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Jin Long
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Conceptual Framework and Documentation Standards of Cystoscopic Media Content for Artificial Intelligence


Jan 18, 2023
Okyaz Eminaga, Timothy Jiyong Lee, Jessie Ge, Eugene Shkolyar, Mark Laurie, Jin Long, Lukas Graham Hockman, Joseph C. Liao

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* Under Reveiw 
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CheXstray: Real-time Multi-Modal Data Concordance for Drift Detection in Medical Imaging AI


Feb 06, 2022
Arjun Soin, Jameson Merkow, Jin Long, Joesph Paul Cohen, Smitha Saligrama, Stephen Kaiser, Steven Borg, Ivan Tarapov, Matthew P Lungren

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CheXbreak: Misclassification Identification for Deep Learning Models Interpreting Chest X-rays


Mar 24, 2021
Emma Chen, Andy Kim, Rayan Krishnan, Jin Long, Andrew Y. Ng, Pranav Rajpurkar

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* Accepted to ACM Conference on Health, Inference, and Learning (ACM-CHIL) Workshop 2021 
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Learning domain-agnostic visual representation for computational pathology using medically-irrelevant style transfer augmentation


Feb 02, 2021
Rikiya Yamashita, Jin Long, Snikitha Banda, Jeanne Shen, Daniel L. Rubin

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