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Most recent publications

M. Albatat, H. Finsberg, H. Arevalo, J. Sundnes, J. Bergsland, I. Balasingham and H. H. Odland

Regional Left Ventricular Fiber Stress Analysis for Cardiac Resynchronization Therapy Response

Annals of Biomedical Engineering 51 (2022): 343-351.
Journal Article
2022
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I. van Herck, H. Finsberg, C. Daversin-Catty, M. Mora, B. Trenor, H. Arevalo and S. Wall

Population of Computational Cell and Tissue Cardiac Electromechanical Models for functional analysis

In World Congress of Biomechanics. 9th ed, 2022.
Proceedings, refereed
2022
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J. J. Uv, L. Myklebust, H. K. Rudsari, H. Welle and H. Arevalo

3D Simulations of Fetal and Maternal Ventricular Excitation for Investigating the Abdominal ECG

In Computational Physiology - Simula Summer School 2021 - Student Reports, 13-24. Vol. 12. Cham: Springer International Publishing, 2022.
Book Chapter
2022
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J. Langguth, H. Arevalo 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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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

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2019

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