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Most recent publications

J. Langguth, H. Arevalo, K. G. Hustad and X. Cai

Towards Detailed Real-Time Simulations of Cardiac Arrhythmia

In Computing in Cardiology. Vol. 46. IEEE, 2019.
Proceedings, refereed
2019
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H. Arevalo, K. H. Jæger and S. Wall

Investigating the Pro- and Anti-Arrhythmic Properties of Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes in Post-Infarction Patient Hearts: A Modeling Study

In 6th International Conference on Computational and Mathematical Biomedical Engineering. Vol. 1. Zeta Computational Resources Ltd, 2019.
Proceedings, refereed
2019
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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
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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 11 results:
2019

Proceedings, refereed

H. Arevalo, K. H. Jæger and S. Wall

Investigating the Pro- and Anti-Arrhythmic Properties of Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes in Post-Infarction Patient Hearts: A Modeling Study

In 6th International Conference on Computational and Mathematical Biomedical Engineering. Vol. 1. Zeta Computational Resources Ltd, 2019.
Status: Published
J. Langguth, H. Arevalo, K. G. Hustad and X. Cai

Towards Detailed Real-Time Simulations of Cardiac Arrhythmia

In Computing in Cardiology. Vol. 46. IEEE, 2019.
Status: Published

Posters

J. Langguth, H. Arevalo, K. G. Hustad and X. Cai

Towards Detailed Real-Time Simulations of Cardiac Arrhythmia

International Conference in Computing in Cardiology, Singapore, 2019.
Status: Published

Talks, contributed

P. M. Florvaag, V. Strøm, C. Glinge, R. Jabbari, N. Vejlstrup, T. Engstrom, K. A. Ahtarovski, T. Jespersen, J. Tfelt-Hansen, V. Naumova et al.

A Combined In-Silico and Machine Learning Approach towards Predicting Arrhythmic Risk in Post-Infarction Patients

In Computing in Cardiology, Singapore, 2019.
Status: Published
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

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