Gerald J. Berry

According to our database, Gerald J. Berry authored at least 5 papers between 2017 and 2020.

Collaborative distances:

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

2020

Impact of a deep learning assistant on the histopathologic classification of liver cancer.

Amirhossein Kiani, Bora Uyumazturk, Pranav Rajpurkar, Alex Wang, Rebecca Gao, Erik Jones, Yifan Yu, Curtis P. Langlotz, Robyn L. Ball, Thomas J. Montine, Brock A. Martin, Gerald J. Berry, Michael G. Ozawa, Florette K. Hazard, Ryanne A. Brown, Simon B. Chen, Mona Wood, Libby S. Allard, Lourdes Ylagan, Andrew Y. Ng, Jeanne Shen

npj Digit. Medicine, 2020

Classifying non-small cell lung cancer types and transcriptomic subtypes using convolutional neural networks.

Kun-Hsing Yu, Feiran Wang, Gerald J. Berry, Christopher Ré, Russ B. Altman, Michael Snyder, Isaac S. Kohane

J. Am. Medical Informatics Assoc., 2020

2019

Classifying Non-Small Cell Lung Cancer Histopathology Types and Transcriptomic Subtypes using Convolutional Neural Networks.

Kun-Hsing Yu, Feiran Wang, Gerald J. Berry, Christopher Ré, Russ B. Altman, Michael Snyder, Isaac S. Kohane

Proceedings of the AMIA 2019, 2019

2018

Unraveling the Molecular Basis of Lung Adenocarcinoma Dedifferentiation and Prognosis by Integrating Omics and Histopathology.

Kun-Hsing Yu, Gerald J. Berry, Daniel L. Rubin, Christopher Ré, Russ B. Altman, Michael Snyder

Proceedings of the AMIA 2018, 2018

2017

Predicting Non-Small Cell Lung Cancer Diagnosis and Prognosis by Fully Automated Microscopic Pathology Image Features.

Kun-Hsing Yu, Ce Zhang, Gerald J. Berry, Russ B. Altman, Christopher Ré, Daniel L. Rubin, Michael Snyder

Proceedings of the AMIA 2017, 2017