Gabriel Balaban

Image of Gabriel Balaban
Norwegian version of this page
Room 4122
Username
Visiting address Ole Johan Dahl's Hus Gaustadalléen 23B 0373 Oslo
Postal address Postboks 1080 Blindern 0316 Oslo

I am a computer scientist with a strong background in modelling and simulation, and data science, especially for biomedical applications. I am interested in medical image analysis, cardiology, and bioinformatics. I was previously a post-doctoral researcher at King's College London where I developed models of electrical propagation in the heart, as well as methods for determining the risk of sudden cardiac death based on MRI analysis. I completed my PhD at Simula Research Laboratory/UiO in 2017 on the topic of cardiac mechanics.

 

 

 

 

 

Publications

G. Balaban, I Grytten, K Dagestad-Rand, S Lonneke, GK Sandve, "Ten Simple Rules for Quick and Dirty Scientific Programming",
PLOS Computational Biology, 1008549

G. Balaban, BP Halliday, B Porter, et al "Late-gadolinium enhancement interface area and electrophysiological simulations predict arrhythmic events in patients with nonischemic dilated cardiomyopathy", JACC Clinical Electrophysiology, 7 (2), 238-249

G. Balaban, B. Halliday, W. Bai, et al. “Scar shape analysis in non-ischemic dilated cardiomyopathy: insights from a cohort of image-derived 2D electrophysiology simulations”, PLOS Computational Biology, 15(10), October 2019.

G. Balaban, B. Halliday, C.M. Costa, W. Bai, G. Plank, B. Porter, D. Rueckert, C.A. Rinaldi, S.K. Prasad and M.J. Bishop, “Fibrosis microstructure modulates reentry in non-ischemic dilated cardiomyopathy: insights from image guided 2D computational modelling”, Frontiers in Physiology, 9:1832, December 2018.

G. Balaban, H. Finsberg, S. Funke, T.F. Håland, E. Hopp, J. Sundnes, S. Wall, and M.E. Rognes, “Data assimilation of elastic heterogeneity in an infarcted human heart”, Biomechanics and Modeling in Mechanobiology, 17(5):1317–1329, October 2018.

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, 24:85-90, January 2018.

G. Balaban, H. Finsberg, S. Ross, J. Sundnes, M.E. Rognes, H.H. Odland, and S. Wall, “High resolution data assimilation of cardiac mechanics applied to a dyssynchronous ventricle”, International Journal for Numerical Methods in Biomedical Engineering, 33(11):e2863, April 2017.

G. Balaban, M.S. Alnæs, J. Sundnes, and M.E. Rognes, “Adjoint multi-start based estimation of cardiac hyperelastic material parameters using shear data”, Biomechanics and Modeling in Mechanobiology, 15:1509-1521, March 2016.

Published Nov. 27, 2019 11:52 AM - Last modified Aug. 20, 2021 3:01 PM