Gabriel Balaban

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

G. Balaban, B. P. Halliday, B. Porter, W. Bai, S. Nygåard, R. Owen, S. Hatipoglu, N. D. Ferreira, C. Izgi, U. Tayal, B. Corden, J. Ware, D. J. Pennell, D. Rueckert, G. Plank, C. A. Rinaldi, S. K. Prasad and M. J. Bishop

Late-Gadolinium Enhancement Interface Area and Electrophysiological Simulations Predict Arrhythmic Events in Patients With Nonischemic Dilated Cardiomyopathy

JACC: Clinical Electrophysiology

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

Y. Yao, A. Zia, R. S. Neumann, M. Pavlovic, G. Balaban, K. E. Lundin, G. K. Sandve and S. Qiao

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

Clinical Immunology

G. Balaban, I. Grytten, K. D. Rand, L. Scheffer and G. K. Sandve

Ten simple rules for quick and dirty scientific programming

PLOS Computational Biology

M. Pavlović, L. Scheffer, K. Motwani, C. Kanduri, R. Kompova, N. Vazov, K. Waagan, F. L. M. Bernal, A. A. Costa, B. Corrie, R. Akbar, G. S. A. Hajj, G. Balaban, T. M. Brusko, M. Chernigovskaya, S. Christley, L. G. Cowell, R. Frank, I. Grytten, S. Gundersen, I. H. Haff, E. Hovig, P. Hsieh, G. Klambauer, M. L. Kuijjer, C. Lund-Andersen, A. Martini, T. Minotto, J. Pensar, K. Rand, E. Riccardi, P. A. Robert, A. Rocha, A. Slabodkin, I. Snapkov, L. M. Sollid, D. Titov, C. R. Weber, M. Widrich, G. Yaari, V. Greiff and G. K. Sandve

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

Nature Machine Intelligence

G. Balaban, C. M. Costa, B. Porter, B. Halliday, C. A. Rinaldi, S. Prasad, G. Plank, T. F. Ismail and M. J. Bishop

3D Electrophysiological Modeling of Interstitial Fibrosis Networks and Their Role in Ventricular Arrhythmias in Non-Ischemic Cardiomyopathy

IEEE Transactions on Biomedical Engineering

P. M. Gemmell, K. Gillette, G. Balaban, R. Rajani, E. J. Vigmond, G. Plank and M. J. Bishop

A computational investigation into rate-dependant vectorcardiogram changes due to specific fibrosis patterns in non-ischæmic dilated cardiomyopathy

Computers in Biology and Medicine

G. Balaban, B. P. Halliday, W. Bai, B. Porter, C. Malvuccio, P. Lamata, C. A. Rinaldi, G. Plank, D. Rueckert, S. K. Prasad and M. J. Bishop

Scar shape analysis and simulated electrical instabilities in a non-ischemic dilated cardiomyopathy patient cohort

PLOS Computational Biology

G. Balaban, B. P. Halliday, C. M. Costa, W. Bai, B. Porter, C. A. Rinaldi, G. Plank, D. Rueckert, S. K. Prasad and M. J. Bishop

Fibrosis Microstructure Modulates Reentry in Non-ischemic Dilated Cardiomyopathy: Insights From Imaged Guided 2D Computational Modeling

Frontiers in Physiology

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

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

World Congress of Biomechanics, New York, USA

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

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

Computer Methods in Biomechanics and Bioengineering, Lisbon, Portugal

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

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

G. Balaban

Adjoint Data Assimilation Methods for Cardiac Mechanics

University of Oslo

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

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

VPH16 Translating VPH to the Clinic

H. Finsberg

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

FEniCS'16

H. Finsberg

Patient Specific Modeling of Cardiac Mechanics using the Active Strain Formulation

Geilo Winter School

G. Balaban and S. Wall

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

USART Workshop

H. Finsberg, G. Balaban and M. E. Rognes

Personalization of a Cardiac Compuational Model using Clinical Measurements

28th Nordic Seminar on Computational Mechanics

G. Balaban

Dyssynchronous Left Ventricular Stress Estimation

Workshop on Advanced Numerical Techniques in Biomedical Computing: Simula Research Laboratory

M. E. Rognes, G. Balaban, J. Sundnes and M. S. Alnæs

Identifying the Parameters of the Heart: Variational Data Assimilation in Cardiac Mechanics Using Dolfin-Adjoint

FEniCS '15, Imperial College London, UK

G. Balaban

Optimal Elasticity and Contraction in the Cardiac Cycle

Oslo, Simula Research Laboratory

G. Balaban and H. Finsberg

Patient Constrained Ventricular Stress Mapping

Lugano Switzerland

G. Balaban, J. Sundnes, M. S. Alnæs and M. E. Rognes

Least Squares Fitting of a Cardiac Hyperelasticity Model Using an Automatically Derived Adjoint Equation

Proceedings of NSCM-27: the 27th Nordic Seminar on Computational Mechanics

G. Balaban

Passive Cardiac Mechanics Calibration Using Reduced Order Unscented Kalman Filtering

Presentation at the Uppsala-Simula Scientific Computing Seminar

G. Balaban

Automatic Differentiation of a Fluid-Structure Interaction Problem

FEniCS'13 workshop, Cambridge

G. Balaban

Automatic Differentiation of a Fluid-Structure Interaction Problem

Visit to Biomedical Simulation Lab, University of Toronto

G. Balaban, A. Logg and M. E. Rognes

A Newton Method for Fluid-Structure Interaction Using Full Jacobians Based on Automatic Form Differentiation

6th European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2012