CheXmix is a unified early-fusion generative model trained on a large corpus of chest X-rays paired with radiology reports.
More details coming soon.
If you find this repository useful for your work, please cite the cite the paper:
@article{kumar2026chexmix,
author = {Kumar, Ashwin and Holland, Robbie and Barrett, Corey and Kim, Jangwon and Varma, Maya and Chen, Zhihong and Gao, Yunhe and Zaharchuk, Greg and Taghavi, Tara and Kenthapadi, Krishnaram and Chaudhari, Akshay},
title = {CheXmix: Unified Generative Pretraining for Vision Language Models in Medical Imaging},
journal = {CVPR Findings},
year = {2026},
}