Effect of Cardiac Resynchronization Therapy on Left Ventricular Size and Function in Chronic Heart Failure, Circulation, vol.107, issue.15, pp.1985-1990, 2003. ,
DOI : 10.1161/01.CIR.0000065226.24159.E9
Patient-specific electromechanical models of the heart for the prediction of pacing acute effects in CRT: A preliminary clinical validation, Medical Image Analysis, vol.16, issue.1, pp.201-215, 2012. ,
DOI : 10.1016/j.media.2011.07.003
Localization of the site of origin of cardiac activation by means of a heart-model-based electrocardiographic imaging approach, IEEE Transactions on Biomedical Engineering, vol.48, issue.6, pp.660-669, 2001. ,
DOI : 10.1109/10.923784
Noninvasive Personalization of a Cardiac Electrophysiology Model From Body Surface Potential Mapping, IEEE Transactions on Biomedical Engineering, vol.64, issue.9, pp.2206-2218, 2017. ,
DOI : 10.1109/TBME.2016.2629849
Spatially Adaptive Multi-Scale Optimization for Local Parameter Estimation in Cardiac Electrophysiology, IEEE Transactions on Medical Imaging, vol.36, issue.9, 2017. ,
DOI : 10.1109/TMI.2017.2697820
The inverse problem of electrocardiography, Comprehensive Electrocardiology, pp.299-344, 2010. ,
DOI : 10.1007/978-1-84882-046-3_9
Imaging cardiac activation sequence during ventricular tachycardia in a canine model of nonischemic heart failure, American Journal of Physiology-Heart and Circulatory Physiology, vol.4, issue.2, pp.108-114, 2014. ,
DOI : 10.1152/ajpheart.00639.2005
Temporal Sparse Promoting Three Dimensional Imaging of Cardiac Activation, IEEE Transactions on Medical Imaging, vol.34, issue.11, pp.2309-2319, 2015. ,
DOI : 10.1109/TMI.2015.2429134
URL : http://europepmc.org/articles/pmc4652642?pdf=render
Noninvasive Imaging of High-Frequency Drivers and Reconstruction of Global Dominant Frequency Maps in Patients With Paroxysmal and Persistent Atrial Fibrillation, IEEE Transactions on Biomedical Engineering, vol.63, issue.6, pp.1333-1340, 2016. ,
DOI : 10.1109/TBME.2016.2553641
Three-Dimensional Noninvasive Imaging of Ventricular Arrhythmias in Patients with Premature Ventricular Contractions, IEEE Transactions on Biomedical Engineering, 2017. ,
DOI : 10.1109/TBME.2017.2758369
Examining the Impact of Prior Models in Transmural Electrophysiological Imaging: A Hierarchical Multiple-Model Bayesian Approach, IEEE Transactions on Medical Imaging, vol.35, issue.1, pp.229-243, 2016. ,
DOI : 10.1109/TMI.2015.2464315
Noninvasive Computational Imaging of Cardiac Electrophysiology for 3-D Infarct, IEEE Transactions on Biomedical Engineering, vol.58, issue.4, pp.1033-1043, 2011. ,
DOI : 10.1109/TBME.2010.2099226
Estimation of Global Ventricular Activation Sequences by Noninvasive Three-Dimensional Electrical Imaging: Validation Studies in a Swine Model During Pacing, Journal of Cardiovascular Electrophysiology, vol.113, issue.5, pp.535-540, 2008. ,
DOI : 10.1161/01.CIR.96.3.1012
Localization of Origins of Premature Ventricular Contraction by Means of Convolutional Neural Network from 12-lead ECG, IEEE Transactions on Biomedical Engineering, 2017. ,
DOI : 10.1109/TBME.2017.2756869
Interindividual variability of multilead electrocardiographic recordings: Influence of heart position, Journal of Electrocardiology, vol.32, issue.2, pp.137-148, 1999. ,
DOI : 10.1016/S0022-0736(99)90092-4
Cardiac Position Sensitivity Study in the Electrocardiographic Forward Problem Using Stochastic Collocation and Boundary Element Methods, Annals of Biomedical Engineering, vol.2, issue.1, p.2900, 2011. ,
DOI : 10.1137/040615201
URL : http://europepmc.org/articles/pmc3362042?pdf=render
Tailored versus realistic geometry in the inverse problem of electrocardiography, IEEE Transactions on Biomedical Engineering, vol.36, issue.8, pp.827-835, 1989. ,
DOI : 10.1109/10.30808
Individualized model of torso surface for the inverse problem of electrocardiology, Journal of Electrocardiology, vol.45, issue.3, pp.231-236, 2012. ,
DOI : 10.1016/j.jelectrocard.2012.01.006
