Jin Long

According to our database, Jin Long authored at least 12 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

CheXthought: A global multimodal dataset of clinical chain-of-thought reasoning and visual attention for chest X-ray interpretation.

Sonali Sharma, Jin Long, George Shih, Sarah Eid, Christian Bluethgen, Francine L. Jacobson, Emily Bao Tsai, Global Radiology Consortium, Ahmed M. Alaa, Curtis P. Langlotz

CoRR, April, 2026

A Reasoning-Enabled Vision-Language Foundation Model for Chest X-ray Interpretation.

Yabin Zhang, Chong Wang, Yunhe Gao, Jiaming Liu, Maya Varma, Justin Xu, Sophie Ostmeier, Jin Long, Sergios Gatidis, Seena Dehkharghani, Arne Edward Michalson, Eun Kyoung Hong, Christian Bluethgen, Haiwei Henry Guo, Alexander Victor Ortiz, Stephan Altmayer, Sandhya Bodapati, Joseph David Janizek, Ken Chang, Jean-Benoit Delbrouck, Akshay S. Chaudhari, Curtis P. Langlotz

CoRR, April, 2026

A data- and compute-efficient chest X-ray foundation model beyond aggressive scaling.

Chong Wang, Yabin Zhang, Yunhe Gao, Maya Varma, Clemence Mottez, Faidra Patsatzi, Jiaming Liu, Jin Long, Jean-Benoit Delbrouck, Sergios Gatidis, Akshay S. Chaudhari, Curtis P. Langlotz

CoRR, February, 2026

2023

Conceptual framework and documentation standards of cystoscopic media content for artificial intelligence.

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

J. Biomed. Informatics, June, 2023

Critical Evaluation of Artificial Intelligence as Digital Twin of Pathologist for Prostate Cancer Pathology.

Okyaz Eminaga, Mahmoud Abbas, Christian Kunder, Yuri Tolkach, Ryan Han, James D. Brooks, Rosalie Nolley, Axel Semjonow, Martin Boegemann, Robert B. West, Jin Long, Richard E. Fan, Olaf Bettendorf

CoRR, 2023

CheXstray: A Real-Time Multi-Modal Monitoring Workflow for Medical Imaging AI.

Jameson Merkow, Arjun Soin, Jin Long, Joseph Paul Cohen, Smitha Saligrama, Christopher P. Bridge, Xiyu Yang, Stephen Kaiser, Steven Borg, Ivan Tarapov, Matthew P. Lungren

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

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

Arjun Soin, Jameson Merkow, Jin Long, Joseph Paul Cohen, Smitha Saligrama, Stephen Kaiser, Steven Borg, Ivan Tarapov, Matthew P. Lungren

CoRR, 2022

2021

Learning Domain-Agnostic Visual Representation for Computational Pathology Using Medically-Irrelevant Style Transfer Augmentation.

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

IEEE Trans. Medical Imaging, 2021

Automated coronary calcium scoring using deep learning with multicenter external validation.

David Eng, Christopher Chute, Nishith Khandwala, Pranav Rajpurkar, Jin Long, Sam Shleifer, Mohamed H. Khalaf, Alexander T. Sandhu, Fátima Rodriguez, David J. Maron, Saeed Seyyedi, Daniele Marin, Ilana Golub, Matthew J. Budoff, Felipe Kitamura, Marcelo Straus Takahashi, Ross W. Filice, Rajesh Shah, John Mongan, Kimberly Kallianos, Curtis P. Langlotz, Matthew P. Lungren, Andrew Y. Ng, Bhavik N. Patel

npj Digit. Medicine, 2021

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

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

Proceedings of the Machine Learning for Healthcare Conference, 2021

2019

Automated abnormality detection in lower extremity radiographs using deep learning.

Maya Varma, Mandy Lu, Rachel Gardner, Jared Dunnmon, Nishith Khandwala, Pranav Rajpurkar, Jin Long, Christopher Beaulieu, Katie S. Shpanskaya, Li Fei-Fei, Matthew P. Lungren, Bhavik N. Patel

Nat. Mach. Intell., 2019

2017

A Framework of Rural E-commerce in Context of Big Data in China.

Huosong Xia, Tingting He, Fang Li, Jin Long

Proceedings of the 16th Wuhan International Conference on E-Business, 2017