Code, documentation, and discussion around the MIMIC-CXR database

Improving Chest X-Ray Report Generation by Leveraging Warm-Starting

Repository to train Latent Diffusion Models on Chest X-ray data (MIMIC-CXR) using MONAI Generative Models

Official repository of ICML 2023 paper: Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat

Code for reproducing the experiments on large-scale pre-training and transfer learning for the paper "Effect of large-scale pre-training on full and few-shot transfer learning for natural and medical images" (https://arxiv.org/abs/2106.00116)

Official repository of MICCAI 2023 paper: Distilling BlackBox to Interpretable models for Efficient Transfer Learning

[MICCAI'24] Structural Entities Extraction and Patient Indications Incorporation for Chest X-ray Report Generation

Securing Collaborative Medical AI by Using Differential Privacy

Embeddings generation from MIMIC-IV and MIMIC-CXR

Factual Serialization Enhancement: A Key Innovation for Chest X-ray Report Generation

MCL: Multi-view Enhanced Contrastive Learning for Chest X-ray Report Generation

RadioCare: Fighting Inefficiencies in Medical Imaging

Multi-Domain Balanced Sampling Improves Out-of-Distribution Generalization of Chest X-ray Pathology Prediction Models

Chest X-ray classification

Comprehensive Analysis of Domain Transferability Using Deep-Learning-Based Interpretation of Chest Radiographs

Enhancing domain generalization in the AI-based analysis of chest radiographs with federated learning

🤖 🩻 Pytorch implementation of the ConVIRT Paper. Pioneer Image-Text Contrastive Learning approach for Radiology

Learning to Generalize towards Unseen Domains via a Content-Aware Style Invariant Framework for Disease Detection from Chest X-rays