elchiou / DA
Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion Segmentation
☆18Updated 4 years ago
Alternatives and similar repositories for DA:
Users that are interested in DA are comparing it to the libraries listed below
- ☆22Updated 3 years ago
- Probabilistic segmentation and image matching segmentation network for unsupervised domain adaptation and segmentation☆18Updated 4 years ago
- Code for Dual-Consistency Semi-Supervised Learningwith Uncertainty Quantification for COVID-19Lesion Segmentation from CT Images☆29Updated 3 years ago
- code for Marginal loss and exclusion loss for partially supervised multi-organ segmentation☆26Updated 3 years ago
- code for LG-ER-MT☆15Updated 5 years ago
- domain adaptation with CF distance for medical image segmentation☆27Updated 2 years ago
- Dual-Teacher++: Exploiting Intra-domain and Inter-domain Knowledge with Reliable Transfer for Cardiac Segmentation☆14Updated 4 years ago
- Learning to segment multi-organ and tumorsfrom multiple partially labeled datasets☆19Updated 3 years ago
- Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation☆36Updated 3 years ago
- ☆27Updated 2 years ago
- This code is an implementation of "Pairwise Semantic Segmentation via Conjugate Fully Convolutional network" published at MICCAI 2019, an…☆21Updated 4 years ago
- The official implementation of "CateNorm: Categorical Normalization for Robust Medical Image Segmentation"☆32Updated 2 years ago
- Source code for the paper "Shape-Aware Complementary-Task Learning for Multi-Organ Segmentation" as described in https://arxiv.org/abs/19…☆32Updated 2 years ago
- Disentangle domain features for cross-modality cardiac image segmentation☆21Updated 3 years ago
- Anatomy-Constrained Contrastive Learning for Synthetic Segmentation without Ground-truth (MICCAI 2021)☆23Updated 3 years ago
- Official repository of MICCAI 2022 Parse challenge☆15Updated last year
- Source Free Domain Adaptation☆10Updated 3 years ago
- A deep semi-supervised method (UATS) for medical segmentation☆14Updated 8 months ago
- code for our work: Modeling the Probabilistic Distribution of Unlabeled Data for One-shot Medical Image Segmentation☆10Updated 3 years ago
- Multi-task Attention-based Semi-supervised Learning framework for image segmentation☆42Updated 4 years ago
- [MedIA'22] Instance Importance-Aware Graph Convolutional Network for 3D Medical Diagnosis☆17Updated 3 years ago
- ☆11Updated 3 years ago
- ☆34Updated 3 years ago
- Semi-supervised Segmentation of Tumors from Breast Ultrasound Images with Attentional Generative Adversarial Network☆21Updated 2 years ago
- Patch-free 3D Medical Image Segmentation☆35Updated 3 years ago
- Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels for neurips 2021☆27Updated 2 years ago
- 3D vessel-like structure segmentation in pytorch☆31Updated last year
- SDNet Keras implementation☆44Updated 4 years ago
- [MICCAI 2022] ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac Segmentation☆36Updated 2 years ago
- [MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation☆39Updated 2 weeks ago