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ORCIDNarathip Reamaroon
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2020 – today
- 2021
[j4]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: 104463 (2021)- [j3]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): 784-796 (2021) - 2020
- [j2]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): 116 (2020)
2010 – 2019
- 2019
- [j1]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): 407-415 (2019) - [c1]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: 1717-1720 - 2018
- [i1]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 abs/1801.08570 (2018)
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