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M. Maleckar, L. Myklebust, J. J. Uv, P. M. Florvaag, V. Strøm, C. Glinge, R. Jabbari, N. Vejlstrup, T. Engstrøm, K. Ahtarovski et al.

Combined In-silico and Machine Learning Approaches Toward Predicting Arrhythmic Risk in Post-infarction Patients

Frontiers in physiology 12 (2021): 745349.
Journal Article
2021
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M. Vagos, H. Arevalo, J. Heijman, U. Schotten and J. Sundnes

A computational study of the effects of tachycardia-induced remodelling on calcium wave propagation in rabbit atrial myocytes

Frontiers in Physiology 12 (2021).
Journal Article
2021
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M. Albatat, H. Arevalo, J. Bergsland, V. Strøm, I. Balasingham and H. H. Odland

Optimal pacing sites in cardiac resynchronization by left ventricular activation front analysis

Computers in Biology and Medicine 128 (2021): 104159.
Journal Article
2021
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H. Ashikaga, H. Arevalo, F. Vadakkumpadan, J. D. Bayer, S. Nazarian, M. M Zviman, H. Tandri, R. D. Berger and H. Calkins

Feasibility of image-based simulation to estimate ablation target in human ventricular arrhythmia

Heart Rhythm (2013).
Journal Article
2013
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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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News

05 September 2023

Simula hosts Inria guests to discuss current & future collaboration

Background

PhD in Biomedical Engineering
Johns Hopkins University
May 2014

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Export 6 results:
2021

Journal articles

M. Albatat, H. Arevalo, J. Bergsland, V. Strøm, I. Balasingham and H. H. Odland

Optimal pacing sites in cardiac resynchronization by left ventricular activation front analysis

Computers in Biology and Medicine 128 (2021): 104159.
Status: Published
M. Maleckar, L. Myklebust, J. J. Uv, P. M. Florvaag, V. Strøm, C. Glinge, R. Jabbari, N. Vejlstrup, T. Engstrøm, K. Ahtarovski et al.

Combined In-silico and Machine Learning Approaches Toward Predicting Arrhythmic Risk in Post-infarction Patients

Frontiers in physiology 12 (2021): 745349.
Status: Published
M. Vagos, H. Arevalo, J. Heijman, U. Schotten and J. Sundnes

A computational study of the effects of tachycardia-induced remodelling on calcium wave propagation in rabbit atrial myocytes

Frontiers in Physiology 12 (2021).
Status: Published

Posters

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

B-PO02-022 Combining simulation and machine learning to accurately predict arrhythmic risk in post-infarction patients

In Heart Rhythm. Vol. 18. Boston, MA: Elsevier, 2021.
Status: Published
2013

Journal articles

H. Arevalo, G. Plank, P. Helm, H. Halperin and N. A. Trayanova

Tachycardia in post-infarction hearts: insights from 3D image-based ventricular models

PLOS ONE (2013).
Status: Published
H. Ashikaga, H. Arevalo, F. Vadakkumpadan, J. D. Bayer, S. Nazarian, M. M Zviman, H. Tandri, R. D. Berger and H. Calkins

Feasibility of image-based simulation to estimate ablation target in human ventricular arrhythmia

Heart Rhythm (2013).
Status: Published