FeliMe / brain_sas_baselineLinks
Official implementation of the paper "Challenging Current Semi-Supervised Anomaly Segmentation Methods for Brain MRI" accepted to the MICCAI 2021 BrainLes workshop
☆10Updated 3 years ago
Alternatives and similar repositories for brain_sas_baseline
Users that are interested in brain_sas_baseline are comparing it to the libraries listed below
Sorting:
- PyTorch model for the Generalized Probabilistic U-Net. For more details see: https://www.melba-journal.org/papers/2023:005.html☆14Updated last year
- Official implementation of our paper "Self-Supervised Pretraining for 2D Medical Image Segmentation"☆47Updated last year
- The code of Modality-adaptive Feature Interaction for Brain Tumor Segmentation with Missing Modalities☆21Updated 3 years ago
- [AAAI 2023] Official PyTorch implementation of the paper "SLAug: Rethinking Data Augmentation for Single-source Domain Generalization in …☆74Updated 8 months ago
- Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels for neurips 2021☆28Updated 2 years ago
- A collection of self-supervised papers in medical imaging.☆40Updated 4 years ago
- 🏆1st place in the MICCAI challenge CrossMoDA 2023☆17Updated 3 months ago
- MICCAI 2021 Code for the paper: Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation☆39Updated 3 years ago
- Official repository for "C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation"☆17Updated last year
- Official code for Robust T-Loss for Medical Image Segmentation (MICCAI 2023)☆50Updated last year
- [ISBI 2024] Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive Learning☆24Updated last year
- ☆10Updated 2 years ago
- [MedIA'22] Constrained unsupervised anomaly segmentation.☆20Updated 2 years ago
- [MIDL 2023] MMCFormer: Missing Modality Compensation Transformer for Brain Tumor Segmentation☆18Updated last year
- [MICCAI 2022] ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac Segmentation☆37Updated 3 years ago
- Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation☆35Updated 3 years ago
- This repository contains the implementation for our work "Topology-Aware Uncertainty for Image Segmentation", accepted to NeurIPS 2023.☆47Updated 4 months ago
- SMU-Net]{SMU-Net: Style matching U-Net for brain tumor segmentation with missing modalities☆34Updated 3 years ago
- [MICCAI 2022] MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation☆33Updated 2 years ago
- ☆22Updated last year
- Code for Dual-Consistency Semi-Supervised Learningwith Uncertainty Quantification for COVID-19Lesion Segmentation from CT Images☆29Updated 3 years ago
- vMFNet: Compositionality Meets Domain-generalised Segmentation☆16Updated 2 years ago
- [MedIA 2023] The official implementation of MIA paper "Dive into the details of Self-supervised Learning for Medical Image Analysis"☆30Updated last year
- Official repository of "Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation", ICLR 2023.☆65Updated 2 years ago
- Official repository of "Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation", ICLR 2023.☆39Updated 2 years ago
- The official code repo for the paper "Mixture of Stochastic Experts for Modeling Aleatoric Uncertainty in Segmentation". (ICLR 2023)☆28Updated 2 years ago
- ☆25Updated 3 months ago
- Pytorch implementation of MICCAI-2022 paper, Domain-adaptive 3D Medical Image Synthesis: An Efficient Unsupervised Approach https://arxiv…☆21Updated 2 years ago
- Attentive Symmetric Autoencoder for Brain MRI Segmentation-MICCAI 2022☆23Updated last year
- Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation☆35Updated 2 years ago