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"
☆103Updated 2 weeks 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☆105Updated 6 months ago
- [CVPR 2024] VoCo: A Simple-yet-Effective Volume Contrastive Learning Framework for 3D Medical Image Analysis☆191Updated 6 months ago
- ☆85Updated 5 months ago
- PyTorch implementation for MA-SAM☆158Updated 8 months ago
- [IEEE-TMI'22] Causality-inspired Single-source Domain Generalization for Medical Image Segmentation (code&data-processing pipeline)☆101Updated 2 years ago
- Code for ISBI 2023 paper "Self Pre-training with Masked Autoencoders for Medical Image Classification and Segmentation"☆136Updated last year
- MICCAI 2023 Paper (Early Acceptance)☆185Updated last year
- The official repository to build SAT-DS, a medical data collection of over 72 public segmentation datasets, contains over 22K 3D images, …☆105Updated last month
- ☆70Updated last year
- CVPR 2024 (Highlight)☆136Updated 8 months ago
- Official implementation of MedCLIP-SAM (MICCAI 2024)☆103Updated 7 months ago
- NeurIPS 2023: Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation☆102Updated last year
- Official PyTorch Implementation for DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysi…☆102Updated last year
- Domain Adaptation and Generalization for Medical Image Analysis☆137Updated last year
- ☆55Updated last year
- A Pytorch implement of medical image segmentation U-shape architecture benchmarks☆106Updated 11 months ago
- [AAAI 2025] Official repository of Generative Medical Segmentation☆59Updated 6 months ago
- MICCAI 2023: DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image Segmentation☆61Updated last year
- the official repository for CVPR 2024 paper "One-Prompt to Segment All Medical Images"☆128Updated last year
- [CVPR 2024 Extension] 160K volumes (42M slices) datasets, 31M-1.2B pre-trained models, various pre-training recipes, 50+ downstream tasks…☆168Updated 3 months ago
- 【MICCAI 2022】"TBraTS: Trusted Brain Tumor Segmentation"☆53Updated last year
- [MICCAI 2022] The official code for "mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentat…☆121Updated last year
- [AAAI 2023] Official PyTorch implementation of the paper "SLAug: Rethinking Data Augmentation for Single-source Domain Generalization in …☆74Updated 8 months ago
- ☆23Updated 7 months ago
- [Nature Machine Intelligence Journal] Official pytorch implementation for Uncertainty-Guided Dual-Views for Semi-Supervised Volumetric M…☆74Updated last year
- ☆73Updated last year
- Codes and models for Medical Image Analysis (MIA) 2023 paper. Segment Anything Model for Medical Images?.☆156Updated 8 months ago
- A collection of papers published in MICCAI 2024 with their code.☆66Updated 8 months ago
- The official implementation of "Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification"☆77Updated last year
- ☆21Updated 4 months ago