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Most recent publications

D. Deng, P. P. Nikolov, H. Arevalo and N. A. Trayanova

Optimal contrast-enhanced MRI image thresholding for accurate prediction of ventricular tachycardia using ex-vivo high resolution models

Computers in biology and medicine 102 (2018): 426-432.
Journal Article
2018
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J. Dhamala, H. Arevalo, J. Sapp, M. B. Horácek, K. C. Wu, N. A. Trayanova and L. Wang

Quantifying the uncertainty in model parameters using Gaussian process-based Markov chain Monte Carlo in cardiac electrophysiology

Medical Image Analysis 48 (2018): 43-57.
Journal Article
2018
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M. Vagos, I. G. M. van Herck, J. Sundnes, H. Arevalo, A. G. Edwards and J. Koivumäki

Computational Modeling of Electrophysiology and Pharmacotherapy of Atrial Fibrillation: Recent Advances and Future Challenges

Frontiers in Physiology 9 (2018): 1221.
Journal Article
2018
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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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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
View

Background

PhD in Biomedical Engineering
Johns Hopkins University
May 2014

Available Master's topics

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Export 9 results:
2018

Journal articles

D. Deng, P. P. Nikolov, H. Arevalo and N. A. Trayanova

Optimal contrast-enhanced MRI image thresholding for accurate prediction of ventricular tachycardia using ex-vivo high resolution models

Computers in biology and medicine 102 (2018): 426-432.
Status: Published
J. Dhamala, H. Arevalo, J. Sapp, M. B. Horácek, K. C. Wu, N. A. Trayanova and L. Wang

Quantifying the uncertainty in model parameters using Gaussian process-based Markov chain Monte Carlo in cardiac electrophysiology

Medical Image Analysis 48 (2018): 43-57.
Status: Published
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.
Status: Published
M. Vagos, I. G. M. van Herck, J. Sundnes, H. Arevalo, A. G. Edwards and J. Koivumäki

Computational Modeling of Electrophysiology and Pharmacotherapy of Atrial Fibrillation: Recent Advances and Future Challenges

Frontiers in Physiology 9 (2018): 1221.
Status: Published

Posters

J. Langguth, H. Arevalo, C. Jarvis and X. Cai

Towards Detailed Organ-Scale Simulations in Cardiac Electrophysiology

International Symposium on Computational Science at Scale (CoSaS), Erlangen, Germany, 2018.
Status: Published
M. Vagos, J. Heijman, H. Arevalo, M. Maleckar, B. L. de Oliveira, U. Schotten and J. Sundnes

A Novel Computational Model of the Rabbit Atrial Myocyte Offers Insight into Calcium Wave Propagation Failure

In Biophysical Journal. Cambridge, USA, 2018.
Status: Published
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

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