baumgach / vagan-code
Tensorflow implementation of 'Visual Feature Attribution using Wasserstein GANs'
☆56Updated 2 years ago
Alternatives and similar repositories for vagan-code:
Users that are interested in vagan-code are comparing it to the libraries listed below
- Code for tutorial at MICCAI 2022☆93Updated last year
- SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth☆68Updated 6 years ago
- A PyTorch implementation of the Probabilistic U-Net, applied to probabilistic glioma growth☆43Updated 5 years ago
- Tensorflow Code for "PHiSeg: Capturing Uncertainty in Medical Image Segmentation", Proc. MICCAI 2019☆126Updated 2 years ago
- This repository holds the code framework used in the paper Reg R-CNN: Lesion Detection and Grading under Noisy Labels. It is a fork of MI…☆51Updated 2 years ago
- medical image synthesis with GAN framework based on tensorflow (we also have a better version in pytorch: https://github.com/ginobilinie/…☆73Updated 3 years ago
- unsupervised cell-level visual representation learning☆47Updated 6 years ago
- implementation of 3DUNet by PyTorch 1.0☆63Updated 4 years ago
- Repository for the article "Unsupervised domain adaptation for medical imaging segmentation with self-ensembling".☆43Updated 6 years ago
- PyTorch implementation of OrganSegRSTN - CVPR 2018☆108Updated 3 years ago
- code of DenseVoxNet and 3D-DSN☆88Updated 7 years ago
- 3D conditional GAN for medical image segmentation☆38Updated 6 years ago
- ☆53Updated 6 years ago
- Repository containing the code of one of the networks that we employed in the iSEG Grand MICCAI Challenge 2017, infant brain segmentation…☆55Updated 7 years ago
- Artery vein separation☆54Updated 2 years ago
- Datasets, Transforms and Utilities specific to Biomedical Imaging☆109Updated 6 years ago
- ☆95Updated 5 years ago
- ☆42Updated 7 years ago
- SDNet Keras implementation☆44Updated 4 years ago
- Constrained Domain Adaptation for Segmentation☆29Updated 2 years ago
- COVID-19 Pneumonia Lesion segmentation network☆88Updated 3 years ago
- DeepMedic starter code in pytorch☆31Updated 7 years ago
- semi-supervised and task driven data augmentation code to improve segmentation performance☆57Updated last year
- This contains an implementation of the SeGAN model for semantic segmentation introduced in https://arxiv.org/pdf/1703.10239.pdf☆103Updated 6 years ago
- MIDL 2018 / MEDIA 2019: one binary extremely large and inflecting sparse kernel (pytorch)☆44Updated 5 years ago
- This is a copy of package for medical image synthesis work with LRes-ResUnet and GAN (wgan-gp) in pytorch framework☆186Updated 3 years ago
- The following is a new architecture for robust segmentation. It may perform better than a U-Net :) for binary segmentation. I will update…☆25Updated 3 years ago
- A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.☆23Updated 6 years ago
- ☆45Updated 6 years ago
- [TMI'20] Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Data☆64Updated 4 years ago