stefanknegt / Probabilistic-Unet-PytorchLinks
A Probabilistic U-Net for segmentation of ambiguous images implemented in PyTorch
☆285Updated 6 years ago
Alternatives and similar repositories for Probabilistic-Unet-Pytorch
Users that are interested in Probabilistic-Unet-Pytorch are comparing it to the libraries listed below
Sorting:
- Uncertainty in Medical Image Analysis☆315Updated 3 years ago
- matlab and python wrap of crf and dense crf, both 2d and 3d are supported☆169Updated 2 years ago
- Tensorflow Code for "PHiSeg: Capturing Uncertainty in Medical Image Segmentation", Proc. MICCAI 2019☆128Updated 2 years ago
- Code for NeurIPS 2020 article "Contrastive learning of global and local features for medical image segmentation with limited annotations"☆183Updated 4 years ago
- A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.☆556Updated 2 years ago
- ☆191Updated 3 years ago
- ☆323Updated 2 weeks ago
- [IJCAI'18] Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss (code&data)☆300Updated 5 years ago
- [TMI'20, AAAI'19] Synergistic Image and Feature Adaptation☆267Updated 4 years ago
- How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study☆392Updated 4 years ago
- This repository implements pytorch version of the modifed 3D U-Net from Fabian Isensee et al. participating in BraTS2017☆218Updated 6 years ago
- implementation of 3DUNet by PyTorch 1.0☆63Updated 5 years ago
- ☆84Updated 6 years ago
- PyTorch implementation of 'Squeeze and Excite' Guided Few Shot Segmentation of Volumetric Scans☆112Updated 5 years ago
- Code for our paper SAUNet: Shape Attentive U-Net for Interpretable Medical Image Segmentation. https://arxiv.org/pdf/2001.07645v3.pdf pub…☆97Updated 4 years ago
- Repository for the article "Unsupervised domain adaptation for medical imaging segmentation with self-ensembling".☆43Updated 6 years ago
- [IEEE JBHI'21] Reinventing 2D Convolutions for 3D Images - 1 line of code to convert pretrained 2D models to 3D!☆167Updated last year
- Implementation of active contour loss function☆200Updated 5 years ago
- PyTorch implementation of OrganSegRSTN - CVPR 2018☆108Updated 3 years ago
- Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images☆143Updated 4 years ago
- A loss function (Weighted Hausdorff Distance) for object localization in PyTorch☆91Updated 7 years ago
- [MICCAI'20] Shape-aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains & A Well-organized Multi-site Dataset☆128Updated 5 years ago
- ☆142Updated 4 years ago
- Stochastic Segmentation Networks☆66Updated 5 years ago
- [TMI'20] Unpaired Multi-modal Segmentation via Knowledge Distillation☆111Updated 2 years ago
- Pytorch Implementations of Common modules, blocks and losses for CNNs specifically for segmentation models☆33Updated 4 years ago
- Official Pytorch Code of KiU-Net for Image/3D Segmentation - MICCAI 2020 (Oral), IEEE TMI☆386Updated 2 years ago
- PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks☆321Updated 5 years ago
- ☆147Updated 5 years ago
- [MICCAI2021] CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation☆312Updated 10 months ago