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Most recent publications

M. Albatat, R. King, L. Unger, H. Arevalo, S. Wall, J. Sundnes, J. Bergsland and I. Balasingham

Electromechanical Model to Predict Cardiac Resynchronization Therapy

In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2018.
Proceedings, refereed
2018
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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
View
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
View
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
View

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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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

Proceedings, refereed

M. Albatat, R. King, L. Unger, H. Arevalo, S. Wall, J. Sundnes, J. Bergsland and I. Balasingham

Electromechanical Model to Predict Cardiac Resynchronization Therapy

In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2018.
Status: Published