ThierryJudge / CRISP-uncertainty
☆9Updated 2 years ago
Alternatives and similar repositories for CRISP-uncertainty:
Users that are interested in CRISP-uncertainty are comparing it to the libraries listed below
- [MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation☆39Updated last year
- Anatomically-aware Uncertainty for Semi-supervised Image Segmentation☆14Updated last year
- Code for Dual-Consistency Semi-Supervised Learningwith Uncertainty Quantification for COVID-19Lesion Segmentation from CT Images☆29Updated 3 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☆13Updated 11 months ago
- ☆26Updated last year
- ☆22Updated 3 years ago
- [MedIA'22] Instance Importance-Aware Graph Convolutional Network for 3D Medical Diagnosis☆17Updated 2 years ago
- Code for paper "Evidence fusion with contextual discounting for multi-modality medical image segmentation"☆17Updated 2 years ago
- [AAAI 2022 Oral] Separate Contrastive Learning for Organs-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation☆15Updated 2 years ago
- [MICCAI 2024 Spotlight, Early Acceptance] PRISM: A Promptable and Robust Interactive Segmentation Model with Visual Prompts☆18Updated 5 months ago
- [ISBI 2024] Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive Learning☆24Updated 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
- ☆24Updated 3 years ago
- Attentive Symmetric Autoencoder for Brain MRI Segmentation-MICCAI 2022☆23Updated last year
- [MICCAI 2022] MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation☆33Updated 2 years ago
- ☆16Updated last year
- Official code for Robust T-Loss for Medical Image Segmentation (MICCAI 2023)☆48Updated last year
- [MICCAI 2022] ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac Segmentation☆35Updated 2 years ago
- Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated Uncertainty☆24Updated 10 months ago
- The official implementation of "CateNorm: Categorical Normalization for Robust Medical Image Segmentation"☆32Updated 2 years ago
- blob loss example implementation☆37Updated 6 months ago
- ☆16Updated last year
- vMFNet: Compositionality Meets Domain-generalised Segmentation☆15Updated 2 years ago
- Pytorch implementation of our paper accepted by NCA2021 -- Hierarchical Deep Network with Uncertainty aware Semi-supervised Learning for …☆12Updated last year
- ☆11Updated 3 years ago
- TarGAN - Official PyTorch Implementation (MICCAI 2021)☆22Updated 3 years ago
- ☆57Updated last year
- [CMIG‘2022] [Pytorch]A Contrastive Consistency Semi-supervised Left Atrium Segmentation Model☆14Updated 2 years ago
- Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels for neurips 2021☆26Updated 2 years ago