mlnotebook / domain_adapation_istn
Adversarially training Image and Spatial Transformer Networks to perform Domain Adapation
☆13Updated 4 years ago
Alternatives and similar repositories for domain_adapation_istn:
Users that are interested in domain_adapation_istn are comparing it to the libraries listed below
- Code for Disentangle Align and Fuse for Multimodal and Zero-shot Image Segmentation☆14Updated 2 years ago
- A PyTorch implementation of the Probabilistic U-Net, applied to probabilistic glioma growth☆43Updated 5 years ago
- Uncertainty-Guided Interactive Refinement for Segmentation☆58Updated 3 years ago
- Code release for the paper I. Zakazov, B. Shirokikh et al. "Anatomy of Domain Shift Impact on U-Net Layers in MRI Segmentation" (MICCAI 2…☆13Updated 3 years ago
- Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation☆36Updated last year
- A solution to MICCAI 2020 M&Ms☆25Updated 4 years ago
- Code for our MIDL 2021 submission☆16Updated 3 years ago
- TarGAN - Official PyTorch Implementation (MICCAI 2021)☆22Updated 3 years ago
- Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation☆53Updated last year
- ☆19Updated 3 years ago
- [AAAI'19] Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation☆13Updated 5 years ago
- Code for Dual-Consistency Semi-Supervised Learningwith Uncertainty Quantification for COVID-19Lesion Segmentation from CT Images☆29Updated 3 years ago
- SDNet Keras implementation☆44Updated 4 years ago
- ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping☆53Updated 2 years ago
- ☆36Updated 2 years ago
- Code for Disentangle Align and Fuse for Multimodal and Zero-shot Image Segmentation☆16Updated 4 years ago
- A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI☆15Updated 2 years ago
- Repository for the Medical Out-of-Distribution Analysis Challenge.☆61Updated 6 months ago
- Code for deep learning-based glioma/tumor growth models☆24Updated 3 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
- A toolkit for fetal brain localization and segmentation using deep learning☆22Updated 5 years ago
- Multi-Modal Learning from Unpaired Images: Application to Multi-Organ Segmentation in CT and MRI.☆24Updated 6 years ago
- Code for the paper "Test-time adaptable neural networks for robust medical image segmentation"☆46Updated 4 years ago
- MvMM-RegNet: A new image registration framework based on multivariate mixture model and neural network estimation (MICCAI 2020)☆30Updated 7 months ago
- Spatial Decomposition Network (SDNet) for content (anatomy) and style (modality) disentanglement☆23Updated 2 years ago
- ☆16Updated 6 years ago
- Attentive Symmetric Autoencoder for Brain MRI Segmentation-MICCAI 2022☆23Updated last year
- Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading from Plain Radiographs☆13Updated last year
- MICCAI 2021 Code for the paper: Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation☆36Updated 3 years ago
- [MICCAI2019 & TMI2020] Overfitting under Class Imbalance: Anaylsis and Improvements for Medical Image Segmentation.☆21Updated last year