Narathip Reamaroon

Publication Activity (10 Years)

Years Active: 2018-2021
Publications (10 Years): 6

Top Topics

Chest Radiographs

Privileged Information

Automated Detection

Top Venues

IEEE J. Biomed. Health Informatics

BMC Medical Imaging

Comput. Biol. Medicine

Publications

Narathip Reamaroon, Michael W. Sjoding, Jonathan Gryak, Brian D. Athey, Kayvan Najarian, Harm Derksen
Automated detection of acute respiratory distress syndrome from chest X-Rays using Directionality Measure and deep learning features. Comput. Biol. Medicine 134 (2021)
Elyas Sabeti, Joshua Drews, Narathip Reamaroon, Elisa Warner, Michael W. Sjoding, Jonathan Gryak, Kayvan Najarian
Learning Using Partially Available Privileged Information and Label Uncertainty: Application in Detection of Acute Respiratory Distress Syndrome. IEEE J. Biomed. Health Informatics 25 (3) (2021)
Narathip Reamaroon, Michael W. Sjoding, Harm Derksen, Elyas Sabeti, Jonathan Gryak, Ryan P. Barbaro, Brian D. Athey, Kayvan Najarian
Robust segmentation of lung in chest x-ray: applications in analysis of acute respiratory distress syndrome. BMC Medical Imaging 20 (1) (2020)
Elyas Sabeti, Joshua Drews, Narathip Reamaroon, Jonathan Gryak, Michael W. Sjoding, Kayvan Najarian
Detection of Acute Respiratory Distress Syndrome by Incorporation of Label Uncertainty and Partially Available Privileged Information. EMBC (2019)
Narathip Reamaroon, Michael W. Sjoding, Kaiwen Lin, Theodore J. Iwashyna, Kayvan Najarian
Accounting for Label Uncertainty in Machine Learning for Detection of Acute Respiratory Distress Syndrome. IEEE J. Biomed. Health Informatics 23 (1) (2019)
Alexandr A. Kalinin, Gerald A. Higgins, Narathip Reamaroon, S. M. Reza Soroushmehr, Ari Allyn-Feuer, Ivo D. Dinov, Kayvan Najarian, Brian D. Athey
Deep Learning in Pharmacogenomics: From Gene Regulation to Patient Stratification. CoRR (2018)