Deep Learning in Pharmacogenomics: From Gene Regulation to Patient Stratification. - Alexandr A. Kalinin; Gerald A. Higgins; Narathip Reamaroon; S. M. Reza Soroushmehr; Ari Allyn-Feuer; Ivo D. Dinov; Kayvan Najarian; Brian D. Athey (CoRR, 2018)

Detection of Acute Respiratory Distress Syndrome by Incorporation of Label Uncertainty and Partially Available Privileged Information. - Elyas Sabeti; Joshua Drews; Narathip Reamaroon; Jonathan Gryak; Michael W. Sjoding; Kayvan Najarian (EMBC, 2019)

Accounting for Label Uncertainty in Machine Learning for Detection of Acute Respiratory Distress Syndrome. - Narathip Reamaroon; Michael W. Sjoding; Kaiwen Lin; Theodore J. Iwashyna; Kayvan Najarian (IEEE J. Biomed. Health Informatics, 2019)

Robust segmentation of lung in chest x-ray: applications in analysis of acute respiratory distress syndrome. - Narathip Reamaroon; Michael W. Sjoding; Harm Derksen; Elyas Sabeti; Jonathan Gryak; Ryan P. Barbaro; Brian D. Athey; Kayvan Najarian (BMC Medical Imaging, 2020)

Automated detection of acute respiratory distress syndrome from chest X-Rays using Directionality Measure and deep learning features. - Narathip Reamaroon; Michael W. Sjoding; Jonathan Gryak; Brian D. Athey; Kayvan Najarian; Harm Derksen (Comput. Biol. Medicine, 2021)

Learning Using Partially Available Privileged Information and Label Uncertainty: Application in Detection of Acute Respiratory Distress Syndrome. - Elyas Sabeti; Joshua Drews; Narathip Reamaroon; Elisa Warner; Michael W. Sjoding; Jonathan Gryak; Kayvan Najarian (IEEE J. Biomed. Health Informatics, 2021)