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 5 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:
- Codebase for Patched Diffusion Models for Unsupervised Anomaly Detection .☆50Updated 8 months ago
- (ICML 2023) High Fidelity Image Counterfactuals with Probabilistic Causal Models☆66Updated 7 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
- Archive for Self-supervised learning in Medical images (A4SM).☆60Updated 3 years ago
- Official code repository for the paper "Rethinking Model Prototyping through the MedMNIST+ Dataset Collection" @ Scientific Reports☆13Updated 8 months ago
- Repository associated to the UQinMIA Tutorial @ MICCAI 2023☆31Updated 2 weeks ago
- Med-NCA: Robust and Lightweight Segmentation with Neural Cellular Automata☆10Updated 2 years ago
- [MIDL 2025] Efficient Automated Interpretation of Medical Images with Large-Scale Generalizable Autoencoders☆157Updated last month
- [MICCAI'2024 (Oral, Candidate @ Best Paper Award), MedIA 2025 (Runner up @ MedIA Best Paper Award] Official implementation of the Brain L…☆111Updated 3 weeks ago
- The medical imaging meta-learning toolbox allows to build models that learn to learn in a setting with diverse tasks. It also provides co…☆44Updated last year
- The official implementation of our IPMI 2023 paper "SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image Generation"☆67Updated 2 years ago
- [IEEE-TMI'22] Causality-inspired Single-source Domain Generalization for Medical Image Segmentation (code&data-processing pipeline)☆108Updated 2 years ago
- ☆79Updated 3 years ago
- MICCAI 2024 code for the paper: EchoNet-Synthetic: Privacy-preserving Video Generation for Safe Medical Data Sharing. EchoNet-Synthetic i…☆35Updated 5 months ago
- MICCAI 2023 code for the paper: Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis. EchoDiffusion i…☆73Updated last year
- Anomaly detection with diffusion models☆136Updated 2 years ago
- Code for https://arxiv.org/abs/2305.19643☆16Updated last year
- ☆75Updated last year
- [IEEE TMI 2024] MultiEYE: Dataset and Benchmark for OCT-Enhanced Retinal Disease Recognition from Fundus Images☆35Updated 2 weeks ago
- Repository to train ControlNet on Brain data (UK BIOBANK) using MONAI Generative Models☆88Updated 2 years ago
- Publication in Nature Scientific Reports: Self-Supervised Pre-Training with Contrastive and Masked Autoencoder Methods for Dealing with S…☆21Updated 11 months ago
- [MICCAI 2024] Easy diffusion models (optionally with segmentation guidance) for medical images and beyond.☆197Updated 5 months ago
- PyTorch implementation for "WDM: 3D Wavelet Diffusion Models for High-Resolution Medical Image Synthesis" (DGM4MICCAI 2024)☆121Updated 2 months ago
- [IEEE TPAMI] Anomaly Detection in Chest X-ray☆24Updated last year
- [NeurIPS 2024] Touchstone - Benchmarking AI on 5,172 o.o.d. CT volumes and 9 anatomical structures☆127Updated 2 months ago
- A Foundation Model for Brain Lesion Segmentation☆25Updated 3 months ago
- ☆125Updated 11 months ago
- Code for "Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis" @ PAKDD 2023☆58Updated 2 years ago
- Repository for "Stochastic Segmentation with Conditional Categorical Diffusion Models" (ICCV 2023)☆49Updated 2 years ago
- ☆35Updated 2 weeks ago