Patient-specific modeling of dyssynchronous heart failure: A case study, Progress in Biophysics and Molecular Biology, vol.107, issue.1, pp.147-155, 2011. ,
DOI : 10.1016/j.pbiomolbio.2011.06.014
Characterization of Left Ventricular Activation in Patients With Heart Failure and Left Bundle-Branch Block, Circulation, vol.109, issue.9, pp.1133-1139, 2004. ,
DOI : 10.1161/01.CIR.0000118502.91105.F6
The Morphology of the Electrocardiogram, 2006. ,
Mathematical Modeling of Electrocardiograms: A Numerical Study, Annals of Biomedical Engineering, vol.98, issue.1???3, pp.1071-1097, 2010. ,
DOI : 10.1161/01.CIR.98.18.1928
URL : https://hal.archives-ouvertes.fr/inria-00400490
Effects of Material Properties and Geometry on Electrocardiographic Forward Simulations, Annals of Biomedical Engineering, vol.28, issue.7, pp.721-741, 2000. ,
DOI : 10.1114/1.1289467
Experimentally calibrated population of models predicts and explains intersubject variability in cardiac cellular electrophysiology, Proceedings of the National Academy of Sciences, vol.110, issue.23, pp.2098-2105, 2013. ,
DOI : 10.1016/j.ejps.2008.09.013
Uncertainty Visualization in Forward and Inverse Cardiac Models, Computing in Cardiology, vol.40, pp.57-60, 2013. ,
Abstract, Communications in Computational Physics, vol.1, issue.03, pp.542-567, 2011. ,
DOI : 10.1137/060659831
A human ventricular cell model for investigation of cardiac arrhythmias under hyperkalaemic conditions, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol.35, issue.4, pp.4205-4232, 1954. ,
DOI : 10.1142/S0218127403008806
Bayesian Sensitivity Analysis of a Cardiac Cell Model Using a Gaussian Process Emulator, PLOS ONE, vol.96, issue.6, 2015. ,
DOI : 10.1371/journal.pone.0130252.s003
Left ventricular modelling: a quantitative functional assessment tool based on cardiac magnetic resonance imaging, Interface Focus, vol.13, issue.5, pp.384-395, 2011. ,
DOI : 10.1016/j.jcmg.2009.03.001
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3262439
Electrophysiological properties under heart failure conditions in a human ventricular cell: A modeling study, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.4324-4329, 2014. ,
DOI : 10.1109/EMBC.2014.6944581
Natural history of isolated bundle branch block, The American Journal of Cardiology, vol.77, issue.14, pp.1185-1190, 1996. ,
DOI : 10.1016/S0002-9149(96)00160-9
Towards Patient Specific Models of Cardiac Mechanics: A Sensitivity Study, Proceedings of the 2nd International Conference on Functional Imaging and Modeling of the Heart, pp.3-81, 2003. ,
DOI : 10.1007/3-540-44883-7_9
From Left Ventricular Hypertrophy to Congestive Heart Failure: Management of Hypertensive Heart Disease, Progress in Cardiovascular Diseases, vol.48, issue.5, pp.326-341, 2006. ,
DOI : 10.1016/j.pcad.2006.02.001
Human Atrial Action Potential and Ca2+ Model: Sinus Rhythm and Chronic Atrial Fibrillation, Circulation Research, vol.109, issue.9, pp.1055-1066, 2011. ,
DOI : 10.1161/CIRCRESAHA.111.253955
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3208665
Creation of a Realistic Endocardial Stimulation Profile for the Visible Man Dataset, IFMBE Proceedings, pp.934-937, 2009. ,
DOI : 10.1007/978-3-642-03882-2_249
Ranking the Influence of Tissue Conductivities on Forward-Calculated ECGs, IEEE Transactions on Biomedical Engineering, vol.57, issue.7, pp.1568-1576, 2010. ,
DOI : 10.1109/TBME.2010.2046485
A Global Sensitivity Index for Biophysically Detailed Cardiac Cell Models: A Computational Approach, Functional Imaging and Modeling of the Heart, pp.366-375, 2009. ,
DOI : 10.1103/PhysRevE.78.021126
Electrical coupling of fibroblasts and myocytes: relevance for cardiac propagation, Journal of Electrocardiology, vol.38, issue.4, pp.45-50, 2005. ,
DOI : 10.1016/j.jelectrocard.2005.06.096
