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Most recent publications

S. Dahal-Koirala, G. Balaban, R. S. Neumann, L. Scheffer, K. E. A. Lundin, V. Greiff, L. M. Sollid, S. Qiao and G. Sandve

TCRPower: Quantifying the detection power of T-cell receptor sequencing with a novel computational pipeline calibrated by spike-in sequences

Briefings in Bioinformatics 23, no. 2 (2022): bbab566.
Journal Article
2022
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M. Pavlović, L. Scheffer, K. Motwani, C. Kanduri, R. Kompova, N. Vazov, K. Waagan, F. L. M. Bernal, A. A. Costa, B. Corrie et al.

The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires

Nature Machine Intelligence 3 (2021): 936-944.
Journal Article
2021
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G. Balaban, B. P. Halliday, D. Hammersley, C. A. Rinaldi, S. K. Prasad, M. J. Bishop and P. Lamata

Left ventricular shape predicts arrhythmic risk in fibrotic dilated cardiomyopathy

EP Europace (2021): 1-11.
Journal Article
2021
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Y. Yao, A. Zia, R. S. Neumann, M. Pavlovic, G. Balaban, K. E. A. Lundin, G. K. Sandve and S. Qiao

T cell receptor repertoire as a potential diagnostic marker for celiac disease

Clinical Immunology 222 (2021).
Journal Article
2021
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About

I am a computer scientist with a background in artificial intelligence and biophysics. I previously developed methods for determining the risk of sudden cardiac death based on MRI analysis, and models of electrical propagation in damaged heart tissue at King's College London. Afterwards, I worked with bioinformatics and machine learning for two years at the University of Oslo. In 2017, I completed my PhD at Simula Research Laboratory/UiO on the topic of cardiac mechanics.

Courses held

Machine Learning Fundamentals, Simula Summer School 2021

Students under supervision

Find publication

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Departments

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Year published

Export 31 results:
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 17, no. 5 (2018): 1317-1329.
Status: Published

Talks, contributed

S. Wall, H. Finsberg, G. Balaban, J. Sundnes and L. C. Lee

Adjoint Based Data Assimilation for Quantification of Dynamic Mechanical Behavior of the Heart

In World Congress of Biomechanics, New York, USA, 2018.
Status: Published
S. Wall, H. Finsberg, G. Balaban and L. C. Lee

Adjoint based data assimilation for quantifying mechanical properties in clinical cardiac mechanics

In Computer Methods in Biomechanics and Bioengineering, Lisbon, Portugal, 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
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

PhD theses

G. Balaban

Adjoint Data Assimilation Methods for Cardiac Mechanics

In University of Oslo. Vol. PhD. University of Oslo: University of Oslo, 2017.
Status: Published
2016

Journal articles

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 (2016): 1-13.
Status: Published

Proceedings, refereed

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

Personalized Cardiac Mechanical Model using a High Resolution Contraction Field

In VPH16 Translating VPH to the Clinic, 2016.
Status: Published

Proceedings, non-refereed

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

Optimization of a Spatially Varying Cardiac Contraction parameter using the Adjoint Method

In FEniCS'16, 2016.
Status: Published

Posters

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

Patient Specific Modeling of Cardiac Mechanics using the Active Strain Formulation

In Geilo Winter School, 2016.
Status: Published