Recherche - Archive ouverte HAL

Document
17
Notice
3

2023
2
2022
1
2021
3
2020
3
2019
6
2018
4
2017
1

anglais
20

		An image based high throughput screen to identify regulators of Imp containing RNP granules Fabienne de Graeve , Somia Rahmoun , Djampa Kozlowski , Nicolas Cedilnik , Eric Debreuve , et al. 32nd French Drosophila Meeting, Oct 2018, Hyères, France Poster de conférence hal-01900773v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Fully Automated Electrophysiological Model Personalisation Framework from CT Imaging Nicolas Cedilnik , Josselin Duchateau , Frederic Sacher , Pierre Jaïs , Hubert Cochet , et al. FIMH 2019 - 10th International Conference on Functional Imaging and Modeling of the Heart, Jun 2019, Bordeaux, France. pp.325-333 Communication dans un congrès hal-02106609v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		SPADE: A Small Particle Detection Method Using A Dictionary Of Shapes Within The Marked Point Process Framework Nicolas Cedilnik , Eric Debreuve , Fabienne de Graeve , Florence Besse , Xavier Descombes IEEE International Symposium on Biomedical Imaging (ISBI), Apr 2018, Washington, DC, United States Communication dans un congrès hal-01867805v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		EP-Net 2.0: Out-of-Domain Generalisation for Deep Learning Models of Cardiac Electrophysiology Victoriya Kashtanova , Ibrahim Ayed , Nicolas Cedilnik , Patrick Gallinari , Maxime Sermesant FIMH 2021 - 11th International Conference on Functional Imaging and Modeling of the Heart, Jun 2021, Stanford, CA (virtual), United States. pp.482-492, ⟨10.1007/978-3-030-78710-3_46⟩ Communication dans un congrès hal-03369201v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Deep Learning Formulation of ECGI for Data-driven Integration of Spatiotemporal Correlations and Imaging Information Tania Bacoyannis , Julian Krebs , Nicolas Cedilnik , Hubert Cochet , Maxime Sermesant FIMH 2019 - 10th International Conference on Functional Imaging and Modeling of the Heart, Jun 2019, Bordeaux, France. pp.20-28 Communication dans un congrès hal-02108958v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Are wall thickness channels defined by computed tomography predictive of isthmuses of postinfarction ventricular tachycardia? Masateru Takigawa , Josselin Duchateau , Frederic Sacher , Ruairidh Martin , Konstantinos Vlachos , et al. Heart Rhythm, 2019, Heart Rhythm, 16 (11), pp.1661-1668. ⟨10.1016/j.hrthm.2019.06.012⟩ Article dans une revue hal-02181776v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Eikonal Model Personalisation using Invasive Data to Predict Cardiac Resynchronisation Therapy Electrophysiological Response Nicolas Cedilnik , Maxime Sermesant STACOM 2019 - 10th Workshop on Statistical Atlases and Computational Modelling of the Heart, Oct 2019, Shenzen, China Communication dans un congrès hal-02368288v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Image-based Personalised Models of Cardiac Electrophysiology for Ventricular Tachycardia Therapy Planning Nicolas Cedilnik Medical Imaging. Université Côte d'Azur, 2020. English. ⟨NNT : 2020COAZ4097⟩ Thèse tel-03147908v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Estimation of imaging biomarker's progression in post-infarct patients using cross-sectional data Marta Nuñez-Garcia , Nicolas Cedilnik , Shuman Jia , Hubert Cochet , Marco Lorenzi , et al. STACOM 2020 - 11th International Workshop on Statistical Atlases and Computational Models of the Heart, Oct 2020, Lima, Peru. p.108--116 Communication dans un congrès hal-02961506v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Efficient Patient-Specific Simulations of Ventricular Tachycardia Based on Computed Tomography-Defined Wall Thickness Heterogeneity Nicolas Cedilnik , Mihaela Pop , Josselin Duchateau , Frédéric Sacher , Pierre Jaïs , et al. JACC: Clinical Electrophysiology, 2023, ⟨10.1016/j.jacep.2023.08.008⟩ Article dans une revue hal-04255556v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Automatic non-invasive substrate analysis from CT images in post-infarction VT Nicolas Cedilnik , Shuman Jia , Pierre Jaïs , Hubert Cochet , Maxime Sermesant EHRA 2019 - European Heart Rhythm Association, Mar 2019, Lisbonne, Portugal. pp.720-739, ⟨10.1093/europace/euz105⟩ Communication dans un congrès hal-02181793v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		VT Scan: Towards an Efficient Pipeline from Computed Tomography Images to Ventricular Tachycardia Ablation Nicolas Cedilnik , Josselin Duchateau , Rémi Dubois , Pierre Jaïs , Hubert Cochet , et al. Functional Imaging and Modelling of the Heart, Jun 2017, Toronto, Canada. pp.271-279, ⟨10.1007/978-3-319-59448-4_26⟩ Communication dans un congrès hal-01498672v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		SPADE: A Small Particle Detection Method Using A Dictionary Of Shapes Within The Marked Point Process Framework Nicolas Cedilnik , Eric Debreuve , Fabienne de Graeve , Florence Besse , Xavier Descombes IEEE International Symposium on Biomedical Imaging (ISBI), Apr 2018, Washington, DC, United States Poster de conférence hal-01867816v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		EP-Net: Learning Cardiac Electrophysiology Models for Physiology-based Constraints in Data-Driven Predictions Ibrahim Ayed , Nicolas Cedilnik , Patrick Gallinari , Maxime Sermesant FIMH 2019 - 10th International Conference on Functional Imaging of the Hearth, Jun 2019, Bordeaux, France. pp.55-63 Communication dans un congrès hal-02106618v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Meshless Electrophysiological Modeling of Cardiac Resynchronization Therapy—Benchmark Analysis with Finite-Element Methods in Experimental Data Carlos Albors , Èric Lluch , Juan Francisco Gomez , Nicolas Cedilnik , Konstantinos Mountris , et al. Applied Sciences, 2022, 12 (13), pp.6438. ⟨10.3390/app12136438⟩ Article dans une revue hal-03863600v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Weighted tissue thickness Nicolas Cedilnik , Jean-Marc Peyrat FIMH 2023 - 12th International Conference On Functional Imaging And Modeling Of The Heart, Jun 2023, Lyon, France Communication dans un congrès hal-04111276v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		3D MRI of explanted sheep hearts with submillimeter isotropic spatial resolution: comparison between diffusion tensor and structure tensor imaging Julie Magat , Valéry Ozenne , Nicolas Cedilnik , Jérôme Naulin , Kylian Haliot , et al. Magnetic Resonance Materials in Physics, Biology and Medicine, 2021, 34 (5), pp.741-755. ⟨10.1007/s10334-021-00913-4⟩ Article dans une revue hal-03346092v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Deep Learning Formulation of ECGI Integrating Image & Signal Information with Data-driven Regularisation Tania Bacoyannis , Buntheng Ly , Nicolas Cedilnik , Hubert Cochet , Maxime Sermesant EP-Europace, 2021, 23 (Supplement_1), pp.i55-i62. ⟨10.1093/europace/euaa391⟩ Article dans une revue hal-03268015v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Fast Personalized Electrophysiological Models from CT Images for Ventricular Tachycardia Ablation Planning Nicolas Cedilnik , Josselin Duchateau , Rémi Dubois , Frédéric Sacher , Pierre Jaïs , et al. EP-Europace, 2018, 20 Article dans une revue hal-01875533v3	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Automatic multiplanar CT reformatting from trans-axial into left ventricle short-axis view Marta Nuñez-Garcia , Nicolas Cedilnik , Shuman Jia , Maxime Sermesant , Hubert Cochet STACOM 2020 - 11th International Workshop on Statistical Atlases and Computational Models of the Heart, Oct 2020, Lima, Peru. p.108--116 Communication dans un congrès hal-02961500v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More

