carrenD / Medical-Cross-Modality-Domain-Adaptation
[IJCAI'18] Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss (code&data)
☆282Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for Medical-Cross-Modality-Domain-Adaptation
- [TMI'20, AAAI'19] Synergistic Image and Feature Adaptation☆255Updated 3 years ago
- This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenario…☆149Updated 5 years ago
- PyTorch implementation of 'Squeeze and Excite' Guided Few Shot Segmentation of Volumetric Scans☆104Updated 5 years ago
- PyTorch implementation of OrganSegRSTN - CVPR 2018☆108Updated 2 years ago
- This is a copy of package for medical image synthesis work with LRes-ResUnet and GAN (wgan-gp) in pytorch framework☆183Updated 3 years ago
- Pytorch version of the HyperDenseNet deep neural network for multi-modal image segmentation☆78Updated 5 years ago
- SegAN: Semantic Segmentation with Adversarial Learning☆183Updated 6 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
- abdominal multi-organ segmentation using pytorch☆133Updated 5 years ago
- Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning☆379Updated 4 years ago
- [TMI'20] Unpaired Multi-modal Segmentation via Knowledge Distillation☆108Updated last year
- code for paper Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation☆121Updated 3 years ago
- COVID-19 Pneumonia Lesion segmentation network☆87Updated 3 years ago
- ☆182Updated 4 years ago
- code for MICCAI 2019 paper 'Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation'.☆481Updated 4 years ago
- Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images☆136Updated 3 years ago
- Implementation of "Data augmentation using learned transforms for one-shot medical image segmentation"☆392Updated 4 years ago
- Semi-supervised Medical Image Segmentation through Dual-task Consistency☆292Updated 2 years ago
- [MICCAI'20] Shape-aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains & A Well-organized Multi-site Dataset☆120Updated 4 years ago
- How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study☆381Updated 3 years ago
- A Benchmark for Lung and Infection Segmentation in COVID-19 CT scans☆139Updated 3 years ago
- ☆139Updated 5 years ago
- Implementation of NvNet☆132Updated 4 years ago
- [MICCAI2021] CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation☆292Updated 2 months ago
- Tensorflow Code for "PHiSeg: Capturing Uncertainty in Medical Image Segmentation", Proc. MICCAI 2019☆123Updated last year
- Code for tutorial at MICCAI 2022☆92Updated last year
- Uncertainty in Medical Image Analysis☆315Updated 3 years ago
- An example project of how to use a U-Net for segmentation on medical images with PyTorch.☆140Updated 3 months ago
- [TMI'20] Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Data☆64Updated 4 years ago
- 3d unet + vae, repoduce brats2018 winner solution☆113Updated 5 years ago