- lenam@simula.no
Publications
2024
Journal Articles
L. Myklebust, M. Maleckar and H. Arevalo
Fibrosis modeling choice affects morphology of ventricular arrhythmia in non-ischemic cardiomyopathy
Frontiers in Physiology
Book Chapters
A. Bertrand, C. Yamamoto, G. Monopoli, T. Schrotter, L. Myklebust, J. J. Uv, H. Arevalo and M. Maleckar
Augmentation of Cardiac Ischemic Geometry for Improving Machine Learning Performance in Arrhythmic Risk Stratification
Computational Physiology: Simula Summer School 2023− Student Reports
2023
Proceedings, refereed
J. J. Uv, L. Myklebust and H. Arevalo
PO-01-207 Vernix Caseosa Distribution Modulates Non-Invasive Fetal ECG Signal: A Computational Study
Heart Rhythm
Talks, contributed
L. Myklebust
Maximum Fibrosis Affects Reentry Morphology in 3D Ventricular Models
Computing in Cardiology
L. Myklebust, J. J. Uv, M. Maleckar and H. Arevalo
Maximum Fibrosis Affects Reentry Morphology in 3D Ventricular Models
Computing in Cardiology
2022
Book Chapters
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
Computational Physiology - Simula Summer School 2021 - Student Reports
Talks, contributed
L. Myklebust, J. J. Uv, H. Welle and H. K. Rudsari
An image-based 3D electrophysiological torso model for simulating maternal and fetal ECG
Virtual Physiological Human Conference - VPH
2021
Journal Articles
M. Maleckar, L. Myklebust, J. J. Uv, P. M. Florvaag, V. Strøm, C. Glinge, R. Jabbari, N. Vejlstrup, T. Engstrøm, K. Ahtarovski, T. Jespersen, J. Tfelt-Hansen and H. Arevalo
Combined In-silico and Machine Learning Approaches Toward Predicting Arrhythmic Risk in Post-infarction Patients
Frontiers in physiology