Lena Myklebust

L. Myklebust, M. Maleckar and H. Arevalo

Fibrosis modeling choice affects morphology of ventricular arrhythmia in non-ischemic cardiomyopathy

Frontiers in Physiology

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

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

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

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

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

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