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Most recent publications

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
View
E. Ukwatta, H. Arevalo, M. Rajchl, J. White, F. Pashakhanloo, A. Prakosa, D. A. Herzka, E. McVeigh, A. C. Lardo and N. A. Trayanova

Image-based reconstruction of three-dimensional myocardial infarct geometry for patient-specific modeling of cardiac electrophysiology

Medical Physics 42, no. 8 (2015): 4579-90.
Journal Article
2015
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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 7 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
2015

Journal articles

D. Deng, H. Arevalo, F. Pashakhanloo, A. Prakosa, H. Ashikaga, E. McVeigh, H. Halperin and N. A. Trayanova

Accuracy of prediction of infarct-related arrhythmic circuits from image-based models reconstructed from low and high resolution MRI

Frontiers in Physiology 6, no. 282 (2015).
Status: Published
E. Ukwatta, H. Arevalo, K. Li, J. Yuan, W. Qiu, P. Malamas, K. C. Wu, N. A. Trayanova and F. Vadakkumpadan

Myocardial Infarct Segmentation from Magnetic Resonance Images for Personalized Modeling of Cardiac Electrophysiology

IEEE Transactions on Medical Imaaging (2015).
Status: Published
E. Ukwatta, H. Arevalo, M. Rajchl, J. White, F. Pashakhanloo, A. Prakosa, D. A. Herzka, E. McVeigh, A. C. Lardo and N. A. Trayanova

Image-based reconstruction of three-dimensional myocardial infarct geometry for patient-specific modeling of cardiac electrophysiology

Medical Physics 42, no. 8 (2015): 4579-90.
Status: Published