R. A. Gray and P. Pathmanathan, Patient-Specific Cardiovascular Computational Modeling: Diversity of Personalization and Challenges, Journal of Cardiovascular Translational Research, pp.1-9, 2018.

A. Lopez-perez, R. Sebastian, and J. M. Ferrero, Threedimensional cardiac computational modelling: Methods, features and applications, Biomedical Engineering Online, vol.14, p.35, 2015.

Z. Chen, R. Cabrera-loyoza, J. Relan, M. Sohal, A. Shetty et al., Biophysical Modeling Predicts Ventricular Tachycardia Inducibility and Circuit Morphology: A Combined Clinical Validation and Computer Modeling Approach, Journal of cardiovascular electrophysiology, vol.27, issue.7, pp.851-60, 2016.

R. Cabrera-lozoya, B. B. Cochet, H. Jaïs, P. Ayache, N. Sermesant et al., Image-based Biophysical Simulation of Intracardiac Abnormal Ventricular Electrograms, IEEE Transactions on Biomedical Engineering, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01313615

H. J. Arevalo, F. Vadakkumpadan, E. Guallar, A. Jebb, P. Malamas et al., Arrhythmia risk stratification of patients after myocardial infarction using personalized heart models, Nature Communications, vol.7, p.11437, 2016.

A. P. Hill, M. D. Perry, N. Abi-gerges, J. Couderc, B. Fermini et al., Computational cardiology and risk stratification for sudden cardiac death: One of the grand challenges for cardiology in the 21st century, The Journal of Physiology, vol.594, issue.23, pp.6893-908, 2016.

J. Relan, P. Chinchapatnam, M. Sermesant, K. Rhode, M. Ginks et al., Coupled personalization of cardiac electrophysiology models for prediction of ischaemic ventricular tachycardia, Interface Focus, vol.1, issue.3, pp.396-407, 2011.
URL : https://hal.archives-ouvertes.fr/inria-00616188

E. J. Ciaccio, H. Ashikaga, R. A. Kaba, D. Cervantes, B. Hopenfeld et al., Model of reentrant ventricular tachycardia based on infarct border zone geometry predicts reentrant circuit features as determined by activation mapping. Heart Rhythm, vol.4, pp.1034-1079, 2007.

N. A. Trayanova, F. Pashakhanloo, K. C. Wu, and H. R. Halperin, Imaging-Based Simulations for Predicting Sudden Death and Guiding Ventricular Tachycardia Ablation. Circulation: Arrhythmia and Electrophysiology, vol.10, p.4743, 2017.

S. Mahida, F. Sacher, R. Dubois, M. Sermesant, F. Bogun et al., Cardiac Imaging in Patients With Ventricular Tachycardia, Circulation, vol.136, issue.25, pp.2491-507, 2017.

G. Michael, C. Hubert, J. Pierre, S. Maxime, P. Smita et al., Correlation between computer tomography-derived scar topography and critical ablation sites in postinfarction ventricular tachycardia, Journal of Cardiovascular Electrophysiology, vol.29, issue.3, pp.438-483, 2018.

K. Nikolaou, A. Knez, S. Sagmeister, B. J. Wintersperger, P. Boekstegers et al., Assessment of myocardial infarctions using multidetector-row computed tomography, Journal of computer assisted tomography, vol.28, issue.2, pp.286-92, 2004.

A. Yezzi and J. Prince, An eulerian PDE approach for computing tissue thickness, IEEE Transactions on Medical Imaging, vol.22, issue.10, pp.1332-1341, 2003.

D. Bakker, J. M. , V. Capelle, F. J. Janse, M. J. Tasseron et al., Slow conduction in the infarcted human heart. 'Zigzag' course of activation, Circulation, vol.88, issue.3, pp.915-941, 1993.

N. Cedilnik, J. Duchateau, R. Dubois, P. Jaïs, H. Cochet et al., Towards an Efficient Pipeline from Computed Tomography Images to Ventricular Tachycardia Ablation, Functional Imaging and Modelling of the Heart, pp.271-280, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01498672

L. Antiga, Generalizing vesselness with respect to dimensionality and shape, The Insight Journal, vol.3, pp.1-14, 2007.

A. F. Frangi, W. J. Niessen, K. L. Vincken, and M. A. Viergever, Multiscale vessel enhancement filtering, International Conference on Medical Image Computing and ComputerAssisted Intervention, pp.130-137, 1998.

P. Chinchapatnam, K. S. Rhode, M. Ginks, C. A. Rinaldi, P. Lambiase et al., Model-Based Imaging of Cardiac Apparent Conductivity and Local Conduction Velocity for Diagnosis and Planning of Therapy, IEEE Transactions on Medical Imaging, vol.27, issue.11, pp.1631-1673, 2008.
URL : https://hal.archives-ouvertes.fr/inria-00616071

E. Anter, C. M. Tschabrunn, A. E. Buxton, and M. E. Josephson, High-Resolution Mapping of Postinfarction Reentrant Ventricular Tachycardia Clinical Perspective: Electrophysiological Characterization of the Circuit, Circulation, vol.134, issue.4, pp.314-341, 2016.

N. Hansen, S. D. Müller, and P. Koumoutsakos, Reducing the time complexity of the derandomized evolution strategy with covariance matrix adaptation (CMA-ES). Evolutionary computation, vol.11, pp.1-18, 2003.