gigantenbein / UNet-Zoo
Different U-Net implementations featuring a vanilla U-Net, probabilistic U-Net and PHiSeg. Each with a reversible variant aswell.
☆23Updated 2 years ago
Alternatives and similar repositories for UNet-Zoo:
Users that are interested in UNet-Zoo are comparing it to the libraries listed below
- PyTorch model for the Generalized Probabilistic U-Net. For more details see: https://www.melba-journal.org/papers/2023:005.html☆14Updated last year
- [NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images☆71Updated last year
- SASAN☆25Updated 4 years ago
- Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation☆36Updated 3 years ago
- ☆22Updated 3 years ago
- Codes for our paper "Boundary-Enhanced Self-Supervised Learningfor Brain Structure Segmentation"☆23Updated 2 years ago
- Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion Segmentation☆18Updated 4 years ago
- ☆27Updated 2 years ago
- Official PyTorch implementation of Scribble2Label (MICCAI 2020)☆34Updated 3 years ago
- Uncertainty-Guided Interactive Refinement for Segmentation☆58Updated 3 years ago
- Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels for neurips 2021☆27Updated 2 years ago
- Code for Dual-Consistency Semi-Supervised Learningwith Uncertainty Quantification for COVID-19Lesion Segmentation from CT Images☆29Updated 3 years ago
- Pytorch implementation of MICCAI-2022 paper, Domain-adaptive 3D Medical Image Synthesis: An Efficient Unsupervised Approach https://arxiv…☆20Updated 2 years ago
- [IEEE TMI'22] DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical Images☆16Updated last year
- code for Marginal loss and exclusion loss for partially supervised multi-organ segmentation☆26Updated 3 years ago
- vMFNet: Compositionality Meets Domain-generalised Segmentation☆15Updated 2 years ago
- Code for the paper "Test-time adaptable neural networks for robust medical image segmentation"☆46Updated 4 years ago
- Semi-supervised few-shot learning for medical image segmentation☆26Updated 4 years ago
- [MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation☆39Updated last year
- ☆26Updated last year
- Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation☆35Updated 3 years ago
- [MICCAI 2022] ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac Segmentation☆35Updated 2 years ago
- IEEE-TMI 2021: code for 'Graph-based Region and Boundary Aggregation for Biomedical Image Segmentation'☆28Updated 2 years ago
- SDNet Keras implementation☆44Updated 4 years ago
- Multi-task Attention-based Semi-supervised Learning framework for image segmentation☆42Updated 4 years ago
- Disentangle domain features for cross-modality cardiac image segmentation☆21Updated 3 years ago
- [MICCAI 2022] MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation☆33Updated 2 years ago
- Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation☆36Updated last year
- [IEEE-JBHI'2022] Hematoma Expansion Context Guided Intracranial Hemorrhage Segmentation and Uncertainty Estimation(Pytorch)☆28Updated last year
- Spatial Decomposition Network - TensorFlow☆9Updated 4 years ago