Poster, Proceedings of the 2011 companion on High Performance Computing Networking, Storage and Analysis Companion, SC '11 Companion, p.2012, 2011. ,
DOI : 10.1145/2148600.2148608
Patient-specific volumetric atrial models with electrophysiological components: A comparison of simulations and measurements, Biomedizinische Technik/Biomedical Engineering, vol.55, 2010. ,
The Progression From Hypertension to Congestive Heart Failure, JAMA: The Journal of the American Medical Association, vol.275, issue.20, pp.1557-1562, 1996. ,
DOI : 10.1001/jama.1996.03530440037034
Subject-specific, multiscale simulation of electrophysiology: a software pipeline for image-based models and application examples, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol.32, issue.6, pp.2293-2310, 1896. ,
DOI : 10.1016/j.jelectrocard.2008.08.002
Quantification of Restitution Dispersion From the Dynamic Changes of the <formula formulatype="inline"> <tex Notation="TeX">$T$</tex></formula>-Wave Peak to End, Measured at the Surface ECG, IEEE Transactions on Biomedical Engineering, vol.58, issue.5, pp.1172-1182, 2011. ,
DOI : 10.1109/TBME.2010.2097597
The role of canine superficial ventricular muscle fibers in endocardial impulse distribution, Circulation Research, vol.42, issue.1, pp.27-35, 1978. ,
DOI : 10.1161/01.RES.42.1.27
Current progress in patient-specific modeling, Briefings in Bioinformatics, vol.11, issue.1, pp.111-126, 2010. ,
DOI : 10.1093/bib/bbp049
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2810113
An in-silico analysis of the effect of heart position and orientation on the ECG morphology and vectorcardiogram parameters in patients with heart failure and intraventricular conduction defects, Journal of Electrocardiology, vol.48, issue.4, pp.617-625, 2015. ,
DOI : 10.1016/j.jelectrocard.2015.05.004
Simulation of the Undiseased Human Cardiac Ventricular Action Potential: Model Formulation and Experimental Validation, PLoS Computational Biology, vol.93, issue.Pt2, p.1002061, 2011. ,
DOI : 10.1371/journal.pcbi.1002061.s001
Cardiac activation???repolarization patterns and ion channel expression mapping in intact isolated normal human hearts, Heart Rhythm, vol.14, issue.2, pp.265-272, 2017. ,
DOI : 10.1016/j.hrthm.2016.10.010
Ventricular asynchrony predicts a better outcome in patients with chronic heart failure receiving cardiac resynchronization therapy, Journal of the American College of Cardiology, vol.45, issue.1, pp.65-69, 2005. ,
DOI : 10.1016/j.jacc.2004.09.058
A Comparison of Monodomain and Bidomain Reaction-Diffusion Models for Action Potential Propagation in the Human Heart, IEEE Transactions on Biomedical Engineering, vol.53, issue.12, pp.2425-2435, 2006. ,
DOI : 10.1109/TBME.2006.880875
Cardiac anisotropy in boundary-element models for the electrocardiogram, Medical & Biological Engineering & Computing, vol.3, issue.4, pp.719-729, 2009. ,
DOI : 10.1504/IJBRA.2007.011837
Patient-specific modelling of cardiac electrophysiology in heart-failure patients, Europace, vol.16, issue.suppl 4, pp.56-61, 2014. ,
DOI : 10.1093/europace/euu257
URL : https://hal.archives-ouvertes.fr/hal-01080113
Mechanisms of ventricular rate adaptation as a predictor of arrhythmic risk, AJP: Heart and Circulatory Physiology, vol.298, issue.5, pp.1577-1587, 2010. ,
DOI : 10.1152/ajpheart.00936.2009
A Multiscale Investigation of Repolarization Variability and Its Role in Cardiac Arrhythmogenesis, Biophysical Journal, vol.101, issue.12, pp.2892-2902, 2011. ,
DOI : 10.1016/j.bpj.2011.09.060
Variable Patterns of Septal Activation in Patients with Left Bundle Branch Block and Heart Failure, Journal of Cardiovascular Electrophysiology, vol.99, issue.2, pp.135-141, 2003. ,
DOI : 10.1161/01.CIR.99.23.2993
Impact of ionic current variability on human ventricular cellular electrophysiology, AJP: Heart and Circulatory Physiology, vol.297, issue.4, pp.1436-1445, 2009. ,
DOI : 10.1152/ajpheart.00263.2009
