estanley16 / SimBA
Implementation for Simulated Bias in Artificial Medical Images (SimBA) framework π¦
β10Updated last month
Alternatives and similar repositories for SimBA:
Users that are interested in SimBA are comparing it to the libraries listed below
- A collection of self-supervised papers in medical imaging.β39Updated 4 years ago
- Archive for Self-supervised learning in Medical images (A4SM).β59Updated 2 years ago
- This repository summarizes the material gathered for the tutorial on learning disentangled representations in the imaging domain, and serβ¦β62Updated 2 years ago
- Dynamic Affine Feature Map Transformβ41Updated 9 months ago
- Code for the paper "Test-time adaptable neural networks for robust medical image segmentation"β46Updated 4 years ago
- Reproducing CheXpert paper using the PyTorch library.β39Updated 2 years ago
- Official Pytorch Implementation for y-Aware Contrastive Learningβ57Updated last year
- vMFNet: Compositionality Meets Domain-generalised Segmentationβ16Updated 2 years ago
- Prostate cancer detection from ultrasound using foundation models and domain knowledgeβ11Updated 2 months ago
- Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentationβ36Updated last year
- [IPMI'23] Diffusion Model based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantificationβ13Updated last year
- GAN-based method to create counterfactual explanations for chest X-raysβ24Updated 2 years ago
- [ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imagingβ62Updated last year
- Code for continual machine learning using a dynamic memory (Perkonigg et al. Nat Comms 2021)β14Updated last year
- [NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Imagesβ71Updated last year
- Self-supervised Longitudinal Neighbourhood Embedding (LNE), MICCAI2021 & Speicial Issue on Medical Image Analysisβ30Updated 2 years ago
- Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentationβ36Updated 3 years ago
- ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mappingβ53Updated 2 years ago
- β12Updated 7 months ago
- Official PyTorch implementation for paper Context Matters: Graph-based Self-supervised Representation Learning for Medical Imagesβ58Updated 2 years ago
- β22Updated 2 years ago
- β63Updated 2 years ago
- Official PyTorch Implementation for CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging - MIDL 20β¦β10Updated 2 years ago
- [IEEE TMI 2022] Official Implementation for "LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentation"β11Updated last year
- β11Updated 4 months ago
- Semi-Supervised-Learningβ12Updated 2 years ago
- β23Updated 2 years ago
- Hecktor-2021 Challenge Task-2 (Prognosis) codeβ17Updated 3 years ago
- β21Updated 2 months ago
- PyTorch model for the Generalized Probabilistic U-Net. For more details see: https://www.melba-journal.org/papers/2023:005.htmlβ14Updated last year