raghavian / lungVAELinks
This is the official Pytorch implementation of "Lung Segmentation from Chest X-rays using Variational Data Imputation", Raghavendra Selvan et al. 2020
☆44Updated 2 years ago
Alternatives and similar repositories for lungVAE
Users that are interested in lungVAE are comparing it to the libraries listed below
Sorting:
- Official Keras & PyTorch Implementation and Pre-trained Models for TransVW☆63Updated 3 years ago
- Volumetric MRI brain tumor segmentation using autoencoder regularization☆48Updated 2 years ago
- My implementation for the MRNet competition hosted by the Stanford ML group☆38Updated 6 years ago
- PyTorch implementation of the MRNet paper, developed for the MRNet Competition hosted by the Stanford ML Group☆48Updated 6 years ago
- A PyTorch implementation of the Probabilistic U-Net, applied to probabilistic glioma growth☆43Updated 6 years ago
- Official Keras & PyTorch Implementation and Pre-trained Models for Semantic Genesis - MICCAI 2020☆82Updated 3 years ago
- Code for the paper: Valvano G. et al. (2021), Learning to Segment from Scribbles using Multi-scale Adversarial Attention Gates☆43Updated 3 years ago
- [TMI'20] Unpaired Multi-modal Segmentation via Knowledge Distillation☆111Updated 2 years ago
- Repository for the Medical Out-of-Distribution Analysis Challenge.☆63Updated 11 months ago
- The implementation of "Semi-supervised Medical Image Classification with Global Latent Mixing". [MICCAI2020]☆24Updated last year
- An unsupervised (or self-supervised) loss function for binary image segmentation (TensorFlow)☆71Updated 3 years ago
- Segmentation of prostate from MRI scans☆44Updated 4 years ago
- Pytorch version of the HyperDenseNet deep neural network for multi-modal image segmentation☆80Updated 5 years ago
- Official Pytorch implementation of model in "Tensor Networks for Medical Image Classification", Raghavendra Selvan & Erik Dam, MIDL 2020☆26Updated 2 years ago
- Accepted in MIDL 2020☆32Updated 4 years ago
- Application of U-Net in Lung Segmentation-Pytorch☆30Updated 5 years ago
- COVID-19 Pneumonia Lesion segmentation network☆88Updated 3 years ago
- [IEEE JBHI'20] Contrastive Cross-site Learning with Redesigned Net for COVID-19 CT Classification☆54Updated 4 years ago
- Tensorflow Code for "PHiSeg: Capturing Uncertainty in Medical Image Segmentation", Proc. MICCAI 2019☆128Updated 2 years ago
- ☆21Updated 6 years ago
- A Tensorflow Implementation of Brain Tumor Segmentation using Topological Loss☆32Updated 6 years ago
- semi-supervised and task driven data augmentation code to improve segmentation performance☆57Updated 2 years ago
- Repository for the article "Unsupervised domain adaptation for medical imaging segmentation with self-ensembling".☆43Updated 6 years ago
- Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation☆55Updated last year
- Code for Paper: Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification☆45Updated 5 years ago
- Official implementation of the paper "Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classific…☆25Updated 2 years ago
- ICVGIP' 18 Oral Paper - Classification of thoracic diseases on ChestX-Ray14 dataset☆46Updated 4 years ago
- Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images☆143Updated 4 years ago
- Material of the MICCAI 2020 tutorial on weakly supervised learning for semantic segmentation. The updated tutorial (2021 and onwards) is …☆17Updated 4 years ago
- An example project of how to use a U-Net for segmentation on medical images with PyTorch.☆145Updated 11 months ago