How Much Geometrical Detail Do We Need in Cardiac Electrophysiological Imaging? A Generic Heart-Torso Representation for Fast Subject-Specific Customization, STACOM Workshop Conjunction with MICCAI Conference, pp.232-241, 2010. ,
DOI : 10.1007/978-3-642-15835-3_24
Sensitivity of Noninvasive Cardiac Electrophysiological Imaging to Variations in Personalized Anatomical Modeling, IEEE Transactions on Biomedical Engineering, vol.62, issue.6, pp.1563-1575, 2015. ,
DOI : 10.1109/TBME.2015.2395387
URL : https://doi.org/10.1109/tbme.2015.2395387
Disentangling inter-subject variations: Automatic localization of ventricular tachycardia origin from 12-lead electrocardiograms, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), pp.616-619, 2017. ,
DOI : 10.1109/ISBI.2017.7950596
Bioelectromagnetism: principles and applications of bioelectric and biomagnetic fields, 1995. ,
DOI : 10.1093/acprof:oso/9780195058239.001.0001
A two-current model for the dynamics of cardiac membrane, Bulletin of Mathematical Biology, vol.65, issue.5, pp.767-793, 2003. ,
DOI : 10.1016/S0092-8240(03)00041-7
URL : http://www.phy.duke.edu/~qelectron/pubs/BullMathBio65_767.pdf
Sparse Bayesian Non-linear Regression for Multiple Onsets Estimation in Non-invasive Cardiac Electrophysiology, FIMH Conference, pp.230-238, 2017. ,
DOI : 10.1016/j.media.2016.09.008
URL : https://hal.archives-ouvertes.fr/hal-01498602
Infarct Localization From Myocardial Deformation: Prediction and Uncertainty Quantification by Regression From a Low-Dimensional Space, IEEE Transactions on Medical Imaging, vol.35, issue.10, pp.2340-2352, 2016. ,
DOI : 10.1109/TMI.2016.2562181
URL : https://hal.archives-ouvertes.fr/hal-01314767
Laplace-spectra as fingerprints for shape matching, Proceedings of the 2005 ACM symposium on Solid and physical modeling , SPM '05, pp.101-106, 2005. ,
DOI : 10.1145/1060244.1060256
URL : http://www.gdv.uni-hannover.de/~reuter/papers/reuter-spm05/reuter-spm05.pdf
An eigendecomposition approach to weighted graph matching problems, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.10, issue.5, pp.695-703, 1988. ,
DOI : 10.1109/34.6778
Fast marginal likelihood maximisation for sparse bayesian models, AISTATS, 2003. ,
Variational relevance vector machines, Proceedings of the conference on Uncertainty in artificial intelligence, pp.46-53, 2000. ,
Noninvasive Electrocardiographic Imaging (ECGI): Application of the Generalized Minimal Residual (GMRes) Method, Annals of Biomedical Engineering, vol.31, issue.8, pp.981-994, 2003. ,
DOI : 10.1114/1.1588655
Integration of electro-anatomical and imaging data of the left ventricle: An evaluation framework, Medical Image Analysis, vol.32, pp.131-144, 2016. ,
DOI : 10.1016/j.media.2016.03.010
Statistical Variations of Heart Orientation in Healthy Adults, 2017 Computing in Cardiology Conference (CinC), 2017. ,
DOI : 10.22489/CinC.2017.225-058
URL : https://doi.org/10.22489/cinc.2017.225-058
Solving inaccuracies in the heart position and orientation for inverse solution by using electric information, Computing in Cardiology Conference, 2017. ,
DOI : 10.22489/cinc.2017.226-202
URL : https://doi.org/10.22489/cinc.2017.226-202
Feasibility of a semi-automated method for cardiac conduction velocity analysis of high-resolution activation maps, Computers in biology and medicine, pp.177-183, 2015. ,
DOI : 10.1016/j.compbiomed.2015.05.008
Spatially Coherent Activation Maps for Electrocardiographic Imaging, IEEE Transactions on Biomedical Engineering, vol.64, issue.5, pp.1149-1156, 2017. ,
DOI : 10.1109/TBME.2016.2593003
URL : https://hal.archives-ouvertes.fr/hal-01386890
Quantifying the Uncertainty in Model Parameters Using Gaussian Process-Based Markov Chain Monte Carlo: An Application to Cardiac Electrophysiological Models, IPMI Conference, pp.223-235, 2017. ,
DOI : 10.1007/978-3-642-33415-3_76
Reduced order models, forward and inverse problems in cardiac electrophysiology, 2014. ,
URL : https://hal.archives-ouvertes.fr/tel-01092945