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Most recent publications

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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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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2017

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