Time Aggregation and Model Interpretation for Deep Multivariate Longitudinal Patient Outcome Forecasting Systems in Chronic Ambulatory Care. - Beau Norgeot; Dmytro Lituiev; Benjamin S. Glicksberg; Atul J. Butte (CoRR, 2018)

Automatic Labeling of Special Diagnostic Mammography Views from Images and DICOM Headers. - Dmytro S. Lituiev; Hari Trivedi; Maryam Panahiazar; Beau Norgeot; Youngho Seo; Benjamin L. Franc; Roy Harnish; Michael Kawczynski; Dexter Hadley (J. Digit. Imaging, 2019)

Deep Learning in Personalized Medicine: Applications in Patient Similarity, prognosis, and Optimal treatment Selection. - Beau Norgeot (2019)

Protected Health Information filter (Philter): accurately and securely de-identifying free-text clinical notes. - Beau Norgeot; Kathleen Muenzen; Thomas A. Peterson; Xuancheng Fan; Benjamin S. Glicksberg; Gundolf Schenk; Eugenia Rutenberg; Boris Oskotsky; Marina Sirota; Jinoos Yazdany; Gabriela Schmajuk; Dana Ludwig; et al. (npj Digit. Medicine, 2020)

Generating high-fidelity privacy-conscious synthetic patient data for causal effect estimation with multiple treatments. - Jingpu Shi; Dong Wang; Gino Tesei; Beau Norgeot (Frontiers Artif. Intell., 2022)

Learning end-to-end patient representations through self-supervised covariate balancing for causal treatment effect estimation. - Gino Tesei; Stefanos Giampanis; Jingpu Shi; Beau Norgeot (J. Biomed. Informatics, 2023)