biomedia-mira / counterfactual-contrastiveLinks
Code for the paper "Robust representations for image classification via counterfactual contrastive learning" (Medical Image Analysis) and "Counterfactual contrastive learning: robust representations via causal image synthesis" (MICCAI Data Engineering Workshop)
☆19Updated 4 months ago
Alternatives and similar repositories for counterfactual-contrastive
Users that are interested in counterfactual-contrastive are comparing it to the libraries listed below
Sorting:
- (ICML 2023) High Fidelity Image Counterfactuals with Probabilistic Causal Models☆63Updated 7 months ago
- Codebase for Patched Diffusion Models for Unsupervised Anomaly Detection .☆50Updated 7 months ago
- [MICCAI'2024 (Oral, Candidate @ Best Paper Award), MedIA 2025 (Runner up @ MedIA Best Paper Award] Official implementation of the Brain L…☆107Updated last month
- Med-NCA: Robust and Lightweight Segmentation with Neural Cellular Automata☆10Updated 2 years ago
- Semi-Supervised Learning for Deep Causal Generative Models☆22Updated last year
- The medical imaging meta-learning toolbox allows to build models that learn to learn in a setting with diverse tasks. It also provides co…☆43Updated last year
- [MIDL 2025] Efficient Automated Interpretation of Medical Images with Large-Scale Generalizable Autoencoders☆147Updated last week
- Repository to train ControlNet on Brain data (UK BIOBANK) using MONAI Generative Models☆87Updated 2 years ago
- A Foundation Model for Brain Lesion Segmentation☆25Updated 2 months ago
- ☆49Updated last year
- ☆74Updated last year
- Repository associated to the UQinMIA Tutorial @ MICCAI 2023☆31Updated last month
- Archive for Self-supervised learning in Medical images (A4SM).☆60Updated 3 years ago
- BM-MAE: Multimodal Masked Autoencoder Pre-training for 3D MRI-based Brain Tumor Analysis with Missing Modalities☆23Updated 2 months ago
- Official code for Robust T-Loss for Medical Image Segmentation (MICCAI 2023)☆53Updated 2 years ago
- [ECCV 2024] Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging☆31Updated last month
- [CVPR 2025] Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization☆18Updated 8 months ago
- [MICCAI 2024] Easy diffusion models (optionally with segmentation guidance) for medical images and beyond.☆193Updated 4 months ago
- Data & Code for FEDD published @ MICCAI 23☆12Updated 2 years ago
- [pip install medsegbench] 35x Standardized Medical Segmentation Datasets from Different Data Modalities☆26Updated 11 months ago
- PyTorch model for the Generalized Probabilistic U-Net. For more details see: https://www.melba-journal.org/papers/2023:005.html☆14Updated last year
- ☆53Updated 2 months ago
- Anomaly detection with diffusion models☆135Updated 2 years ago
- ☆32Updated last year
- ☆123Updated 10 months ago
- The official implementation of our IPMI 2023 paper "SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image Generation"☆66Updated 2 years ago
- Code base for the paper ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations☆54Updated 11 months ago
- Code for https://arxiv.org/abs/2305.19643☆16Updated last year
- Codes for "Harmonizing Flows: Unsupervised MR harmonization based on normalizing flows"☆22Updated last year
- MICCAI 2024 code for the paper: EchoNet-Synthetic: Privacy-preserving Video Generation for Safe Medical Data Sharing. EchoNet-Synthetic i…☆34Updated 4 months ago