Kun-Hsing Yu

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 14

Top Topics

Top Venues

J. Am. Medical Informatics Assoc.

Publications

Boshen Yan, Guihong Wan, Haim Schweitzer, Zoltan Maliga, Sara Khattab, Kun-Hsing Yu, Peter K. Sorger, Yevgeniy R. Semenov
Pass-Efficient Algorithms for Graph Spectral Clustering (Student Abstract). AAAI (2024)
Dianbo Liu, Karmel W. Choi, Paulo Lizano, William Yuan, Kun-Hsing Yu, Jordan Smoller, Isaac S. Kohane
Construction of extra-large scale screening tools for risks of severe mental illnesses using real world healthcare data. CoRR (2022)
Benjamin D. Lee, Anthony Gitter, Casey S. Greene, Sebastian Raschka, Finlay Maguire, Alexander J. Titus, Michael D. Kessler, Alexandra J. Lee, Marc G. Chevrette, Paul Allen Stewart, Thiago Britto-Borges, Evan M. Cofer, Kun-Hsing Yu, Juan Jose Carmona, Elana J. Fertig, Alexandr A. Kalinin, Brandon Signal, Benjamin J. Lengerich, Timothy J. Triche Jr., Simina M. Boca
Ten quick tips for deep learning in biology. PLoS Comput. Biol. 18 (3) (2022)
Benjamin D. Lee, Anthony Gitter, Casey S. Greene, Sebastian Raschka, Finlay Maguire, Alexander J. Titus, Michael D. Kessler, Alexandra J. Lee, Marc G. Chevrette, Paul Allen Stewart, Thiago Britto-Borges, Evan M. Cofer, Kun-Hsing Yu, Juan Jose Carmona, Elana J. Fertig, Alexandr A. Kalinin, Beth Signal, Benjamin J. Lengerich, Timothy J. Triche Jr., Simina M. Boca
Ten Quick Tips for Deep Learning in Biology. CoRR (2021)
Wei Han, Lei Qin, Camden Bay, Xin Chen, Kun-Hsing Yu, Angie Li, Xiaoyin Xu, Geoffrey S. Young
Integrating deep transfer learning and radiomics features in glioblastoma multiforme patient survival prediction. Medical Imaging: Image Processing (2020)
Kun-Hsing Yu, Feiran Wang, Gerald J. Berry, Christopher Ré, Russ B. Altman, Michael Snyder, Isaac S. Kohane
Classifying non-small cell lung cancer types and transcriptomic subtypes using convolutional neural networks. J. Am. Medical Informatics Assoc. 27 (5) (2020)
Kun-Hsing Yu, Vincent Hu, Feiran Wang, Ursula Matulonis, George Mutter, Jeffrey Golden, Isaac S. Kohane
Deciphering Serous Ovarian Carcinoma Histopathology and Platinum Response by Convolutional Neural Networks. AMIA (2020)
Kun-Hsing Yu, Feiran Wang, Gerald J. Berry, Christopher Ré, Russ B. Altman, Michael Snyder, Isaac S. Kohane
Classifying Non-Small Cell Lung Cancer Histopathology Types and Transcriptomic Subtypes using Convolutional Neural Networks. AMIA (2019)
Kun-Hsing Yu, Gerald J. Berry, Daniel L. Rubin, Christopher Ré, Russ B. Altman, Michael Snyder
Unraveling the Molecular Basis of Lung Adenocarcinoma Dedifferentiation and Prognosis by Integrating Omics and Histopathology. AMIA (2018)
Kun-Hsing Yu, Michael R. Fitzpatrick, Luke Pappas, Warren Chan, Jessica Kung, Michael Snyder
Omics AnalySIs System for PRecision Oncology (OASISPRO): a web-based omics analysis tool for clinical phenotype prediction. Bioinform. 34 (2) (2018)
Kirk Roberts, Mary Regina Boland, Lisiane Pruinelli, Jina J. Dcruz, Andrew B. L. Berry, Mattias Georgsson, Rebecca Hazen, Raymond Francis Sarmiento, Uba Backonja, Kun-Hsing Yu, Yun Jiang, Patricia Flatley Brennan
Biomedical informatics advancing the national health agenda: the AMIA 2015 year-in-review in clinical and consumer informatics. J. Am. Medical Informatics Assoc. 24 (e1) (2017)
Kun-Hsing Yu, Ce Zhang, Gerald J. Berry, Russ B. Altman, Christopher Ré, Daniel L. Rubin, Michael Snyder
Predicting Non-Small Cell Lung Cancer Diagnosis and Prognosis by Fully Automated Microscopic Pathology Image Features. AMIA (2017)
Kun-Hsing Yu, Steven N. Hart, Rachel L. Goldfeder, Qiangfeng Cliff Zhang, Stephen C. J. Parker, Michael Snyder
Harnessing Big Data for Precision Medicine: Infrastructures and Applications. PSB (2017)
Kun-Hsing Yu, Nathan P. Palmer, Isaac S. Kohane
Subtype Discovery for Autism Spectrum Disorder by Comorbidity Analysis. AMIA (2017)
Kun-Hsing Yu, Shanshan Tuo, Daniel L. Rubin
Classifying Benign and Malignant Lung Diseases by Applying Machine Learning Methods to Microscopic Pathology Images. AMIA (2013)