heudiasyc / Evidence-fusion-with-contextual-discountingLinks
Code for paper "Evidence fusion with contextual discounting for multi-modality medical image segmentation"
☆17Updated 2 years ago
Alternatives and similar repositories for Evidence-fusion-with-contextual-discounting
Users that are interested in Evidence-fusion-with-contextual-discounting are comparing it to the libraries listed below
Sorting:
- [MICCAI 2021] Official Implementation for "MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Lab…☆32Updated 3 years ago
- code for TMI DoFE: Domain-oriented Feature Embeddingfor Generalizable Fundus Image Segmentationon Unseen Datasets☆58Updated 3 years ago
- ☆18Updated 3 years ago
- [MICCAI 2022] ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac Segmentation☆37Updated 3 years ago
- Multimodal Brain Tumor Segmentation Using Contrastive Learning based Feature Comparison with Monomodal Normal Brain Images☆23Updated 2 years ago
- The code repo for "FUSSNet: Fusing Two Sources of Uncertainty forSemi-Supervised Medical Image Segmentation"☆14Updated 3 years ago
- [MICCAI'21] Source-Free domain adaptive fundus image segmentation with denoised pseudo-labeling☆59Updated 3 years ago
- The code of Modality-adaptive Feature Interaction for Brain Tumor Segmentation with Missing Modalities☆21Updated 3 years ago
- ☆34Updated 4 years ago
- ☆28Updated 2 years ago
- [MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation☆40Updated 2 months ago
- [AAAI 2023] Official PyTorch implementation of the paper "SLAug: Rethinking Data Augmentation for Single-source Domain Generalization in …☆74Updated 8 months ago
- ☆29Updated 2 years ago
- Code for [MICCAI 2022] Domain Specific Convolution and High Frequency Reconstruction based Unsupervised Domain Adaptation for Medical Ima…☆28Updated 2 years ago
- ☆46Updated 3 years ago
- The official implementation of "Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmen…☆40Updated 2 years ago
- [TMI'2022] SASSL☆14Updated 2 years ago
- [AAAI 2022 Oral] Separate Contrastive Learning for Organs-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation☆15Updated 3 years ago
- [CMIG‘2022] [Pytorch]A Contrastive Consistency Semi-supervised Left Atrium Segmentation Model☆14Updated 2 years ago
- [ICASSP 2023] Prototype Knowledge Distillation for Medical Segmentation with Missing Modality☆52Updated 5 months ago
- domain adaptation with CF distance for medical image segmentation☆27Updated 3 years ago
- ☆39Updated 3 years ago
- Code for Dual-Consistency Semi-Supervised Learningwith Uncertainty Quantification for COVID-19Lesion Segmentation from CT Images☆29Updated 3 years ago
- 【MICCAI 2022】"TBraTS: Trusted Brain Tumor Segmentation"☆54Updated last year
- [MICCAI2021] This is an official PyTorch implementation for "Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image Segment…☆51Updated 3 years ago
- Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated Uncertainty☆27Updated last year
- Code for S-cuda: Self-Cleansing Unsupervised Domain Adaptation for Medical Image Segmentation☆28Updated 4 years ago
- [IEEE TMI'22] DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical Images☆18Updated 2 years ago
- [CVPR2024] MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding an…☆51Updated 5 months ago
- [IEEE TMI 2022] Official Implementation for "LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentation"☆11Updated last year