ameliajimenez / curriculum-learning-prior-uncertainty
Curriculum learning for improved femur fracture classification: scheduling data with prior knowledge and uncertainty. Medical Image Analysis.
☆18Updated 3 years ago
Alternatives and similar repositories for curriculum-learning-prior-uncertainty:
Users that are interested in curriculum-learning-prior-uncertainty are comparing it to the libraries listed below
- Code for the MICCAI DART 2020 paper☆32Updated 3 years ago
- ☆21Updated 4 years ago
- Code for Disentangle Align and Fuse for Multimodal and Zero-shot Image Segmentation☆14Updated 2 years ago
- The source code of 'Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification' (MICCAI 2021)☆18Updated 3 years ago
- Code for Dual-Consistency Semi-Supervised Learningwith Uncertainty Quantification for COVID-19Lesion Segmentation from CT Images☆29Updated 3 years ago
- Medical Out-of-Distribution Analysis Challenge MICCAI 2020 Solution☆16Updated 2 years ago
- Official code for 'Unsupervised Local Discrimination for Medical Images'.☆21Updated 3 years ago
- Code for the paper "Test-time adaptable neural networks for robust medical image segmentation"☆46Updated 4 years ago
- Repository for implementation of active learning and semi-supervised learning algorithms and applying them to medical imaging datasets☆16Updated 3 years ago
- ☆36Updated 2 years ago
- Uncertainty-Guided Interactive Refinement for Segmentation☆58Updated 3 years ago
- Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation☆36Updated 2 years ago
- Repository for the Medical Out-of-Distribution Analysis Challenge.☆62Updated 8 months ago
- vMFNet: Compositionality Meets Domain-generalised Segmentation☆16Updated 2 years ago
- The implementation of "Semi-supervised Medical Image Classification with Global Latent Mixing". [MICCAI2020]☆22Updated last year
- Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation☆36Updated 3 years ago
- Unsupervised medical image segmentation using edge mapping and adversarial learning☆20Updated 5 years ago
- Code for our MIDL 2021 submission☆16Updated 4 years ago
- ☆10Updated 2 years ago
- [NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images☆73Updated last year
- 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
- ☆34Updated 3 years ago
- This is the official Pytorch implementation of "Lung Segmentation from Chest X-rays using Variational Data Imputation", Raghavendra Selva…☆43Updated 2 years ago
- Semi-supervised few-shot learning for medical image segmentation☆26Updated 4 years ago
- ☆29Updated last year
- WACV2021 - A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images☆40Updated 8 months ago
- [AAAI 2022 Oral] Separate Contrastive Learning for Organs-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation☆15Updated 2 years ago
- ☆20Updated last year
- ☆24Updated 4 years ago
- code for LG-ER-MT☆15Updated 5 years ago