Meeting the unmet needs of clinicians from AI systems showcased for cardiology with deep-learning–based ECG analysis Y Elul, AA Rosenberg, A Schuster, AM Bronstein, Y Yaniv Proceedings of the National Academy of Sciences 118 (24), e2020620118, 2021 | 41 | 2021 |
Visualizing and quantifying irregular heart rate irregularities to identify atrial fibrillation events N Keidar, Y Elul, A Schuster, Y Yaniv Frontiers in physiology 12, 637680, 2021 | 18 | 2021 |
Data-driven modeling of interrelated dynamical systems Y Elul, E Rozenberg, A Boyarski, Y Yaniv, A Schuster, AM Bronstein Communications Physics 7 (1), 141, 2024 | | 2024 |
Applied Artificial Intelligence for Medicine-A Deep Learning Framework for Diagnosis of Cardiac Arrhythmia Y Elul, A Bronstein, Y Yaniv, A Schuster Computer Science Department, Technion, 2020 | | 2020 |
PhysioZoo: Open source software for heart rate variability analysis of mammal electrophysiological data J Behar, A Rosenberg, A Alexandrovich, Y Elul, O Shemlas, Y Yaniv JOURNAL OF MOLECULAR AND CELLULAR CARDIOLOGY 109, 13-13, 2017 | | 2017 |