| Electromechanical modeling of human ventricles with ischemic cardiomyopathy: numerical simulations in sinus rhythm and under arrhythmia M Salvador, M Fedele, PC Africa, E Sung, A Prakosa, J Chrispin, ... Computers in Biology and Medicine 136, 104674, 2021 | 46 | 2021 |
| Personalized digital-heart technology for ventricular tachycardia ablation targeting in hearts with infiltrating adiposity E Sung, A Prakosa, KN Aronis, S Zhou, SL Zimmerman, H Tandri, ... Circulation: Arrhythmia and Electrophysiology 13 (12), e008912, 2020 | 41 | 2020 |
| Fat infiltration in the infarcted heart as a paradigm for ventricular arrhythmias E Sung, A Prakosa, S Zhou, RD Berger, J Chrispin, S Nazarian, ... Nature cardiovascular research 1 (10), 933-945, 2022 | 40 | 2022 |
| Whole-heart ventricular arrhythmia modeling moving forward: Mechanistic insights and translational applications E Sung, S Etoz, Y Zhang, NA Trayanova Biophysics reviews 2 (3), 2021 | 26 | 2021 |
| Predicting ventricular tachycardia circuits in patients with arrhythmogenic right ventricular cardiomyopathy using genotype-specific heart digital twins Y Zhang, K Zhang, A Prakosa, C James, SL Zimmerman, R Carrick, ... Elife 12, RP88865, 2023 | 20 | 2023 |
| Assessment of arrhythmia mechanism and burden of the infarcted ventricles following remuscularization with pluripotent stem cell-derived cardiomyocyte patches using patient … JK Yu, JA Liang, WH Franceschi, Q Huang, F Pashakhanloo, E Sung, ... Cardiovascular research 118 (5), 1247-1261, 2022 | 18 | 2022 |
| ’, A. Prakosa, J. Chrispin, N. Trayanova, A. Quarteroni, Electromechanical modeling of human ventricles with ischemic cardiomyopathy: numerical simulations in sinus rhythm and … M Salvador, M Fedele, PC Africa, E Sung, L Dede Comput. Biol. Med 136, 104674, 2021 | 12 | 2021 |
| Wavefront directionality and decremental stimuli synergistically improve identification of ventricular tachycardia substrate: insights from personalized computational heart models E Sung, A Prakosa, S Kyranakis, RD Berger, J Chrispin, NA Trayanova Europace 25 (1), 223-235, 2023 | 11 | 2023 |
| Computational signatures for post-cardiac arrest trajectory prediction: Importance of early physiological time series HB Kim, HT Nguyen, Q Jin, S Tamby, TG Romer, E Sung, R Liu, ... Anaesthesia Critical Care & Pain Medicine 41 (1), 101015, 2022 | 11 | 2022 |
| Analyzing the Role of Repolarization Gradients in Post-infarct Ventricular Tachycardia Dynamics Using Patient-Specific Computational Heart Models E Sung, A Prakosa, NA Trayanova Frontiers in Physiology, 1655, 2021 | 10 | 2021 |
| Feasibility study shows concordance between image‐based virtual‐heart ablation targets and predicted ECG‐based arrhythmia exit‐sites S Zhou, E Sung, A Prakosa, KN Aronis, J Chrispin, H Tandri, ... Pacing and Clinical Electrophysiology 44 (3), 432-441, 2021 | 10 | 2021 |
| Assessment of an ECG‐based system for localizing ventricular arrhythmias in patients with structural heart disease S Zhou, A AbdelWahab, JL Sapp, E Sung, KN Aronis, JW Warren, ... Journal of the American Heart Association 10 (20), e022217, 2021 | 9 | 2021 |
| Association of epicardial and intramyocardial fat with ventricular arrhythmias MM Sani, E Sung, M Engels, UA Daimee, N Trayanova, KC Wu, ... Heart Rhythm 20 (12), 1699-1705, 2023 | 8 | 2023 |
| Advanced imaging for risk stratification for ventricular arrhythmias and sudden cardiac death E Xie, E Sung, E Saad, N Trayanova, KC Wu, J Chrispin Frontiers in Cardiovascular Medicine 9, 884767, 2022 | 8 | 2022 |
| Real-time prediction of mortality, cardiac arrest, and thromboembolic complications in hospitalized patients with COVID-19 JK Shade, AN Doshi, E Sung, DM Popescu, AS Minhas, NA Gilotra, ... JACC: Advances 1 (2), 100043, 2022 | 7 | 2022 |
| Association of left ventricular tissue heterogeneity and intramyocardial fat on computed tomography with ventricular arrhythmias in ischemic cardiomyopathy UA Daimee, E Sung, M Engels, MK Halushka, RD Berger, NA Trayanova, ... Heart Rhythm O2 3 (3), 241-247, 2022 | 7 | 2022 |
| Identification of high-risk imaging features in hypertrophic cardiomyopathy using electrocardiography: A deep-learning approach RT Carrick, H Ahamed, E Sung, MS Maron, C Madias, V Avula, R Studley, ... Heart Rhythm, 2024 | 6 | 2024 |
| Prospective multicenter assessment of a new intraprocedural automated system for localizing idiopathic ventricular arrhythmia origins S Zhou, A AbdelWahab, JL Sapp, E Sung, KN Aronis, JW Warren, ... Clinical Electrophysiology 7 (3), 395-407, 2021 | 6 | 2021 |
| A Physiology-Driven Computational Model for Post-Cardiac Arrest Outcome Prediction HB Kim, H Nguyen, Q Jin, S Tamby, TG Romer, E Sung, R Liu, ... arXiv preprint arXiv:2002.03309, 2020 | 5 | 2020 |
| Evaluation of a deep learning‐enabled automated computational heart modelling workflow for personalized assessment of ventricular arrhythmias E Sung, S Kyranakis, UA Daimee, M Engels, A Prakosa, S Zhou, ... The Journal of Physiology 602 (18), 4625-4644, 2024 | 4 | 2024 |
Natalia TrayanovaJohns Hopkins UniversityE-mail megerősítve itt: jhu.edu