xmindflow / SSL-contrastiveLinks
[ISBI 2024] Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive Learning
☆24Updated last year
Alternatives and similar repositories for SSL-contrastive
Users that are interested in SSL-contrastive are comparing it to the libraries listed below
Sorting:
- ☆44Updated last year
- SMU-Net]{SMU-Net: Style matching U-Net for brain tumor segmentation with missing modalities☆32Updated 3 years ago
- [MedIA23] Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation☆25Updated last year
- ☆29Updated 8 months ago
- [Nature Machine Intelligence Journal] Official pytorch implementation for Uncertainty-Guided Dual-Views for Semi-Supervised Volumetric M…☆75Updated last year
- MICCAI 2023: DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image Segmentation☆60Updated last year
- [MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation☆40Updated 3 weeks ago
- ☆25Updated 2 months ago
- [ISBI 2024] FuseNet: Self-Supervised Dual-Path Network for Medical Image Segmentation☆22Updated last year
- Code for Boundary Difference Over Union Loss For Medical Image Segmentation☆54Updated last year
- PA-Seg: Learning from Point Annotations for 3D Medical Image Segmentation using Contextual Regularization and Cross Knowledge Distillatio…☆21Updated last year
- Decoupled Consistency for Semi-supervised Medical Image Segmentation(MICCAI 2023)☆25Updated last year
- ☆18Updated 2 years ago
- ☆18Updated last year
- ISBI 2022: Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image Segmentation.☆47Updated 2 years ago
- 【MICCAI 2022】"TBraTS: Trusted Brain Tumor Segmentation"☆52Updated last year
- ☆26Updated 6 months ago
- ☆44Updated 2 years ago
- offical code for: Semi-supervised Pathological Image Segmentation via Cross Distillation of Multiple Attentions. MICCAI 2023.☆56Updated last year
- [MIDL 2023] MMCFormer: Missing Modality Compensation Transformer for Brain Tumor Segmentation☆18Updated last year
- Official implementation of our paper "Self-Supervised Pretraining for 2D Medical Image Segmentation"☆47Updated last year
- [MICCAI 2024 Spotlight, Early Acceptance] PRISM: A Promptable and Robust Interactive Segmentation Model with Visual Prompts☆18Updated 2 months ago
- [CVPR2024] MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding an…☆48Updated 4 months ago
- Multimodal Brain Tumor Segmentation Using Contrastive Learning based Feature Comparison with Monomodal Normal Brain Images☆23Updated 2 years ago
- FPL+: Filtered Pseudo Label-based Unsupervised Cross-Modality Adaptation for 3D Medical Image Segmentation☆28Updated last year
- VFT is a domain generalization model for retinal vessel segmentation that trained on fundus image and test on OCT-A☆18Updated 2 years ago
- [MICCAI 2021] The official code for "Modality-aware Mutual Learning for Multi-modal Medical Image Segmentation"☆46Updated 3 years ago
- MICCAI 2022: code for 'Shape-Aware Weakly/Semi-Supervised Optic Disc and Cup Segmentation with Regional/Marginal Consistency'☆17Updated 2 years ago
- [MICCAI2022] PHTrans: Parallelly Aggregating Global and Local Representations for Medical Image Segmentation☆34Updated 2 years ago
- ☆34Updated 3 years ago