gaozhitong / MoSE-AUSegLinks
The official code repo for the paper "Mixture of Stochastic Experts for Modeling Aleatoric Uncertainty in Segmentation". (ICLR 2023)
☆28Updated last year
Alternatives and similar repositories for MoSE-AUSeg
Users that are interested in MoSE-AUSeg are comparing it to the libraries listed below
Sorting:
- Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels for neurips 2021☆28Updated 2 years ago
- ☆10Updated 2 years ago
- PyTorch model for the Generalized Probabilistic U-Net. For more details see: https://www.melba-journal.org/papers/2023:005.html☆14Updated last year
- Code base for "On-the-Fly Test-time Adaptation for Medical Image Segmentation"☆30Updated 3 years ago
- vMFNet: Compositionality Meets Domain-generalised Segmentation☆16Updated 2 years ago
- Official code for Robust T-Loss for Medical Image Segmentation (MICCAI 2023)☆50Updated last year
- ☆12Updated last year
- Code for "NVUM: Non-volatile Unbiased Memory for Robust Medical Classification" [MICCAI 2022 Early Accept]☆12Updated 2 years ago
- The official code for our BVM 2022 paper "Few-shot Unsupervised Domain Adaptation for Multi-modal Cardiac Image Segmentation"☆16Updated last year
- Repository for "Stochastic Segmentation with Conditional Categorical Diffusion Models" (ICCV 2023)☆46Updated last year
- Official code for "BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification"☆26Updated last year
- [NeurIPS'23] Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization☆16Updated 10 months ago
- Code paper Uncertainty Reduction for Uncertainty Reduction for Model Adaptation in Semantic Segmentation at CVPR 2021☆51Updated 2 years ago
- Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation☆35Updated 3 years ago
- ☆28Updated 2 years ago
- Official implementation of the paper "Challenging Current Semi-Supervised Anomaly Segmentation Methods for Brain MRI" accepted to the MIC…☆10Updated 3 years ago
- Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation☆36Updated 3 years ago
- [ECCV2024] Domesticating SAM for Breast Ultrasound Image Segmentation via Spatial-frequency Fusion and Uncertainty Correction☆12Updated 11 months ago
- A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation☆28Updated last year
- [IEEE TMI'22] DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical Images☆18Updated 2 years ago
- ☆13Updated 11 months ago
- AAAI2023 Reducing Domain Gap in Frequency and Spatial domain for Cross-modality Domain Adaptation on Medical Image Segmentation☆28Updated last year
- official implementation of the proposed decoupled feature query (DFQ)☆13Updated last year
- Anatomically-aware Uncertainty for Semi-supervised Image Segmentation☆19Updated last year
- Different U-Net implementations featuring a vanilla U-Net, probabilistic U-Net and PHiSeg. Each with a reversible variant aswell.☆23Updated 2 years ago
- [ECCV'22] Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration☆43Updated 11 months ago
- Learning to Segment from Noisy Annotations: A Spatial Correction Approach☆20Updated last year
- Adversarial Continual Learning for Multi-Domain Hippocampal Segmentation☆14Updated 3 years ago
- Code for the paper : Do we really need dice? The hidden region-size biases of segmentation losses. MeDIA 2023. https://www.sciencedirect.…☆41Updated last year
- ☆24Updated 4 years ago