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Most recent publications

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
View
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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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 Functional Imaging and Modelling of the Heart. Springer, 2017.
Proceedings, refereed
2017
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A. Prakosa, P. Malamas, S. Zhang, F. Pashakhanloo, H. Arevalo, D. Herzka, A. Lardo, H. Halperin, E. McVeigh and N. A. Trayanova

Methodology for image-based reconstruction of ventricular geometry for patient-specific modeling of cardiac electrophysiology

Progress in Biophysics and Molecular Biology 115 (2014): 226-34.
Journal Article
2014
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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

Available Master's topics

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Export 6 results:
2017

Journal articles

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.
Status: Published
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).
Status: Published

Proceedings, refereed

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 Functional Imaging and Modelling of the Heart. Springer, 2017.
Status: Published

Posters

M. Vagos, H. Arevalo, F. Sacco and M. Maleckar

A data-driven framework uncovers arrhythmogenic mechanisms in a 'functionally calibrated' population of models

Biophysical Society 61st Annual Meeting, New Orleans, Louisiana, USA, 2017.
Status: Published
2014

Journal articles

P. M. Boyle, C. J. Park, H. Arevalo, E. J. Vigmond and N. A. Trayanova

Sodium current reduction unmasks a structure-dependent substrate for arrhythmogenesis in the normal ventricles

PLOS ONE (2014).
Status: Published
A. Prakosa, P. Malamas, S. Zhang, F. Pashakhanloo, H. Arevalo, D. Herzka, A. Lardo, H. Halperin, E. McVeigh and N. A. Trayanova

Methodology for image-based reconstruction of ventricular geometry for patient-specific modeling of cardiac electrophysiology

Progress in Biophysics and Molecular Biology 115 (2014): 226-34.
Status: Published