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Publications of Sophie Giffard-Roisin

Thesis

  1. Sophie Giffard-Roisin. Non-invasive Personalisation of Cardiac Electrophysiological Models from Surface Electrograms. Theses, Université côte d'azur, December 2017. Keyword(s): ECG Imaging, Personalisation, Cardiac Electrophysiology Model, Machine learning, Simulated database, Inverse problem, Imagerie ECG, Personnalisation, Modèle electrophysiologique cardique, Apprentissage machine, Base de données simulée, Problème inverse. [bibtex-entry]


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


Articles in journal, book chapters

  1. 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. TRANSACTIONS ON BIOMEDICAL ENGINEERING, 20, 2018. Keyword(s): Cardiac Electrophysiology, Inverse Problem of ECG, Personalisation, ECG Imaging, Index Terms-Cardiac Electrophysiology, In- verse Problem of ECG. [bibtex-entry]


  2. 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, cardiac strain, numerical simulation, motion estimation, electromechanical model, Multimodal cardiac imaging. [bibtex-entry]


  3. 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): Parameter estimation, ECG Imaging, Personalisation, Cardiac Electrophysiology, In- verse Problem of ECG. [bibtex-entry]


  4. 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]


Conference articles

  1. 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, volume 10263 of Functional imaging and modelling of the heart 2017 Proceedings, Toronto, Canada, June 2017. Keyword(s): Fiber orientation, Rule-based method, Electrophysiological simulations, Arrhythmias, Outflow tracts. [bibtex-entry]


  2. 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): ECG Imaging, Personalisation, Relevance Vector Machine, Cardiac Electrophysiology. [bibtex-entry]


  3. 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 FIMH 2017 - 9th International Conference on Functional Imaging and Modelling of the Heart, volume 141 of Functional imaging and modelling of the heart 2017 Proceedings, Toronto, Canada, pages 333-343, June 2017. Springer International Publishing. Keyword(s): Meshless, FEM, Cardiac electrophysiology, SPH. [bibtex-entry]


  4. 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 7th International Statistical Atlases and Computational Modeling of the Heart (STACOM) Workshop, Held in Conjunction with MICCAI 2016, Lecture Notes in Computer Science, Athens, Greece, October 2016. Note: In press. Keyword(s): Electrophysiology, Electrophysiological Model, Forward EP Model, Parameter Estimation, Purkinje System. [bibtex-entry]


  5. 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]


  6. 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, Proceedings of the 5th international STACOM workshop (Boston, September 18, 2014), 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 Electrophysiology modeling, Cardiac Modeling, Cardiac electrical activity, Personalized modeling, Personalised modelling, Modelling and Simulation, Mechanical modeling, Cardiac Modelling, Modelisation cardiaque. [bibtex-entry]



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Last modified: Thu Dec 13 12:30:04 2018
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