Quantifying Tobacco Exposure Using Clinical Notes and Natural Language Processing to Enable Lung Cancer Screening. - Travis Osterman; Wei-Qi Wei; Joshua C. Denny (AMIA, 2015)

Lung cancer detection using co-learning from chest CT images and clinical demographics. - Jiachen Wang; Riqiang Gao; Yuankai Huo; Shunxing Bao; Yunxi Xiong; Sanja L. Antic; Travis J. Osterman; Pierre P. Massion; Bennett A. Landman (Image Processing, 2019)

The Personalization of Evidence: Using Intelligent Datasets to Inform the Process. - Taneya Y. Koonce; Dario A. Giuse; Mallory N. Blasingame; Jing Su 008; Annette M. Williams; Patricia L. Biggerstaff; Travis J. Osterman; Nunzia B. Giuse (AMIA, 2020)

A retrospective approach to evaluating potential adverse outcomes associated with delay of procedures for cardiovascular and cancer-related diagnoses in the context of COVID-19. - Neil S. Zheng; Jeremy L. Warner; Travis J. Osterman; Quinn Stanton Wells; Xiao-Ou Shu; Stephen A. Deppen; Seth J. Karp; Shon Dwyer; QiPing Feng; Nancy J. Cox; Josh F. Peterson; C. Michael Stein; et al. (J. Biomed. Informatics, 2021)

Improving Biomedical Informatics Graduate Student Recruitment through a Structured Undergraduate Summer Internship Team-Based Experience. - Shun Ahmed; Yanwei Li; Jiayi Wu; Xiaohan Liu; Yuxin Huang; Travis Osterman (AMIA, 2022)

A Unified Approach to Clinical Informatics Education for Undergraduate and Graduate Medical Education. - Dara Eckerle Mize; Travis Osterman (AMIA, 2022)

mCODE® (Minimal Common Oncology Data Elements): a 3-year Update. - Travis Osterman; Teja Ganta; Sutin Chen; Samuel L. Volchenboum (AMIA, 2022)

Next-generation phenotyping: introducing phecodeX for enhanced discovery research in medical phenomics. - Megan M. Shuey; William W. Stead; Ida Aka; April L. Barnado; Lisa Bastarache; Elly Brokamp; Meredith Campbell; Robert J. Carroll; Jeffrey A. Goldstein; Adam Lewis; Beth A. Malow; Jonathan D. Mosley; et al. (Bioinform., 2023)