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2020 – today
- 2024
[c9]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: 23690-23692- [i3]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:
Safety challenges of AI in medicine. CoRR abs/2409.18968 (2024) - 2022
- [j4]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) - [i2]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 abs/2212.10320 (2022) - 2021
- [i1]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 abs/2105.14372 (2021) - 2020
- [j3]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): 757-769 (2020) - [c8]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 - [c7]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. Image Processing 2020: 113132S
2010 – 2019
- 2019
- [c6]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 - 2018
- [j2]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): 319-320 (2018) - [c5]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 - 2017
- [j1]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): e185-e190 (2017) - [c4]Kun-Hsing Yu, Nathan P. Palmer, Isaac S. Kohane:
Subtype Discovery for Autism Spectrum Disorder by Comorbidity Analysis. AMIA 2017 - [c3]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 - [c2]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: 635-639 - 2013
- [c1]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
Coauthor Index
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