MIMIC-CXR

The 'MIMIC-CXR' dataset is a large collection of chest X-ray images and associated clinical data used to evaluate artificial intelligence models for CXR interpretation and reasoning.

Papers using MIMIC-CXR (15)

Non-Contrastive Vision-Language Learning with Predictive Embedding Alignment2026Multimodal Large Language Models For Medical Report Generation Via Customized Prompt Tuning2025 · 1 citesMrgagents: A Multi-agent Framework For Improved Medical Report Generation With Med-lvlms2025 · 1 citesA Reasoning-Enabled Vision-Language Foundation Model for Chest X-ray Interpretation2026Grounded Multimodal Retrieval-Augmented Drafting of Radiology Impressions Using Case-Based Similarity Search2026Less Is More? Selective Visual Attention to High-Importance Regions for Multimodal Radiology Summarization2026MedMO: Grounding and Understanding Multimodal Large Language Model for Medical Images2026MedProbCLIP: Probabilistic Adaptation of Vision-Language Foundation Model for Reliable Radiograph-Report Retrieval2026Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays2025On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI2025Teaching AI Stepwise Diagnostic Reasoning With Report-guided Chain-of-thought Learning2025Process Reward Models For Sentence-level Verification Of LVLM Radiology Reports2025RA-RRG: Multimodal Retrieval-Augmented Radiology Report Generation with Key Phrase Extraction2025Reducing Hallucinations of Medical Multimodal Large Language Models with Visual Retrieval-Augmented Generation2025An X-Ray Is Worth 15 Features: Sparse Autoencoders for Interpretable Radiology Report Generation2024 · 2 cites