Publications of Sophie Giffard-Roisin

1. Sophie Giffard-Roisin. Non-invasive personalisation of cardiac electrophysiological models from surface electrograms. Theses, COMUE Université Côte d'Azur (2015 - 2019), December 2017. Keyword(s): Cardiac Electro-physiology Model, Machine learning, Simulated database, Inverse problem, Personalisation, ECG imaging, Problème inverse, Base de données simulée, Apprentissage machine, Modèle électrophysiologique cardiaque, Personnalisation, Imagerie ECG. [bibtex-entry]

1. Rubén Doste, David Soto-iglesias, Gabriel Bernardino, Alejandro Alcaine, Rafael Sebastian, Sophie Giffard-Roisin, Maxime Sermesant, Antonio Berruezo, Damian Sanchez-quintana, and Oscar Camara. A rule-based method to model myocardial fiber orientation in cardiac biventricular geometries with outflow tracts. International Journal for Numerical Methods in Biomedical Engineering, 35(4), March 2019. Keyword(s): Outflow tract ventricular arrhythmia, Electrophysiological simulations, Septum, Outflow tract, Fiber orientation, Rule-based method. [bibtex-entry]



2. Sophie Giffard-Roisin, Hervé Delingette, Thomas Jackson, Jessica Webb, Lauren Fovargue, Jack Lee, Christopher A Rinaldi, Reza Razavi, Nicholas Ayache, and Maxime Sermesant. Transfer Learning from Simulations on a Reference Anatomy for ECGI in Personalised Cardiac Resynchronization Therapy. IEEE Transactions on Biomedical Engineering, 20, 2018. Keyword(s): In- verse Problem of ECG, Index Terms-Cardiac Electrophysiology, ECG Imaging, Personalisation, Inverse Problem of ECG, Cardiac Electrophysiology. [bibtex-entry]



3. Yitian Zhou, Sophie Giffard-Roisin, Mathieu de Craene, Sorina Camarasu-Pop, Jan d'Hooge, Martino Alessandrini, Denis Friboulet, Maxime Sermesant, and Olivier Bernard. A Framework for the Generation of Realistic Synthetic Cardiac Ultrasound and Magnetic Resonance Imaging Sequences from the same Virtual Patients. IEEE Transactions on Medical Imaging, 37(3):741-754, 2018. Keyword(s): synthetic sequences, electromechanical model, Multimodal cardiac imaging, cardiac strain, motion estimation, numerical simulation. [bibtex-entry]



4. Sophie Giffard-Roisin, Thomas Jackson, Lauren Fovargue, Jack Lee, Hervé Delingette, Reza Razavi, Nicholas Ayache, and Maxime Sermesant. Non-Invasive Personalisation of a Cardiac Electrophysiology Model from Body Surface Potential Mapping. IEEE Transactions on Biomedical Engineering, 64(9):2206 - 2218, September 2017. Note: Selected for the TBME highlights, sept. 2017rlhttps://tbme.embs.org/2017/08/24/non-invasive-personalisation-cardiac-electrophysiology-model-body-surface-potential-mapping/. Keyword(s): Personalisation, Cardiac Electrophysiology, In- verse Problem of ECG, Parameter estimation, ECG Imaging. [bibtex-entry]



5. Martino Alessandrini, Mathieu de Craene, Olivier Bernard, Sophie Giffard-Roisin, Pascal Allain, Juergen Weese, Eric Saloux, Hervé Delingette, Maxime Sermesant, and Jan d'Hooge. A Pipeline for the Generation of Realistic 3D Synthetic Echocardiographic Sequences: Methodology and Open-access Database.. IEEE Transactions on Medical Imaging, 34(7):1436-1451, 2015. [bibtex-entry]

1. Bidisha Chakraborty, Sophie Giffard-Roisin, Martino Alessandrini, Brecht Heyde, M Sermesant, and Jan d'Hooge. Estimation of the Spatial Resolution of a 2D Strain Estimator Using Synthetic Cardiac Images. In IUS 2018 - IEEE International Ultrasonics Symposium, Kobe, Japan, pages 1-9, October 2018. IEEE. [bibtex-entry]



