carrenD / Medical-Cross-Modality-Domain-Adaptation
[IJCAI'18] Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss (code&data)
☆285Updated 4 years ago
Alternatives and similar repositories for Medical-Cross-Modality-Domain-Adaptation:
Users that are interested in Medical-Cross-Modality-Domain-Adaptation are comparing it to the libraries listed below
- [TMI'20, AAAI'19] Synergistic Image and Feature Adaptation☆259Updated 3 years ago
- [TMI'20] Unpaired Multi-modal Segmentation via Knowledge Distillation☆110Updated last year
- 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☆108Updated 5 years ago
- Pytorch version of the HyperDenseNet deep neural network for multi-modal image segmentation☆78Updated 5 years ago
- [MICCAI'20] Shape-aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains & A Well-organized Multi-site Dataset☆127Updated 4 years ago
- COVID-19 Pneumonia Lesion segmentation network☆87Updated 3 years ago
- code for paper Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation☆122Updated 3 years ago
- Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning☆385Updated 4 years ago
- abdominal multi-organ segmentation using pytorch☆133Updated 5 years ago
- Code for NeurIPS 2020 article "Contrastive learning of global and local features for medical image segmentation with limited annotations"☆178Updated 3 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
- Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images☆167Updated 4 years ago
- PyTorch implementation of OrganSegRSTN - CVPR 2018☆108Updated 3 years ago
- [CVPR2021] DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets☆182Updated last year
- ☆182Updated 5 years ago
- [TMI'20] Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model☆133Updated 3 years ago
- Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images☆138Updated 4 years ago
- Semi-supervised Medical Image Segmentation through Dual-task Consistency☆297Updated 2 years ago
- A Benchmark for Lung and Infection Segmentation in COVID-19 CT scans☆142Updated 3 years ago
- 3d unet + vae, repoduce brats2018 winner solution☆112Updated 5 years ago
- Code for tutorial at MICCAI 2022☆93Updated last year
- Uncertainty in Medical Image Analysis☆317Updated 3 years ago
- Implementation of NvNet☆133Updated 4 years ago
- The manuscript has been accepted in TMI.☆237Updated 2 years ago
- How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study☆388Updated 3 years ago
- SegAN: Semantic Segmentation with Adversarial Learning☆184Updated 6 years ago
- This is a copy of package for medical image synthesis work with LRes-ResUnet and GAN (wgan-gp) in pytorch framework☆184Updated 3 years ago
- [MICCAI2021] CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation☆305Updated 4 months ago
- ☆141Updated 5 years ago