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Computational translation of drug effects from animal experiments to human ventricular myocytes." Nature Scientific Reports (2020): 10537."
Improved computational identification of drug response using optical measurements of human stem cell derived cardiomyocytes in microphysiological systems." Frontiers in Pharmacology 10 (2020)."
DLITE Uses Cell-Cell Interface Movement to Better Infer Cell-Cell Tensions." Biophysical Journal 117 (2019): 1714-1727."
Abnormal Tissue Zone Detection and Average Active Stress Estimation in Patients with LV Dysfunction." In Medical and Biological Image Analysis, edited by R. Koprowski. IntechOpen, 2018."
Computing Optimal Properties of Drugs Using Mathematical Models of Single Channel Dynamics." Computational and Mathematical Biophysics 6, no. 1 (2018): 41-64."
cbcbeat: an adjoint-enabled framework for computational cardiac electrophysiology." Journal of Open Source Software 2, no. 13 (2017)."
A Centerline Based Model Morphing Algorithm for Patient-Specific Finite Element Modelling of the Left Ventricle." IEEE Transactions on Biomedical Engineering (2017)."
A computational framework for testing arrhythmia marker sensitivities to model parameters in functionally calibrated populations of atrial cells." Chaos 27, no. 9 (2017)."
A data-driven framework uncovers arrhythmogenic mechanisms in a 'functionally calibrated' population of models. Biophysical Society 61st Annual Meeting, New Orleans, Louisiana, USA, 2017.
Inverse estimation of cardiac activation times via gradient-based optimization." International Journal for Numerical Methods in Biomedical Engineering 34, no. 2 (2017): e2919."
A multiple kernel learning framework to investigate the relationship between ventricular fibrillation and first myocardial infarction In Functional Imaging and Modelling of the Heart, Edited by M. Pop and G. Wright. Springer, 2017.
Studying dyadic structure-function relationships: a review of current modeling approaches and new insights into Ca2+ (mis)handling." Clinical Medicine Insights: Cardiology 11 (2017): 1-11."
From MR image to patient-specific simulation and population-based analysis:Tutorial for an openly available image-processing pipeline In MICCAI Workshop on Statistical Atlases and Cardiac Models of the Heart, Edited by T. Engstrom. Berlin: Springer, 2016.
Refractoriness in human atria: Time and voltage dependence of sodium channel availability." Journal of Molecular and Cellular Cardiology 101 (2016): 26-34."
Simple T wave metrics may better predict early ischemia as compared to ST segment." IEEE Transactions on Biomedical Engineering 64, no. 99 (2016): 1305-1309."
How many ionic models do we need for modelling of the atria? In Atrial Signals 2015. Karlsruhe, Germany, 2015.
Localization and not extent of fibrofatty infiltration is the primary factor determining conduction disturbance in a computational model of arrhythmogenic cardiomyopathy In E-Health and Bioengineering Conference (EHB). IEEE, 2015.
Putting the pieces together: towards supplementing sparse clinical data with multi physics simulation In Foundation Teofilo Rossi di Montelera Forum 2015. Lugano, Switzerland, 2015.
Action Potential Repolarisation in Healthy and Fibrillating Human Atria: Contribution of Small Conductance Calcium-Activated Potassium Channels In Conference of the Scandinavian Physiological Society., 2014.
Action Potential Repolarisation in Healthy and Fibrillating Human Atria: Contribution of Small Conductance Calcium-Activated Potassium Channels., 2014.
Electrophysiology and advanced simulation techniques focused on atrial fibrillation In Annual Meeting of the Scandinavian Physiological Society., 2014.
In Silico Screening of the Key Cellular Remodeling Targets in Chronic Atrial Fibrillation." PLoS Computational Biology 10(5) (2014)."
Investigations of the NaV\beta1b Sodium Channel Subunit in Human Ventricle; Functional Characterization of the H162P Brugada Syndrome Mutant." Heart and Circulatory Physiology 306 (2014): H1204-H1212."
Localization and not extent of fibrofatty infiltration is the primary factor determining conduction disturbance in a computational model of arrhythomogenic cardiomyopathy In Copenhagen Meeting on Cardiac Arrhythmia, May 19-22, 2014. Copenhagen Meeting on Cardiac Arrhythmia, May 19-22, 2014, 2014.