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Most recent publications

M. R. Vagos, H. Arevalo, B. L. de Oliveira, J. Sundnes and M. Maleckar

A computational framework for testing arrhythmia marker sensitivities to model parameters in functionally calibrated populations of atrial cells

Chaos: An Interdisciplinary Journal of Nonlinear Science 27 (2017): 093941.
Journal Article
2017
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M. Marciniak, H. Arevalo, J. Tfelt-Hansen, K. A. Ahtarovski, T. Jespersen, R. Jabbari, C. Glinge, N. Vejlstrup, T. Engstrom, M. Maleckar et al.

A multiple kernel learning framework to investigate the relationship between ventricular fibrillation and first myocardial infarction

In International Conference on Functional Imaging and Modeling of the Heart. {Springer, Cham, 2017.
Proceedings, refereed
2017
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J. Dhamala, H. Arevalo, J. Sapp, M. Horacek, K. C. Wu, N. A. Trayanova and L. Wang

Spatially Adaptive Multi-Scale Optimization for Local Parameter Estimation in Cardiac Electrophysiology

IEEE Transactions on Medical Imaging 36, no. 9 (2017): 1966-1978.
Journal Article
2017
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M. Vagos, H. Arevalo, B. L. de Oliveira, J. Sundnes and M. Maleckar

A computational framework for testing arrhythmia marker sensitivities to model parameters in functionally calibrated populations of atrial cells

Chaos 27, no. 9 (2017).
Journal Article
2017
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Selected publications

H. Arevalo, F. Vadakkumpadan, E. Guallar, A. Jebb, P. Malamas, K. C. Wu and N. A. Trayanova

Arrhythmia risk stratification of patients after myocardial infarction using personalized heart models

Nature Communications 7 (2016).
Journal Article
2016
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A. Prakosa, H. Arevalo, D. Deng, P. M. Boyle, P. P. Nikolov, H. Ashikaga, J. J. E. Blauer, E. Ghafoori, C. J. Park, R. C. Blake et al.

Personalized virtual-heart technology for guiding the ablation of infarct-related ventricular tachycardia

Nature Biomedical Engineering 2 (2018): 732-740.
Journal Article
2018
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Background

PhD in Biomedical Engineering
Johns Hopkins University
May 2014

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