Racial Representation Analysis in Dermatology Academic Materials. - Girmaw Abebe Tadesse; Celia Cintas; Roxana Daneshjou; Kush R. Varshney; Peter W. J. Staar; Skyler Speakman; Kenya S. Andrews; Chinyere Agunwa; Justin Jia; Elizabeth E. Bailey; Jules Lipoff; Ginikanwa Onyekaba; et al. (AMIA, 2021)

Disparities in Dermatology AI: Assessments Using Diverse Clinical Images. - Roxana Daneshjou; Kailas Vodrahalli; Weixin Liang; Roberto A. Novoa; Melissa Jenkins; Veronica Rotemberg; Justin Ko; Susan M. Swetter; Elizabeth E. Bailey; Olivier Gevaert; Pritam Mukherjee; Michelle Phung; et al. (CoRR, 2021)

Disparities in Dermatology AI Performance on a Diverse, Curated Clinical Image Set. - Roxana Daneshjou; Kailas Vodrahalli; Roberto A. Novoa; Melissa Jenkins; Weixin Liang; Veronica Rotemberg; Justin Ko; Susan M. Swetter; Elizabeth E. Bailey; Olivier Gevaert; Pritam Mukherjee; Michelle Phung; et al. (CoRR, 2022)

Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning. - Girmaw Abebe Tadesse; Celia Cintas; Kush R. Varshney; Peter W. J. Staar; Chinyere Agunwa; Skyler Speakman; Justin Jia; Elizabeth E. Bailey; Ademide Adelekun; Jules Lipoff; Ginikanwa Onyekaba; Jenna C. Lester; et al. (npj Digit. Medicine, 2023)