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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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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:
2022

Talks, contributed

L. Myklebust, J. J. Uv, H. Welle, H. K. Rudsari and H. Arevalo

An image-based 3D electrophysiological torso model for simulating maternal and fetal ECG

In Virtual Physiological Human Conference - VPH, 2022.
Status: Published
L. Pankewitz, S. Govil, K. G. Hustad, J. C. Perry, S. Hedge, R. Tang, A. D. McCulloch and H. Arevalo

Development of a Biventricular Coordinate System with Representation of an Anatomically Detailed Base

In Tampere , 2022.
Status: Accepted
I. G. M. van Herck, H. Finsberg, C. Daversin-Catty, M. Mora, B. Trenor, H. Arevalo and S. Wall

Functional Analysis of Healthy and Heart Failure Tissue Populations using 3D Cardiac Electromechanical Models

In 15th World Congress on Computational Mechanics (virtual), 2022.
Status: Accepted
I. G. M. van Herck, J. Llopis-Lorente, H. Finsberg, C. Daversin-Catty, M. Mora, J. Saiz, B. Trenor, H. Arevalo and S. Wall

Computational 3D cardiac electromechanical models for functional and pharmacological analysis

In 9th International Workshop on Cardiac Mechano-Electric Coupling and Arrhythmias, 2022.
Status: Published
I. G. M. van Herck, M. Mora, H. Finsberg, C. Daversin-Catty, B. Trenor, H. Arevalo and S. Wall

Omecamtiv Mecarbil Improves Contraction Behaviour in a 3D Electromechanical Tissue Model of Heart Failure

In 49th Computing in Cardiology Conference, 2022.
Status: Published
2019

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