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Publications of Nicolas Cedilnik

Thesis

  1. Nicolas Cedilnik. Image-based Personalised Models of Cardiac Electrophysiology for Ventricular Tachycardia Therapy Planning. Theses, Université Côte d'Azur, December 2020. Keyword(s): Ventricular tachycardia, Model personalisation, Cardiac electrophysiology, Computed tomography, Tachycardie ventriculaire, Personnalisation de modèles, Électrophysiologie cardiaque, Imagerie tomodensitométrique. [bibtex-entry]


Articles in journal, book chapters

  1. Tania Bacoyannis, Buntheng Ly, Nicolas Cedilnik, Hubert Cochet, and Maxime Sermesant. Deep Learning Formulation of ECGI Integrating Image \& Signal Information with Data-driven Regularisation. EP-Europace, 23(Supplement_1):i55-i62, March 2021. Keyword(s): Deep learning, Computational Modelling, Electrocardiographic Imaging, Inverse Problem, Generative Model. [bibtex-entry]


  2. Masateru Takigawa, Josselin Duchateau, Frederic Sacher, Ruairidh Martin, Konstantinos Vlachos, Takeshi Kitamura, Maxime Sermesant, Nicolas Cedilnik, Ghassen Cheniti, Antonio Frontera, Nathaniel Thompson, Calire Martin, Grégoire Massoullié, Felix Bourier, Anna Lam, Michael Wolf, William Escande, Clémentine André, Thomas Pambrun, Arnaud Denis, Nicolas Derval, Mélèze Hocini, Michel Haïssaguerre, Hubert Cochet, and Pierre Jaïs. Are wall thickness channels defined by computed tomography predictive of isthmuses of postinfarction ventricular tachycardia?. Heart Rhythm, 16(11):1661-1668, June 2019. Keyword(s): Isthmus, High-resolution mapping, Contrart-enhanced multidetector computed tomography, MUSIC, Myocardial infarction, Ventricular tachycardia, Wall thickness. [bibtex-entry]


  3. Nicolas Cedilnik, Josselin Duchateau, Rémi Dubois, Frédéric Sacher, Pierre Jaïs, Hubert Cochet, and Maxime Sermesant. Fast Personalized Electrophysiological Models from CT Images for Ventricular Tachycardia Ablation Planning. EP-Europace, 20, November 2018. Keyword(s): Electrophysiology, Sudden Cardiac Death, Computed Tomography, Computational Modelling, Catheter Ablation, Myocardial Infarction. [bibtex-entry]


Conference articles

  1. Marta Nuñez-Garcia, Nicolas Cedilnik, Shuman Jia, Hubert Cochet, Marco Lorenzi, and Maxime Sermesant. Estimation of imaging biomarker's progression in post-infarct patients using cross-sectional data. In STACOM 2020 - 11th International Workshop on Statistical Atlases and Computational Models of the Heart, Lima, Peru, pages p.108-116, October 2020. Keyword(s): Post-infarct cardiac remodeling, Ventricular arrhythmia, Cross-sectional data, Disease progression modeling. [bibtex-entry]


  2. Marta Nuñez-Garcia, Nicolas Cedilnik, Shuman Jia, Maxime Sermesant, and Hubert Cochet. Automatic multiplanar CT reformatting from trans-axial into left ventricle short-axis view. In STACOM 2020 - 11th International Workshop on Statistical Atlases and Computational Models of the Heart, Lima, Peru, pages p.108-116, October 2020. Keyword(s): Cardiac imaging, Short-axis view, Deep learning segmentation, Automatic image reformatting. [bibtex-entry]


  3. Ibrahim Ayed, Nicolas Cedilnik, Patrick Gallinari, and Maxime Sermesant. EP-Net: Learning Cardiac Electrophysiology Models for Physiology-based Constraints in Data-Driven Predictions. In FIMH 2019 - 10th International Conference on Functional Imaging of the Hearth, Bordeaux, France, pages 55-63, June 2019. Springer. [bibtex-entry]


  4. Tania Bacoyannis, Julian Krebs, Nicolas Cedilnik, Hubert Cochet, and Maxime Sermesant. Deep Learning Formulation of ECGI for Data-driven Integration of Spatiotemporal Correlations and Imaging Information. In FIMH 2019 - 10th International Conference on Functional Imaging and Modeling of the Heart, volume LNCS 11504, Bordeaux, France, pages 20-28, June 2019. Springer. Keyword(s): Simulation, Generative Model, Deep learning, ECGI. [bibtex-entry]


  5. Nicolas Cedilnik, Josselin Duchateau, Frederic Sacher, Pierre Jaïs, Hubert Cochet, and Maxime Sermesant. Fully Automated Electrophysiological Model Personalisation Framework from CT Imaging. In FIMH 2019 - 10th International Conference on Functional Imaging and Modeling of the Heart, Bordeaux, France, pages 325-333, June 2019. Keyword(s): Model Personalisation, Deep learning, Segmentation, Imaging. [bibtex-entry]


  6. Nicolas Cedilnik, Shuman Jia, Pierre Jaïs, Hubert Cochet, and Maxime Sermesant. Automatic non-invasive substrate analysis from CT images in post-infarction VT. In EHRA 2019 - European Heart Rhythm Association, volume 21, Lisbonne, Portugal, pages 720-739, March 2019. [bibtex-entry]


  7. Nicolas Cedilnik and Maxime Sermesant. Eikonal Model Personalisation using Invasive Data to Predict Cardiac Resynchronisation Therapy Electrophysiological Response. In STACOM 2019 - 10th Workshop on Statistical Atlases and Computational Modelling of the Heart, Shenzen, China, October 2019. Keyword(s): Cardiac resynchronisation therapy, Electrophysiology, Computer model, Personalisation. [bibtex-entry]


  8. Nicolas Cedilnik, Josselin Duchateau, Rémi Dubois, Pierre Jaïs, Hubert Cochet, and Maxime Sermesant. VT Scan: Towards an Efficient Pipeline from Computed Tomography Images to Ventricular Tachycardia Ablation. In Functional Imaging and Modelling of the Heart, Functional Imaging and Modelling of the Heart, Toronto, Canada, pages 271-279, June 2017. Springer International Publishing. Keyword(s): Catheter ablation, Ventricular tachycardia, Heart imaging, Electrophysiological modelling. [bibtex-entry]



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Last modified: Mon Sep 27 12:30:04 2021
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