Mining Twitter as a First Step toward Assessing the Adequacy of Gender Identification Terms on Intake Forms. - Amanda Hicks; William R. Hogan; Michael W. Rutherford; Bradley A. Malin; Mengjun Xie; Christiane Fellbaum; Zhijun Yin; Daniel Fabbri; Josh Hanna; Jiang Bian 001 (AMIA, 2015)

An Analysis of WordNet's Coverage of Gender Identity Using Twitter and The National Transgender Discrimination Survey. - Amanda Hicks; Michael W. Rutherford; Christiane Fellbaum; Jiang Bian 001 (GWC, 2016)

Evaluating the Coverage of the HL7® FHIR® Standard to Support eSource Data Exchange Implementations for use in Multi-Site Clinical Research Studies. - Maryam Y. Garza; Michael W. Rutherford; Sahiti Myneni; Susan H. Fenton; Anita Walden; Umit Topaloglu; Eric L. Eisenstein; Karan R. Kumar; Kanecia Zimmerman; Mitra Rocca; Scott Gordon; Sam Hume; et al. (AMIA, 2020)

TarPan: an easily adaptable targeted sequencing panel viewer for research and clinical use. - Cody Ashby; Michael W. Rutherford; Michael A. Bauer 002; Erich A. Peterson; Yan Wang; Eileen M. Boyle; Christopher Paul Wardell; Brian A. Walker (BMC Bioinform., 2020)

Evaluating Site-Level Implementations of the HL7 FHIR Standard to Support eSource Data Exchange in Clinical Research. - Maryam Y. Garza; Michael W. Rutherford; Bhargav Adagarla; Eric L. Eisenstein; Karan R. Kumar; Kanecia O. Zimmerman; Umit Topaloglu; Meredith N. Zozus (MIE, 2021)

Reddit Caregiver Support Forums: NLP and Visualization for Digestion of Complex Themes. - Catherine C. Shoults; Michael W. Rutherford; Aaron S. Kemp; Merideth Addicott; Aliza Brown; Carolyn Greene; Corey J. Hayes; Jennifer Gan; Linda Larson-Prior; Jonathan P. Bona (AMIA, 2022)

medigan: A Python Library of Pretrained Generative Models for Enriched Data Access in Medical Imaging. - Richard Osuala; Grzegorz Skorupko; Noussair Lazrak; Lidia Garrucho; Eloy García 001; Smriti Joshi; Socayna Jouide; Michael W. Rutherford; Fred W. Prior; Kaisar Kushibar; Oliver Díaz; Karim Lekadir (CoRR, 2022)

Medical Image De-Identification Benchmark Challenge. - Linmin Pei; Sutton Granger; Michael W. Rutherford; Ulrike Wagner; Tracy S. Nolan; Kirk E. Smith; Phillip Farmer; Peter Gu; Ambar Rana; Kailing Chen; Thomas Ferleman; Brian Park; et al. (CoRR, 2025)