Important: The generated images are for research and educational purposes only and cannot replace real chest x-rays for medical diagnosis.
By using RoentGen you confirm that you are credentialed and allowed to use MIMIC-CXR, and will only share access to the model with people that are also credentialed for MIMIC-CXR.
Relevant data use agreement: https://physionet.org/content/mimic-cxr/view-dua/2.0.0/
Preprint: https://arxiv.org/abs/2211.12737
Project Website: https://stanfordmimi.github.io/RoentGen/
Citation
@misc{chambon2022roentgen,
doi = {10.48550/ARXIV.2211.12737},
url = {https://arxiv.org/abs/2211.12737},
author = {Chambon, Pierre and Bluethgen, Christian and Delbrouck, Jean-Benoit and Van der Sluijs, Rogier and Polacin, Malgorzata and Chaves, Juan Manuel Zambrano and Abraham, Tanishq Mathew and Purohit, Shivanshu and Langlotz, Curtis P. and Chaudhari, Akshay},
keywords = {Computer Vision and Pattern Recognition (cs.CV), Artificial Intelligence (cs.AI), Computation and Language (cs.CL), Machine Learning (cs.LG), FOS: Computer and information sciences, FOS: Computer and information sciences},
title = {RoentGen: Vision-Language Foundation Model for Chest X-ray Generation},
publisher = {arXiv},
year = {2022},
archivePrefix={arXiv},
primaryClass={cs.CV},
copyright = {arXiv.org perpetual, non-exclusive license}
}
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