suinleelab / cxr_covid
Code for paper "AI for radiographic COVID-19 detection selects shortcuts over signal"
☆29Updated 3 years ago
Alternatives and similar repositories for cxr_covid:
Users that are interested in cxr_covid are comparing it to the libraries listed below
- Reproducing CheXpert paper using the PyTorch library.☆38Updated last year
- Code for the paper https://arxiv.org/abs/2003.00827☆99Updated 3 years ago
- Gifsplanation - Explaining neural networks with gifs!☆24Updated last year
- ☆17Updated 4 years ago
- [NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images☆71Updated last year
- Official repository for 'Algorithmic encoding of protected characteristics in chest X-ray disease detection models'☆24Updated 2 years ago
- [ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging☆60Updated last year
- Repository for the Medical Out-of-Distribution Analysis Challenge.☆61Updated 6 months ago
- This repository contains the code for implementing Bidirectional Relevance scores for Digital Histopathology, which was used for the resu…☆16Updated last year
- A collection of self-supervised papers in medical imaging.☆39Updated 3 years ago
- Curriculum learning for improved femur fracture classification: scheduling data with prior knowledge and uncertainty. Medical Image Analy…☆18Updated 3 years ago
- Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation☆53Updated last year
- Code and models for our paper "Risk-Aware Machine Learning Classifier for Skin Lesion Diagnosis"☆10Updated 6 months ago
- This is the official Pytorch implementation of "Lung Segmentation from Chest X-rays using Variational Data Imputation", Raghavendra Selva…☆44Updated 2 years ago
- GAN-based method to create counterfactual explanations for chest X-rays☆23Updated 2 years ago
- A manually annotated test set for DeepLesion with 3D lesion boxes☆24Updated 4 years ago
- ☆14Updated 2 years ago
- Official PyTorch Implementation and Pre-trained Models for Benchmarking Transfer Learning for Medical Image Analysis☆50Updated last year
- CheXpert competition models -- attention augmented convolutions on DenseNet, ResNet; EfficientNet☆53Updated 4 years ago
- [MICCAI2019 & TMI2020] Overfitting under Class Imbalance: Anaylsis and Improvements for Medical Image Segmentation.☆21Updated last year
- Official implementation of the paper "Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classific…☆23Updated 2 years ago
- Stochastic Segmentation Networks☆66Updated 4 years ago
- Material of the MICCAI 2020 tutorial on weakly supervised learning for semantic segmentation. The updated tutorial (2021 and onwards) is …☆17Updated 4 years ago
- Transparent medical image AI via an image–text foundation model grounded in medical literature☆60Updated 2 months ago
- Gcam is an easy to use Pytorch library that makes model predictions more interpretable for humans. It allows the generation of attention…☆49Updated 4 years ago
- Implementation of PyTorch-based multi-task pre-trained models☆33Updated 4 years ago
- Code for the paper "Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed", TMLR 2022, Bernhardt et…☆20Updated 2 years ago
- ☆36Updated 2 years ago
- MoCo-based unsupervised training for Chest X-Ray Interpretation☆42Updated 3 years ago
- Code for paper: "Region Proposals for Saliency Map Refinement for Weakly-supervised Disease Localisation and Classification"☆14Updated 3 years ago