Classifying Benign and Malignant Lung Diseases by Applying Machine Learning Methods to Microscopic Pathology Images. - Kun-Hsing Yu; Shanshan Tuo; Daniel L. Rubin (AMIA, 2013)

Subtype Discovery for Autism Spectrum Disorder by Comorbidity Analysis. - Kun-Hsing Yu; Nathan P. Palmer; Isaac S. Kohane (AMIA, 2017)

Predicting Non-Small Cell Lung Cancer Diagnosis and Prognosis by Fully Automated Microscopic Pathology Image Features. - Kun-Hsing Yu; Ce Zhang 001; Gerald J. Berry; Russ B. Altman; Christopher Ré; Daniel L. Rubin; Michael Snyder 001 (AMIA, 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 001 (PSB, 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)

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 001 (AMIA, 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 001 (Bioinform., 2018)

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 001; Isaac S. Kohane (AMIA, 2019)

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 (AMIA, 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 (Image Processing, 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 001; Isaac S. Kohane (J. Am. Medical Informatics Assoc., 2020)

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; et al. (CoRR, 2021)

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)

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; et al. (PLoS Comput. Biol., 2022)

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 (AAAI, 2024)

SpatialCells: automated profiling of tumor microenvironments with spatially resolved multiplexed single-cell data. - Guihong Wan; Zoltan Maliga; Boshen Yan; Tuulia Vallius; Yingxiao Shi; Sara Khattab; Crystal Chang; Ajit Johnson Nirmal; Kun-Hsing Yu; David S. L. Wei; Christine G. Lian; Mia S. Desimone; et al. (Briefings Bioinform., 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)

Multi-View Unsupervised Column Subset Selection via Combinatorial Search (Student Abstract). - Guihong Wan; Ninghui Hao; Crystal Maung; Haim Schweitzer; Chen Zhao 010; Kun-Hsing Yu; Yevgeniy R. Semenov (AAAI, 2025)