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

[CVPR'25] Enhanced Contrastive Learning with Multi-view Longitudinal Data for Chest X-ray Report Generation

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

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

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

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)

[MICCAI 2023, top 14%] Official repository of paper: Distilling BlackBox to Interpretable models for Efficient Transfer Learning

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

Codebase for the paper titled 'A Shared Encoder Approach to Multimodal Representation Learning'

EVOKE: Elevating Chest X-ray Report Generation via Multi-View Contrastive Learning and Patient-Specific Knowledge

Embeddings generation from MIMIC-IV and MIMIC-CXR

Securing Collaborative Medical AI by Using Differential Privacy

Use BART word embedder to do the abstractive summarization NLP task on radiology reports from MIMIC-CXR v2.0.0.

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

RadioCare: Fighting Inefficiencies in Medical Imaging

Chest X-ray classification

Pytorch Dataloader for https://mimic.mit.edu

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

Interactive visualization of Emory CXR embeddings using foundation models for subgroup analysis.

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

The role of self-supervised pretraining in differentially private medical image analysis

Research project evaluating AI-driven radiology report annotation models — IEEE ISAS 2025.