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Physiological Measurement|September 7, 2018
An SVM approach for identifying atrial fibrillationVadim Gliner, Yael YanivJMIR Mhealth and Uhealth|May 24, 2018
Novel Method to Efficiently Create an mHealth App: Implementation of a Real-Time Electrocardiogram R Peak DetectorVadim Gliner, Joachim Behar, Yael YanivScientific Reports|August 28, 2023
Using domain adaptation for classification of healthy and disease conditions from mobile-captured images of standard 12-lead electrocardiogramsVadim Gliner, Vladimir Makarov, Arutyun I Avetisyan, et al.Scientific Reports|October 2, 2020
Automatic classification of healthy and disease conditions from images or digital standard 12-lead electrocardiogramsVadim Gliner, Noam Keidar, Vladimir Makarov, et al.NPJ Digital Medicine|February 17, 2025
Clinically meaningful interpretability of an AI model for ECG classificationVadim Gliner, Idan Levy, Kenta Tsutsui, et al.Journal of Molecular and Cellular Cardiology|October 22, 2023
Computational insight into energy control balance by Ca2+ and cAMP-PKA signaling in pacemaker cellsSavyon Mazgaoker, Yael YanivAmerican Journal of Physiology. Heart and Circulatory Physiology|March 6, 2016
Dynamics of PKA phosphorylation and gain of function in cardiac pacemaker cells: a computational model analysisJoachim Behar, Yael YanivThe Journal of General Physiology|September 10, 2017
Age-related pacemaker deterioration is due to impaired intracellular and membrane mechanisms: Insights from numerical modelingJoachim Behar, Yael YanivCells|July 29, 2023
Ca2+-Driven Selectivity of the Effect of the Cardiotonic Steroid Marinobufagenin on Rabbit Sinoatrial Node FunctionSofia Segal, Yael YanivBMB Reports|May 23, 2015
The end effector of circadian heart rate variation: the sinoatrial node pacemaker cellYael Yaniv, Edward G LakattaPageof 9