CAMP-eXplain-AI / Style-CheXplain
GAN-based method to create counterfactual explanations for chest X-rays
☆24Updated 2 years ago
Alternatives and similar repositories for Style-CheXplain:
Users that are interested in Style-CheXplain are comparing it to the libraries listed below
- ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping☆53Updated 2 years ago
- (ICML 2023) High Fidelity Image Counterfactuals with Probabilistic Causal Models☆61Updated last month
- Official Keras & PyTorch Implementation and Pre-trained Models for TransVW☆61Updated 3 years ago
- A collection of self-supervised papers in medical imaging.☆39Updated 4 years ago
- Explanation by Progressive Exaggeration☆20Updated 2 years ago
- Gifsplanation - Explaining neural networks with gifs!☆25Updated last year
- Code for the paper https://arxiv.org/abs/2003.00827☆103Updated 3 years ago
- INSPECT dataset/benchmark paper, accepted by NeurIPS 2023☆28Updated 3 weeks ago
- This repository summarizes the material gathered for the tutorial on learning disentangled representations in the imaging domain, and ser…☆62Updated 2 years ago
- Code for Diff-SCM paper☆96Updated last year
- Repository for the Medical Out-of-Distribution Analysis Challenge.☆62Updated 9 months ago
- Reproducing CheXpert paper using the PyTorch library.☆41Updated 2 years ago
- Archive for Self-supervised learning in Medical images (A4SM).☆60Updated 2 years ago
- A Benchmark for Failure Detection under Distribution Shifts in Image Classification☆31Updated 6 months ago
- ☆22Updated 2 years ago
- Code for CheXlocalize☆36Updated last year
- [ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging☆63Updated last year
- counterfactuals for magnetic resonance images of multiple sclerosis☆27Updated 4 years ago
- Official Pytorch Implementation for y-Aware Contrastive Learning☆59Updated last year
- ☆77Updated last year
- TensorFlow implementation of Disentangled Generative Model (DGM) with MNIST dataset.☆12Updated 4 years ago
- Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".☆31Updated 4 years ago
- A large-scale collection of chest X-ray datasets.☆19Updated 2 years ago
- This is the official implementation of the method ContIG, for self-supervised learning from medical imaging with genomics☆52Updated 2 years ago
- MoCo-based unsupervised training for Chest X-Ray Interpretation☆45Updated 3 years ago
- Code for paper "AI for radiographic COVID-19 detection selects shortcuts over signal"☆29Updated 4 years ago
- A method to generate counterfactuals☆12Updated last month
- Implementation for Simulated Bias in Artificial Medical Images (SimBA) framework 🦁☆10Updated last month
- Transparent medical image AI via an image–text foundation model grounded in medical literature☆67Updated last month
- Anatomy-aware self-supervised learning☆11Updated 10 months ago