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Most recent publications

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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M. Marciniak, H. Arevalo, J. Tfelt-Hansen, T. Jespersen, R. Jabbari, C. Glinge, K. A. Ahtarovski, N. Vejlstrup, M. Maleckar and K. S. Mcleod

From MR image to patient-specific simulation and population-based analysis:Tutorial for an openly available image-processing pipeline

In MICCAI Workshop on Statistical Atlases and Cardiac Models of the Heart. Berlin: Springer, 2016.
Proceedings, refereed
2016
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H. Arevalo, P. M. Boyle and N. A. Trayanova

Computational rabbit models to investigate the initiation, perpetuation, and termination of ventricular arrhythmia

Progress in Biophysics and Molecular Biology 121, no. 2 (2016): 185-194.
Journal Article
2016
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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 5 results:
2017

Journal articles

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
2016

Journal articles

H. Arevalo, P. M. Boyle and N. A. Trayanova

Computational rabbit models to investigate the initiation, perpetuation, and termination of ventricular arrhythmia

Progress in Biophysics and Molecular Biology 121, no. 2 (2016): 185-194.
Status: Published

Proceedings, refereed

M. Marciniak, H. Arevalo, J. Tfelt-Hansen, T. Jespersen, R. Jabbari, C. Glinge, K. A. Ahtarovski, N. Vejlstrup, M. Maleckar and K. S. Mcleod

From MR image to patient-specific simulation and population-based analysis:Tutorial for an openly available image-processing pipeline

In MICCAI Workshop on Statistical Atlases and Cardiac Models of the Heart. Berlin: Springer, 2016.
Status: Published