2. Rubén Doste, David Soto-Iglesias, Gabriel Bernardino, Rafael Sebastian, Sophie Giffard-Roisin, Rocìo Cabrera-Lozoya, Maxime Sermesant, Antonio Berruezo, Damián Sánchez-Quintana, and Oscar Camara. A Rule-Based Method to Model Myocardial Fiber Orientation for Simulating Ventricular Outflow Tract Arrhythmias. In Lecture Notes in Computer Science, editor, Functional imaging and modelling of the heart 2017 Proceedings, volume 10263 of Functional imaging and modelling of the heart 2017 Proceedings, Toronto, Canada, June 2017. Keyword(s): Outflow tracts, Arrhythmias, Electrophysiological simulations, Rule-based method, Fiber orientation. [bibtex-entry]



3. Sophie Giffard-Roisin, Hervé Delingette, Thomas Jackson, Lauren Fovargue, Jack Lee, Aldo Rinaldi, Nicholas Ayache, Reza Razavi, and Maxime Sermesant. Sparse Bayesian Non-linear Regression for Multiple Onsets Estimation in Non-invasive Cardiac Electrophysiology. In Mihaela Pop, editor, Functional imaging and modelling of the heart 2017, Functional imaging and modelling of the heart 2017, Toronto, Canada, pages 230-238, June 2017. Springer International Publishing. Note: Best paper award FIMH 2017, category: Electrophysiology. Keyword(s): Personalisation, Relevance Vector Machine, Cardiac Electrophysiology, ECG Imaging. [bibtex-entry]



4. Eric Lluch, Rubén Doste, Sophie Giffard-Roisin, Alexandre This, Maxime Sermesant, Oscar Camara, Mathieu de Craene, and Hernán G Morales. Smoothed Particle Hydrodynamics for Electrophysiological Modeling: An Alternative to Finite Element Methods. In Functional imaging and modelling of the heart 2017 Proceedings, volume 141 of Functional imaging and modelling of the heart 2017 Proceedings, Toronto, Canada, pages 333-343, June 2017. Springer International Publishing. Keyword(s): SPH, Cardiac electrophysiology, FEM, Meshless. [bibtex-entry]



5. Sophie Giffard-Roisin, Lauren Fovargue, Jessica Webb, Roch Molléro, Jack Lee, Hervé Delingette, Nicholas Ayache, Reza Razavi, and Maxime Sermesant. Estimation of Purkinje Activation from ECG: an Intermittent Left Bundle Branch Block Study. In Lecture Notes in Computer Science, Lecture Notes in Computer Science, Athens, Greece, October 2016. Note: In press. Keyword(s): Purkinje System, Parameter Estimation, Forward EP Model, Electrophysiological Model, Electrophysiology. [bibtex-entry]



6. Martino Alessandrini, Brecht Heyde, Sophie Giffard-Roisin, Hervé Delingette, Maxime Sermesant, Pascal Allain, Olivier Bernard, Mathieu de Craene, and Jan d'Hooge. Generation of ultra-realistic synthetic echocardiographic sequences to facilitate standardization of deformation imaging. In International Symposium on BIOMEDICAL IMAGING: From Nano to Macro (ISBI 2015), New York, United States, pages 756-759, April 2015. [bibtex-entry]



7. Sophie Giffard-Roisin, Stéphanie Marchesseau, Loic Le Folgoc, Hervé Delingette, and Maxime Sermesant. Evaluation of Personalised Canine Electromechanical Models. In O. Camara, T. Mansi, M. Pop, K. Rhode, M. Sermesant, and A. Young, editors, 5th International Workshop, STACOM 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers, number 8896 of 5th International Workshop, STACOM 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers, Boston, United States, pages 74-82, September 2014. Pop M., Springer. Keyword(s): Cardiac Electrophisiology, Cardiac Modeling, Cardiac Electrophysiology modeling, Cardiac Modelling, Mechanical modeling, Modelling and Simulation, Personalised modelling, Personalized modeling, Cardiac electrical activity, Modelisation cardiaque. [bibtex-entry]

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