Jin Long

According to our database, Jin Long authored at least 9 papers between 2017 and 2023.

Collaborative distances:

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

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