Scientific contributions
These are my contributions to the fields of cardiac electrophysiological modelling
and biomedical image processing, retrieved from HAL.
My google scholar profile might
contain some more items.
My PhD manuscript is readable directly in the browser at /phd.
Articles
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Efficient Patient-Specific Simulations of Ventricular Tachycardia Based on Computed Tomography-Defined Wall Thickness Heterogeneity
@ JACC: Clinical Electrophysiology
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Nicolas Cedilnik, Mihaela Pop, Josselin Duchateau, Frédéric Sacher, Pierre Jaïs, Hubert Cochet, Maxime Sermesant
(2023-09)
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Meshless Electrophysiological Modeling of Cardiac Resynchronization Therapy—Benchmark Analysis with Finite-Element Methods in Experimental Data
@ Applied Sciences
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Carlos Albors, Èric Lluch, Juan Francisco Gomez, Nicolas Cedilnik, Konstantinos Mountris, Tommaso Mansi, Svyatoslav Khamzin, Arsenii Dokuchaev, Olga Solovyova, Esther Pueyo, Maxime Sermesant, Rafael Sebastian, Hernán Morales, Oscar Camara
(2022-07)
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3D MRI of explanted sheep hearts with submillimeter isotropic spatial resolution: comparison between diffusion tensor and structure tensor imaging
@ Magnetic Resonance Materials in Physics, Biology and Medicine
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Julie Magat, Valéry Ozenne, Nicolas Cedilnik, Jérôme Naulin, Kylian Haliot, Maxime Sermesant, Stephen Gilbert, Mark Trew, Michel Haissaguerre, Bruno Quesson, Olivier Bernus
(2021-10)
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Deep Learning Formulation of ECGI Integrating Image & Signal Information with Data-driven Regularisation
@ EP-Europace
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Tania Bacoyannis, Buntheng Ly, Nicolas Cedilnik, Hubert Cochet, Maxime Sermesant
(2021-03-01)
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Are wall thickness channels defined by computed tomography predictive of isthmuses of postinfarction ventricular tachycardia?
@ Heart Rhythm
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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, Pierre Jaïs
(2019-06)
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Fast Personalized Electrophysiological Models from CT Images for Ventricular Tachycardia Ablation Planning
@ EP-Europace
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Nicolas Cedilnik, Josselin Duchateau, Rémi Dubois, Frédéric Sacher, Pierre Jaïs, Hubert Cochet, Maxime Sermesant
(2018-11-23)
Communications
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Weighted tissue thickness
@ FIMH 2023 - 12th International Conference On Functional Imaging And Modeling Of The Heart
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Nicolas Cedilnik, Jean-Marc Peyrat
(2023-06-19)
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EP-Net 2.0: Out-of-Domain Generalisation for Deep Learning Models of Cardiac Electrophysiology
@ FIMH 2021 - 11th International Conference on Functional Imaging and Modeling of the Heart
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Victoriya Kashtanova, Ibrahim Ayed, Nicolas Cedilnik, Patrick Gallinari, Maxime Sermesant
(2021-06-21)
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Automatic multiplanar CT reformatting from trans-axial into left ventricle short-axis view
@ STACOM 2020 - 11th International Workshop on Statistical Atlases and Computational Models of the Heart
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Marta Nuñez-Garcia, Nicolas Cedilnik, Shuman Jia, Maxime Sermesant, Hubert Cochet
(2020-10-04)
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Estimation of imaging biomarker's progression in post-infarct patients using cross-sectional data
@ STACOM 2020 - 11th International Workshop on Statistical Atlases and Computational Models of the Heart
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Marta Nuñez-Garcia, Nicolas Cedilnik, Shuman Jia, Hubert Cochet, Marco Lorenzi, Maxime Sermesant
(2020-10-04)
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Eikonal Model Personalisation using Invasive Data to Predict Cardiac Resynchronisation Therapy Electrophysiological Response
@ STACOM 2019 - 10th Workshop on Statistical Atlases and Computational Modelling of the Heart
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Nicolas Cedilnik, Maxime Sermesant
(2019-10-13)
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Deep Learning Formulation of ECGI for Data-driven Integration of Spatiotemporal Correlations and Imaging Information
@ FIMH 2019 - 10th International Conference on Functional Imaging and Modeling of the Heart
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Tania Bacoyannis, Julian Krebs, Nicolas Cedilnik, Hubert Cochet, Maxime Sermesant
(2019-06-06)
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EP-Net: Learning Cardiac Electrophysiology Models for Physiology-based Constraints in Data-Driven Predictions
@ FIMH 2019 - 10th International Conference on Functional Imaging of the Hearth
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Ibrahim Ayed, Nicolas Cedilnik, Patrick Gallinari, Maxime Sermesant
(2019-06-06)
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Fully Automated Electrophysiological Model Personalisation Framework from CT Imaging
@ FIMH 2019 - 10th International Conference on Functional Imaging and Modeling of the Heart
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Nicolas Cedilnik, Josselin Duchateau, Frederic Sacher, Pierre Jaïs, Hubert Cochet, Maxime Sermesant
(2019-06-06)
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Automatic non-invasive substrate analysis from CT images in post-infarction VT
@ EHRA 2019 - European Heart Rhythm Association
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Nicolas Cedilnik, Shuman Jia, Pierre Jaïs, Hubert Cochet, Maxime Sermesant
(2019-03-17)
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SPADE: A Small Particle Detection Method Using A Dictionary Of Shapes Within The Marked Point Process Framework
@ IEEE International Symposium on Biomedical Imaging (ISBI)
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Nicolas Cedilnik, Eric Debreuve, Fabienne de Graeve, Florence Besse, Xavier Descombes
(2018-04-04)
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VT Scan: Towards an Efficient Pipeline from Computed Tomography Images to Ventricular Tachycardia Ablation
@ Functional Imaging and Modelling of the Heart
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Nicolas Cedilnik, Josselin Duchateau, Rémi Dubois, Pierre Jaïs, Hubert Cochet, Maxime Sermesant
(2017-06-11)
Posters
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An image based high throughput screen to identify regulators of Imp containing RNP granules
@ 32nd French Drosophila Meeting
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Fabienne de Graeve, Somia Rahmoun, Djampa Kozlowski, Nicolas Cedilnik, Eric Debreuve, Xavier Descombes, Florence Besse
(2018-10-09)
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SPADE: A Small Particle Detection Method Using A Dictionary Of Shapes Within The Marked Point Process Framework
@ IEEE International Symposium on Biomedical Imaging (ISBI)
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Nicolas Cedilnik, Eric Debreuve, Fabienne de Graeve, Florence Besse, Xavier Descombes
(2018-04-04)