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R. Rodríguez-Cantano, J. Sundnes and M. E. Rognes

Uncertainty in cardiac myofiber orientation and stiffnesses dominate the variability of left ventricle deformation response

International Journal for Numerical Methods in Biomedical Engineering (2019).
Journal Article
2019
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M. Vagos, I. G. M. van Herck, J. Sundnes, H. Arevalo, A. G. Edwards and J. Koivumäki

Computational Modeling of Electrophysiology and Pharmacotherapy of Atrial Fibrillation: Recent Advances and Future Challenges

Frontiers in Physiology (2018).
Journal Article
2018
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G. Balaban, H. Finsberg, S. W. Funke, T. F. Håland, E. Hopp, J. Sundnes, S. Wall and M. E. Rognes

In vivo estimation of elastic heterogeneity in an infarcted human heart

Biomechanics and Modeling in Mechanobiology (2018).
Journal Article
2018
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H. Finsberg, C. Xi, J. Le Tan, L. Zhong, M. Genet, J. Sundnes, L. C. Lee and S. Wall

Efficient estimation of personalized biventricular mechanical function employing gradient-based optimization

International Journal for Numerical Methods in Biomedical Engineering 34, no. 7 (2018).
Journal Article
2018
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News

Henrik Nicolay Finsberg (Photo: Simula)
09 January 2018

Henrik Nicolay Finsberg successfully defended his PhD

On Wednesday January 17th, Henrik Nicolay Finsberg defended his PhD thesis "Patient-Specific Computational Modeling of Cardiac Mechanics". The defense took place at 13:15 at Storstua,...
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Computer generated cardiac model

inHeart: In Silico Heart Failure - Tools for Accelerating Biomedical Research

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AUQ-PDE: Automated uncertainty quantification for numerical solutions of partial differential equations

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SysAFib: Systems medicine for diagnosis and stratification of atrial fibrillation

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Center for Biomedical Computing (SFF)

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2019

Journal articles

R. Rodríguez-Cantano, J. Sundnes and M. E. Rognes

Uncertainty in cardiac myofiber orientation and stiffnesses dominate the variability of left ventricle deformation response

International Journal for Numerical Methods in Biomedical Engineering (2019).
Status: Accepted
2018

Journal articles

G. Balaban, H. Finsberg, S. W. Funke, T. F. Håland, E. Hopp, J. Sundnes, S. Wall and M. E. Rognes

In vivo estimation of elastic heterogeneity in an infarcted human heart

Biomechanics and Modeling in Mechanobiology (2018).
Status: Published
H. Finsberg, C. Xi, J. Le Tan, L. Zhong, M. Genet, J. Sundnes, L. C. Lee and S. Wall

Efficient estimation of personalized biventricular mechanical function employing gradient-based optimization

International Journal for Numerical Methods in Biomedical Engineering 34, no. 7 (2018).
Status: Published
M. Vagos, I. G. M. van Herck, J. Sundnes, H. Arevalo, A. G. Edwards and J. Koivumäki

Computational Modeling of Electrophysiology and Pharmacotherapy of Atrial Fibrillation: Recent Advances and Future Challenges

Frontiers in Physiology (2018).
Status: Published
2017

Journal articles

G. Balaban, H. Finsberg, H. H. Odland, M. E. Rognes, S. Ross, J. Sundnes and S. Wall

High resolution data assimilation of cardiac mechanics

International journal for numerical methods in biomedical engineering 33 (2017): e2863.
Status: Published
S. Behdadfar, L. Navarro, J. Sundnes, M. Maleckar, S. Ross, H. H. Odland and S. Avril

A Centerline Based Model Morphing Algorithm for Patient-Specific Finite Element Modelling of the Left Ventricle

IEEE Transactions on Biomedical Engineering (2017).
Status: Published
H. Finsberg, G. Balaban, S. Ross, T. F. Håland, H. H. Odland, J. Sundnes and S. Wall

Estimating cardiac contraction through high resolution data assimilation of a personalized mechanical model

Journal of Computational Science 24 (2017): 85-90.
Status: Published
V. Timmermann, L. A. Dejgaard, K. H. Haugaa, A. G. Edwards, J. Sundnes, A. D. McCulloch and S. Wall

An integrative appraisal of mechano-electric feedback mechanisms in the heart

Progress in biophysics and molecular biology 130 (2017): 404-417.
Status: Published
A. Tveito, K. H. Jæger, G. T. Lines, Ł. Paszkowski, J. Sundnes, A. G. Edwards, T. Mäki-Marttunen, G. Halnes and G. T. Einevoll

An Evaluation of the Accuracy of Classical Models for Computing the Membrane Potential and Extracellular Potential for Neurons

Frontiers in Computational Neuroscience 11 (2017): 27.
Status: Published
M. Vagos, H. Arevalo, B. L. de Oliveira, J. Sundnes and M. Maleckar

A computational framework for testing arrhythmia marker sensitivities to model parameters in functionally calibrated populations of atrial cells

Chaos 27, no. 9 (2017).
Status: Published