Automated, ultra‐fast laser‐drilling of nanometer scale pores and nanopore arrays in aqueous solutions T Gilboa, E Zvuloni, A Zrehen, AH Squires, A Meller Advanced Functional Materials 30 (18), 1900642, 2020 | 62 | 2020 |
On merging feature engineering and deep learning for diagnosis, risk prediction and age estimation based on the 12-lead ECG E Zvuloni, J Read, AH Ribeiro, ALP Ribeiro, JA Behar IEEE Transactions on Biomedical Engineering 70 (7), 2227-2236, 2023 | 23 | 2023 |
Fast and Deterministic Fabrication of Sub-5 Nanometer Solid-State Pores by Feedback-Controlled Laser Processing E Zvuloni, A Zrehen, T Gilboa, A Meller ACS nano 15 (7), 12189-12200, 2021 | 19 | 2021 |
RawECGNet: Deep Learning Generalization for Atrial Fibrillation Detection from the Raw ECG N Ben-Moshe, K Tsutsui, S Biton, E Zvuloni, L Sörnmo, JA Behar IEEE Journal of Biomedical and Health Informatics, 2024 | 8 | 2024 |
PhysioZoo ECG: Digital electrocardiography biomarkers to assess cardiac conduction S Gendelman, S Biton, R Derman, E Zvuloni, J Levy, S Lugassy, ... 2021 Computing in Cardiology (CinC) 48, 1-4, 2021 | 8 | 2021 |
Atrial Fibrillation Recurrence Risk Prediction from 12-lead ECG Recorded Pre-and Post-Ablation Procedure E Zvuloni, S Gendelman, S Mohanty, J Lewen, A Natale, JA Behar 2022 Computing in Cardiology (CinC) 498, 1-4, 2022 | 3 | 2022 |
PhysioZoo: The Open Digital Physiological Biomarkers Resource JA Behar, J Levy, E Zvuloni, S Gendelman, A Rosenberg, S Biton, ... 2023 Computing in Cardiology (CinC) 50, 1-4, 2023 | 2 | 2023 |
An artificial intelligence–enabled Holter algorithm to identify patients with ventricular tachycardia by analysing their electrocardiogram during sinus rhythm S Gendelman, E Zvuloni, J Oster, M Suleiman, R Derman, JA Behar European Heart Journal-Digital Health, ztae025, 2024 | 1 | 2024 |
Nanopore fabrication A Meller, T Gilboa, A ZREHEN, A GIRSAULT, E ZVULONI US Patent App. 17/482,904, 2022 | | 2022 |