Kun-Hsing Yu

According to our database, Kun-Hsing Yu authored at least 16 papers between 2013 and 2024.

Collaborative distances:

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

2024

Safety challenges of AI in medicine.

Xiaoye Wang, Nicole Xi Zhang, Hongyu He, Trang Nguyen, Kun-Hsing Yu, Hao Deng, Cynthia Brandt, Danielle S. Bitterman, Ling Pan, Ching-Yu Cheng, James Zou, Dianbo Liu

CoRR, 2024

Pass-Efficient Algorithms for Graph Spectral Clustering (Student Abstract).

Boshen Yan, Guihong Wan, Haim Schweitzer, Zoltan Maliga, Sara Khattab, Kun-Hsing Yu, Peter K. Sorger, Yevgeniy R. Semenov

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2022

Ten quick tips for deep learning in biology.

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

PLoS Comput. Biol., 2022

Construction of extra-large scale screening tools for risks of severe mental illnesses using real world healthcare data.

Dianbo Liu, Karmel W. Choi, Paulo Lizano, William Yuan, Kun-Hsing Yu, Jordan Smoller, Isaac S. Kohane

CoRR, 2022

2021

Ten Quick Tips for Deep Learning in Biology.

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

CoRR, 2021

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

Integrating deep transfer learning and radiomics features in glioblastoma multiforme patient survival prediction.

Wei Han, Lei Qin, Camden Bay, Xin Chen, Kun-Hsing Yu, Angie Li, Xiaoyin Xu, Geoffrey S. Young

Proceedings of the Medical Imaging 2020: Image Processing, 2020

Deciphering Serous Ovarian Carcinoma Histopathology and Platinum Response by Convolutional Neural Networks.

Kun-Hsing Yu, Vincent Hu, Feiran Wang, Ursula Matulonis, George Mutter, Jeffrey Golden, Isaac S. Kohane

Proceedings of the AMIA 2020, 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

Omics AnalySIs System for PRecision Oncology (OASISPRO): a web-based omics analysis tool for clinical phenotype prediction.

Kun-Hsing Yu, Michael R. Fitzpatrick, Luke Pappas, Warren Chan, Jessica Kung, Michael Snyder

Bioinform., 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

Biomedical informatics advancing the national health agenda: the AMIA 2015 year-in-review in clinical and consumer informatics.

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

J. Am. Medical Informatics Assoc., 2017

Harnessing Big Data for Precision Medicine: Infrastructures and Applications.

Kun-Hsing Yu, Steven N. Hart, Rachel L. Goldfeder, Qiangfeng Cliff Zhang, Stephen C. J. Parker, Michael Snyder

Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 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

Subtype Discovery for Autism Spectrum Disorder by Comorbidity Analysis.

Kun-Hsing Yu, Nathan P. Palmer, Isaac S. Kohane

Proceedings of the AMIA 2017, 2017

2013

Classifying Benign and Malignant Lung Diseases by Applying Machine Learning Methods to Microscopic Pathology Images.

Kun-Hsing Yu, Shanshan Tuo, Daniel L. Rubin

Proceedings of the AMIA 2013, 2013