month
- Official implementation of MedCLIP-SAM (MICCAI 2024)☆125Updated 5 months ago
- ☆78Updated last year
- The official repository to build SAT-DS, a medical data collection of over 72 public segmentation datasets, contains over 22K 3D images, …☆135Updated last month
- NeurIPS 2023: Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation☆110Updated last year
- [IEEE-TMI'22] Causality-inspired Single-source Domain Generalization for Medical Image Segmentation (code&data-processing pipeline)☆110Updated 3 years ago
- Code for ISBI 2023 paper "Self Pre-training with Masked Autoencoders for Medical Image Classification and Segmentation"☆161Updated 2 years ago
- A repo for Masked Image Modeling for 3D Medical Images☆33Updated 2 years ago
- Domain Adaptation and Generalization for Medical Image Analysis☆148Updated last year
- [MedIA Best Paper Award] Official implementation of MedIA paper "BayeSeg: Bayesian Modelling for Medical Image Segmentation with Interpre…☆90Updated last year
- [MICCAI 2023] Continual Learning for Abdominal Multi-Organ and Tumor Segmentation☆76Updated last year
- One-Prompt to Segment All Medical Images [CVPR 2024]☆139Updated last year
- [TMI'22] "AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation".☆70Updated 2 years ago
- [TPAMI 2025] Large-Scale 3D Medical Image Pre-training with Geometric Context Priors☆228Updated last month
- [MICCAI2024] Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: A robustness evaluation benchmark with challenging …☆56Updated last year
- [MICCAI 2023] Fundus-Enhanced Disease-Aware Distillation Model for Retinal Disease Classification from OCT Images☆34Updated last month
- [ECCV2022&TPAMI] Official pytorch implementation of UniMiSS & UniMiSS+☆71Updated last year
- MICCAI 2023: DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image Segmentation☆65Updated last year
- ☆66Updated last year
- ☆46Updated 11 months ago
- A collection of papers published in MICCAI 2024 with their code.☆95Updated last year
- Codes and models for Medical Image Analysis (MIA) 2023 paper. Segment Anything Model for Medical Images?.☆167Updated last year