Narathip Reamaroon

Accounting for Label Uncertainty in Machine Learning for Detection of Acute Respiratory Distress Syndrome

Narathip Reamaroon, Michael W. Sjoding, Kai-Wen Lin et al. · IEEE Journal of Biomedical and Health Informatics · 2018 · 81 citations

Engineering, Machine Learning, Intelligent Diagnostics +20

Robust segmentation of lung in chest x-ray: applications in analysis of acute respiratory distress syndrome

Narathip Reamaroon, Michael W. Sjoding, Harm Derksen et al. · BMC Medical Imaging · 2020 · 48 citations · Full text

Signal quality measure for pulsatile physiological signals using morphological features: Applications in reliability measure for pulse oximetry

Elyas Sabeti, Narathip Reamaroon, Michael R. Mathis et al. · Informatics in Medicine Unlocked · 2019 · 36 citations · Full text

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 et al. · Computers in Biology and Medicine · 2021 · 28 citations · Full text

Directionality Measure, Engineering, Machine Learning +16

Learning Using Partially Available Privileged Information and Label Uncertainty: Application in Detection of Acute Respiratory Distress Syndrome

Elyas Sabeti, Joshua Drews, Narathip Reamaroon et al. · IEEE Journal of Biomedical and Health Informatics · 2020 · 21 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +21