lab-smile / DOMINO
☆10Updated 2 years ago
Alternatives and similar repositories for DOMINO:
Users that are interested in DOMINO are comparing it to the libraries listed below
- ☆9Updated 2 years ago
- ☆16Updated last year
- Pytorch implementation of MICCAI-2022 paper, Domain-adaptive 3D Medical Image Synthesis: An Efficient Unsupervised Approach https://arxiv…☆20Updated 2 years ago
- ☆24Updated 3 years ago
- PyTorch model for the Generalized Probabilistic U-Net. For more details see: https://www.melba-journal.org/papers/2023:005.html☆13Updated 10 months ago
- blob loss example implementation☆36Updated 5 months ago
- Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation☆36Updated 3 years ago
- Structure-Aware Image Segmentation with Homotopy Warping☆11Updated last year
- TarGAN - Official PyTorch Implementation (MICCAI 2021)☆22Updated 3 years ago
- iSegFormer: Interactive Image/Volume Segmentation using Vision Transformers (MICCAI 2022)☆27Updated 6 months ago
- ☆49Updated 5 months ago
- the cross-modality MAS method☆17Updated 2 years ago
- Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion Segmentation☆18Updated 4 years ago
- Anatomically-aware Uncertainty for Semi-supervised Image Segmentation☆14Updated 11 months ago
- Pytorch implementation of our paper accepted by NCA2021 -- Hierarchical Deep Network with Uncertainty aware Semi-supervised Learning for …☆12Updated last year
- ☆22Updated 3 years ago
- Toward Universal Medical Image Registration via Sharpness-Aware Meta-Continual Learning (MICCAI 2024)☆13Updated 4 months ago
- This repository contains the implementation for our work "Topology-Aware Uncertainty for Image Segmentation", accepted to NeurIPS 2023.☆41Updated last month
- Code for paper "Evidence fusion with contextual discounting for multi-modality medical image segmentation"☆17Updated 2 years ago
- [MedIA'22] Instance Importance-Aware Graph Convolutional Network for 3D Medical Diagnosis☆17Updated 2 years ago
- Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated Uncertainty☆24Updated 8 months ago
- [MIDL 2022 Oral] Learning Morphological Feature Perturbations for Calibrated Semi Supervised Segmentation☆23Updated last year
- [IEEE TMI'22] DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical Images☆16Updated last year
- [MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation☆39Updated last year
- ☆9Updated 3 months ago
- Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels for neurips 2021☆26Updated 2 years ago
- MICCAI 2021 Code for the paper: Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation☆36Updated 3 years ago
- [MICCAI 2022] ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac Segmentation☆35Updated 2 years ago
- Code of the paper Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation.☆15Updated 2 years ago
- [TMI2023] Context Label Learning: Improving Background Class Representations in Semantic Segmentation.☆19Updated 11 months ago