adgaudio / O-MedAL
O-MedAL: Online Active Deep Learning for Medical Image Analysis. This repo contains code for the paper.
☆18Updated 2 years ago
Related projects: ⓘ
- ☆36Updated last year
- [IEEE JBHI'20] Contrastive Cross-site Learning with Redesigned Net for COVID-19 CT Classification☆54Updated 3 years ago
- A manually annotated test set for DeepLesion with 3D lesion boxes☆23Updated 3 years ago
- Repository for the Medical Out-of-Distribution Analysis Challenge.☆60Updated last month
- Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation☆52Updated 11 months ago
- Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation☆34Updated last year
- [TMI'20] Unpaired Multi-modal Segmentation via Knowledge Distillation☆107Updated last year
- Attention Based Deep 3D Multiple Instance Learning☆23Updated 4 years ago
- A PyTorch implementation of the Probabilistic U-Net, applied to probabilistic glioma growth☆43Updated 5 years ago
- semi-supervised and task driven data augmentation code to improve segmentation performance☆56Updated last year
- Example Code for Self-Supervised Feature Learning in Medical Volume Scans☆14Updated 4 years ago
- Unsupervised medical image segmentation using edge mapping and adversarial learning☆19Updated 4 years ago
- Code for Dual-Consistency Semi-Supervised Learningwith Uncertainty Quantification for COVID-19Lesion Segmentation from CT Images☆29Updated 2 years ago
- Uncertainty-Guided Interactive Refinement for Segmentation☆58Updated 3 years ago
- [NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images☆71Updated last year
- demo of a vae model for pancreas segmentation.☆28Updated 4 years ago
- Official Keras & PyTorch Implementation and Pre-trained Models for TransVW☆61Updated 2 years ago
- Feature extraction for overall survival prediction in BraTS 2019 challenge☆11Updated 3 years ago
- Official PyTorch implementation for paper Context Matters: Graph-based Self-supervised Representation Learning for Medical Images☆59Updated last year
- Code for Paper: Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification☆44Updated 4 years ago
- The model of "Attention Based Glaucoma Detection: A Large-scale Database with a CNN Model" (CVPR2019)☆67Updated 5 years ago
- Official code for 'Unsupervised Local Discrimination for Medical Images'.☆21Updated 2 years ago
- A solution to MICCAI 2020 M&Ms☆25Updated 4 years ago
- Learning image representations for anomaly detection: application to discovery of histological alterations in drug development☆17Updated 8 months ago
- [TMI'20] Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Data☆64Updated 4 years ago
- Code for Disentangle Align and Fuse for Multimodal and Zero-shot Image Segmentation☆16Updated 3 years ago
- Code for tutorial at MICCAI 2022☆92Updated 10 months ago
- My implementation for the MRNet competition hosted by the Stanford ML group☆32Updated 5 years ago
- Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation☆36Updated 2 years ago
- Code for the MICCAI DART 2020 paper☆33Updated 3 years ago
- Repository for implementation of active learning and semi-supervised learning algorithms and applying them to medical imaging datasets☆16Updated 3 years ago