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Most recent publications

A. Tveito, K. H. Jæger, M. Maleckar, W. R. Giles and S. Wall

Computational translation of drug effects from animal experiments to human ventricular myocytes

Nature Scientific Reports (2020): 10537.
Journal Article
2020
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M. Albatat, J. Bergsland, H. Arevalo, H. H. Odland, S. Wall, J. Sundnes and I. Balasingham

Multisite pacing and myocardial scars: a computational study

Computer Methods in Biomechanics and Biomedical Engineering 23, no. 6 (2020).
Journal Article
2020
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K. H. Jæger, V. Charwat, B. Charrez, H. Finsberg, M. Maleckar, S. Wall, K. E. Healy and A. Tveito

Improved computational identification of drug response using optical measurements of human stem cell derived cardiomyocytes in microphysiological systems

Frontiers in Pharmacology 10 (2020).
Journal Article
2020
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S. Kallhovd, S. U. Gjerald, S. Wall, J. Saberniak, K. Haugaa and M. Maleckar

Localization and not extent of fibrofatty infiltratio is the primary factor determining conduction disturbance in a computational model of arrhythmogenic cardiomyopathy

In 2015 E-Health and Bioengineering Conference (EHB). ACM IEEE, 2015.
Proceedings, refereed
2015
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2020

Journal articles

M. Albatat, J. Bergsland, H. Arevalo, H. H. Odland, S. Wall, J. Sundnes and I. Balasingham

Multisite pacing and myocardial scars: a computational study

Computer Methods in Biomechanics and Biomedical Engineering 23, no. 6 (2020).
Status: Published
K. H. Jæger, V. Charwat, B. Charrez, H. Finsberg, M. Maleckar, S. Wall, K. E. Healy and A. Tveito

Improved computational identification of drug response using optical measurements of human stem cell derived cardiomyocytes in microphysiological systems

Frontiers in Pharmacology 10 (2020).
Status: Published
A. Tveito, K. H. Jæger, M. Maleckar, W. R. Giles and S. Wall

Computational translation of drug effects from animal experiments to human ventricular myocytes

Nature Scientific Reports (2020): 10537.
Status: Published
2015

Journal articles

L. C. Lee, J. Sundnes, M. Genet, J. F. Wenk and S. Wall

An integrated electromechanical-growth heart model for simulating cardiac therapies

Biomechanics and Modeling in Mechanobiology 15, no. 4 (2015): 791-803.
Status: Published
B. L. de Oliveira, J. Sundnes, S. Wall and A. D. McCulloch

Increased Membrane Capacitance Is the Dominant Mechanism of Stretch-Dependent Conduction Slowing in the Rabbit Heart: a Computational Study

Cellular and Molecular Bioengineering 8, no. 2 (2015): 237-246.
Status: Published

Proceedings, refereed

S. U. Gjerald, J. E. Hake, S. Pezzuto, J. Sundnes and S. Wall

Patient–Specific Parameter Estimation for a Transversely Isotropic Active Strain Model of Left Ventricular Mechanics

In Statistical Atlases and Computational Models of the Heart-Imaging and Modelling Challenges. Springer International Publishing, 2015.
Status: Published
S. Kallhovd, S. U. Gjerald, S. Wall, J. Saberniak, K. Haugaa and M. Maleckar

Localization and not extent of fibrofatty infiltratio is the primary factor determining conduction disturbance in a computational model of arrhythmogenic cardiomyopathy

In 2015 E-Health and Bioengineering Conference (EHB). ACM IEEE, 2015.
Status: Published
K. S. Mcleod, S. Wall, J. Saberniak and K. Haugaa

Statistical Analysis of Ventricular Shape of ARVC Patients and Correlation with Clinical Diagnostic Indices.

In Journal of Cardiovascular Magnetic Resonance 2015, 18th Annual SCMR Scientific Sessions. Supp 1 ed. Vol. 17, 2015.
Status: Published
K. S. Mcleod, S. Wall and M. Noack

Fast Sweeping vs. Fast Marching for Eikonal Methods of Electrophysiology - A Potential for Significantly More Efficient Computation?

In Cardiac Physiome Workshop, Auckland, New Zealand, 2015.
Status: Published

Proceedings, non-refereed

G. Balaban and S. Wall

A Computational Method for Determining Left Ventricular Diastolic Fiber Strain Relative to a Zero Pressure Geometry

In USART Workshop, 2015.
Status: Published