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Sungtae An

Showing results (1-10 of 11) with videos related to

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IEEE Transactions on Bio-Medical Engineering|November 2, 2021
Quantifying Asymmetry Between Medial and Lateral Compartment Knee Loading Forces Using Acoustic EmissionsHyeon Ki Jeong, Sungtae An, Kinsey Herrin, et al.
Journal of the American Medical Informatics Association : JAMIA|April 13, 2023
Synthetic seismocardiogram generation using a transformer-based neural networkMohammad Nikbakht, Asim H Gazi, Jonathan Zia, et al.
IEEE Journal of Biomedical and Health Informatics|March 24, 2021
Unifying the Estimation of Blood Volume Decompensation Status in a Porcine Model of Relative and Absolute Hypovolemia Via Wearable SensingJacob P Kimball, Jonathan S Zia, Sungtae An, et al.
Epilepsy & Behavior : E&B|November 10, 2018
Predicting drug-resistant epilepsy - A machine learning approach based on administrative claims dataSungtae An, Kunal Malhotra, Cynthia Dilley, et al.
IEEE Transactions on Bio-Medical Engineering|June 16, 2025
Modeling Latent Dynamics of the Autonomic Nervous System in Response to Trauma Recall and Non-Invasive Vagus Nerve StimulationAsim H Gazi, Sungtae An, Jesus Antonio Sanchez-Perez, et al.
Journal of the American Heart Association|September 14, 2022
Wearable Seismocardiography-Based Assessment of Stroke Volume in Congenital Heart DiseaseVenu G Ganti, Asim H Gazi, Sungtae An, et al.
IEEE Journal of Biomedical and Health Informatics|October 9, 2023
Early Prediction of Impending Exertional Heat Stroke With Wearable Multimodal Sensing and Anomaly DetectionCem O Yaldiz, Mark J Buller, Kristine L Richardson, et al.
Annals of Neurology|July 7, 2021
Automated Annotation of Epileptiform Burden and Its Association with OutcomesSahar F Zafar, Eric S Rosenthal, Jin Jing, et al.
Journal of Neuroscience Methods|November 2, 2020
Deep active learning for Interictal Ictal Injury Continuum EEG patternsWendong Ge, Jin Jing, Sungtae An, et al.
Neurology|March 6, 2023
Development of Expert-Level Classification of Seizures and Rhythmic and Periodic Patterns During EEG InterpretationJin Jing, Wendong Ge, Shenda Hong, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Bio-Medical Engineering|November 2, 2021
Quantifying Asymmetry Between Medial and Lateral Compartment Knee Loading Forces Using Acoustic EmissionsHyeon Ki Jeong, Sungtae An, Kinsey Herrin, et al.
Journal of the American Medical Informatics Association : JAMIA|April 13, 2023
Synthetic seismocardiogram generation using a transformer-based neural networkMohammad Nikbakht, Asim H Gazi, Jonathan Zia, et al.
IEEE Journal of Biomedical and Health Informatics|March 24, 2021
Unifying the Estimation of Blood Volume Decompensation Status in a Porcine Model of Relative and Absolute Hypovolemia Via Wearable SensingJacob P Kimball, Jonathan S Zia, Sungtae An, et al.
Epilepsy & Behavior : E&B|November 10, 2018
Predicting drug-resistant epilepsy - A machine learning approach based on administrative claims dataSungtae An, Kunal Malhotra, Cynthia Dilley, et al.
IEEE Transactions on Bio-Medical Engineering|June 16, 2025
Modeling Latent Dynamics of the Autonomic Nervous System in Response to Trauma Recall and Non-Invasive Vagus Nerve StimulationAsim H Gazi, Sungtae An, Jesus Antonio Sanchez-Perez, et al.
Journal of the American Heart Association|September 14, 2022
Wearable Seismocardiography-Based Assessment of Stroke Volume in Congenital Heart DiseaseVenu G Ganti, Asim H Gazi, Sungtae An, et al.
IEEE Journal of Biomedical and Health Informatics|October 9, 2023
Early Prediction of Impending Exertional Heat Stroke With Wearable Multimodal Sensing and Anomaly DetectionCem O Yaldiz, Mark J Buller, Kristine L Richardson, et al.
Annals of Neurology|July 7, 2021
Automated Annotation of Epileptiform Burden and Its Association with OutcomesSahar F Zafar, Eric S Rosenthal, Jin Jing, et al.
Journal of Neuroscience Methods|November 2, 2020
Deep active learning for Interictal Ictal Injury Continuum EEG patternsWendong Ge, Jin Jing, Sungtae An, et al.
Neurology|March 6, 2023
Development of Expert-Level Classification of Seizures and Rhythmic and Periodic Patterns During EEG InterpretationJin Jing, Wendong Ge, Shenda Hong, et al.
Pageof 2