Generating Purkinje networks in the human heart, Journal of Biomechanics, vol.49, issue.12, pp.2455-2465, 2016. ,
DOI : 10.1016/j.jbiomech.2015.12.025
The Na+/K+ pump is an important modulator of refractoriness and rotor dynamics in human atrial tissue, AJP: Heart and Circulatory Physiology, vol.302, issue.5, pp.1146-1159, 2012. ,
DOI : 10.1152/ajpheart.00668.2011
Inter-Subject Variability in Human Atrial Action Potential in Sinus Rhythm versus Chronic Atrial Fibrillation, PLoS ONE, vol.279, issue.8, p.105897, 2014. ,
DOI : 10.1371/journal.pone.0105897.s004
Quantification of repolarization reserve to understand interpatient variability in the response to proarrhythmic drugs: a computa- C, 2011. ,
Exploiting mathematical models to illuminate electrophysiological variability between individuals, The Journal of Physiology, vol.284, issue.11, pp.2555-2567, 2012. ,
DOI : 10.1152/ajpheart.00576.2002
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3424714
Regression methods for parameter sensitivity analysis: Applications to cardiac arrhythmia mechanisms, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.4657-4660, 2011. ,
DOI : 10.1109/IEMBS.2011.6091153
ECG Quantification of Myocardial Scar in Cardiomyopathy Patients With or Without Conduction Defects: Correlation With Cardiac Magnetic Resonance and Arrhythmogenesis, Circulation: Arrhythmia and Electrophysiology, vol.1, issue.5, pp.327-336, 2008. ,
DOI : 10.1161/CIRCEP.108.798660
Defining Left Bundle Branch Block in the Era of Cardiac Resynchronization Therapy, The American Journal of Cardiology, vol.107, issue.6, pp.927-934, 2011. ,
DOI : 10.1016/j.amjcard.2010.11.010
American Heart Association Electrocardiography and Arrhythmias Committee, Council on Clinical Cardiology AHA/ACCF/HRS recommendations for the standardization and interpretation of the electrocardiogram: part III: intraventricular conduction disturbances: a scientific statement from the American Heart Association Electrocardiography and Arrhythmias Committee, Council on Clinical Cardiology; the American College of Cardiology Foundation; and the Heart Rhythm Society, Endorsed by the International Society for Computerized Electrocardiology, pp.976-981, 2009. ,
Ventricular Pump Function and Pacing: Physiological and Clinical Integration, Circulation: Arrhythmia and Electrophysiology, vol.1, issue.2, pp.127-139, 2008. ,
DOI : 10.1161/CIRCEP.108.777904
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.557.3216
The effect of nonconformal finite element boundaries on electrical monodomain and Bidomain simulations, pp.97-100, 2010. ,
Electrophysiological remodeling in hypertrophy and heart failure, Cardiovascular Research, vol.42, issue.2, pp.270-283, 1999. ,
DOI : 10.1016/S0008-6363(99)00017-6
Hierarchical multivariate regression-based sensitivity analysis reveals complex parameter interaction patterns in dynamic models, Chemometrics and Intelligent Laboratory Systems, vol.120, pp.25-41, 2013. ,
DOI : 10.1016/j.chemolab.2012.10.006
Simulation and Mechanistic Investigation of the Arrhythmogenic Role of the Late Sodium Current in Human Heart Failure, PLoS ONE, vol.92, issue.164, p.32659, 2012. ,
DOI : 10.1371/journal.pone.0032659.s015
Alternans and spiral breakup in a human ventricular tissue model, AJP: Heart and Circulatory Physiology, vol.291, issue.3, pp.1088-1100, 2006. ,
DOI : 10.1152/ajpheart.00109.2006
Principles and methods for automatic and semi-automatic tissue segmentation in MRI data, Magnetic Resonance Materials in Physics, Biology and Medicine, vol.10, issue.3, pp.95-110, 2016. ,
DOI : 10.1109/TMI.2009.2013851
Effectiveness of Cardiac Resynchronization Therapy by QRS Morphology in the Multicenter Automatic Defibrillator Implantation Trial-Cardiac Resynchronization Therapy (MADIT-CRT), Circulation, vol.123, issue.10, pp.1061-1072, 2011. ,
DOI : 10.1161/CIRCULATIONAHA.110.960898