Julie Johanne Uv
Affiliated PhD student
- Department
- Computational Physiology
- Organisation
- Simula Research Laboratory

- julie@simula.no
Publications
2024
Book Chapters
Á. J. B. Pérez, M. J. Magoon, M. Sahota, L. Schicketanz, J. J. Uv, P. M. Boyle and H. J. Arevalo
Non-Invasive Detection of Fetal Ischemia Through Electrocardiography
Computational Physiology: Simula Summer School 2023 − Student Reports
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, J. J. Uv, M. Maleckar and H. Arevalo
Maximum Fibrosis Affects Reentry Morphology in 3D Ventricular Models
Computing in Cardiology
2022
Proceedings, refereed
J. J. Uv and H. Arevalo
Electrophysiological Simulation of Maternal-Fetal ECG on a 3D Maternal Torso Model
Computing in Cardiology
Book Chapters
A. Elmokashfi, S. W. Funke, T. Klock, M. Kuchta, V. Naumova and J. J. Uv
Digital tracing, validation, and reporting
Smittestopp − A Case Study on Digital Contact Tracing
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