Natalia A. Trayanova
Affiliations: | Biomedical Engineering | Johns Hopkins University, Baltimore, MD |
Area:
Biomedical EngineeringGoogle:
"Natalia Trayanova"Children
Sign in to add traineeDavid W Bourn | grad student | 2001-2006 | Tulane University School of Science and Engineering (E-Tree) |
Mary M. Maleckar | grad student | 2008 | Johns Hopkins |
Xiao Jie | grad student | 2009 | Johns Hopkins |
Brock M. Tice | grad student | 2009 | Johns Hopkins |
Jason D. Bayer | grad student | 2013 | Johns Hopkins |
Lukas J. Rantner | grad student | 2013 | Johns Hopkins |
Jason Costantino | grad student | 2014 | Johns Hopkins |
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Publications
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Sakata K, Bradley RP, Prakosa A, et al. (2024) Assessing the arrhythmogenic propensity of fibrotic substrate using digital twins to inform a mechanisms-based atrial fibrillation ablation strategy. Nature Cardiovascular Research. 3: 857-868 |
Trayanova NA, Lyon A, Shade J, et al. (2023) Computational modeling of cardiac electrophysiology and arrhythmogenesis. Physiological Reviews |
Sung E, Kyranakis S, Daimee UA, et al. (2023) Evaluation of a deep Learning-enabled automated computational heart modeling workflow for personalized assessment of ventricular arrhythmias. The Journal of Physiology |
Sung E, Prakosa A, Zhou S, et al. (2022) Fat infiltration in the infarcted heart as a paradigm for ventricular arrhythmias. Nature Cardiovascular Research. 1: 933-945 |
Dawkins JF, Ehdaie A, Rogers R, et al. (2022) Biological substrate modification suppresses ventricular arrhythmias in a porcine model of chronic ischaemic cardiomyopathy. European Heart Journal |
Salvador M, Regazzoni F, Pagani S, et al. (2022) The role of mechano-electric feedbacks and hemodynamic coupling in scar-related ventricular tachycardia. Computers in Biology and Medicine. 142: 105203 |
Sung E, Etoz S, Zhang Y, et al. (2021) Whole-heart ventricular arrhythmia modeling moving forward: Mechanistic insights and translational applications. Biophysics Reviews. 2 |
Sung E, Prakosa A, Trayanova NA. (2021) Analyzing the Role of Repolarization Gradients in Post-infarct Ventricular Tachycardia Dynamics Using Patient-Specific Computational Heart Models. Frontiers in Physiology. 12: 740389 |
Ochs AR, Karathanos TV, Trayanova NA, et al. (2021) Optogenetic Stimulation Using Anion Channelrhodopsin (GtACR1) Facilitates Termination of Reentrant Arrhythmias With Low Light Energy Requirements: A Computational Study. Frontiers in Physiology. 12: 718622 |
Salvador M, Fedele M, Africa PC, et al. (2021) Electromechanical modeling of human ventricles with ischemic cardiomyopathy: numerical simulations in sinus rhythm and under arrhythmia. Computers in Biology and Medicine. 136: 104674 |