ReXamine-Global: A Framework for Uncovering Inconsistencies in Radiology Report Generation Metrics

Banerjee O, Saenz A, Wu K, Clements W, Zia A, Buensalido D, Kavnoudias H, Abi-Ghanem AS, El Ghawi N, Luna C, Castillo P, Al-Surimi K, Daghistani RA, Chen YM, Chao H, Heiliger L, Kim M, Haubold J, Jonske F, Rajpurkar P. ReXamine-Global: A Framework for Uncovering Inconsistencies in Radiology Report Generation Metrics. arXiv. 2024. doi: 10.48550/arXiv.2408.16208

ReXVQA

Pal A, Lee JO, Zhang X, Sankarasubbu M, Roh S, Kim WJ, Lee M, Rajpurkar P. ReXVQA dataset. Hugging Face. 2025.

ReXGradient-160K: A Large-Scale Publicly Available Dataset of Chest Radiographs with Free-text Reports

Hawthorne O, Ma J, Zhang X, Chen L, Rajpurkar P. ReXGradient-160K: A Large-Scale Publicly Available Dataset of Chest Radiographs with Free-text Reports. Hugging Face. 2025.

ReXGradient-160K: A Large-Scale Publicly Available Dataset of Chest Radiographs with Free-text Reports

Zhang X, Acosta JN, Miller J, Huang O, Rajpurkar P. ReXGradient-160K: A Large-Scale Publicly Available Dataset of Chest Radiographs with Free-text Reports. arXiv. 2025.

ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding

Pal A, Lee JO, Zhang X, Sankarasubbu M, Roh S, Kim WJ, Lee M, Rajpurkar P. ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding. arXiv. 2025.