Filtrer vos résultats

An image based high throughput screen to identify regulators of Imp containing RNP granules

Fully Automated Electrophysiological Model Personalisation Framework from CT Imaging

SPADE: A Small Particle Detection Method Using A Dictionary Of Shapes Within The Marked Point Process Framework

EP-Net 2.0: Out-of-Domain Generalisation for Deep Learning Models of Cardiac Electrophysiology

Deep Learning Formulation of ECGI for Data-driven Integration of Spatiotemporal Correlations and Imaging Information

Are wall thickness channels defined by computed tomography predictive of isthmuses of postinfarction ventricular tachycardia?

Eikonal Model Personalisation using Invasive Data to Predict Cardiac Resynchronisation Therapy Electrophysiological Response

Image-based Personalised Models of Cardiac Electrophysiology for Ventricular Tachycardia Therapy Planning

Estimation of imaging biomarker's progression in post-infarct patients using cross-sectional data

Efficient Patient-Specific Simulations of Ventricular Tachycardia Based on Computed Tomography-Defined Wall Thickness Heterogeneity

Automatic non-invasive substrate analysis from CT images in post-infarction VT

VT Scan: Towards an Efficient Pipeline from Computed Tomography Images to Ventricular Tachycardia Ablation

SPADE: A Small Particle Detection Method Using A Dictionary Of Shapes Within The Marked Point Process Framework

EP-Net: Learning Cardiac Electrophysiology Models for Physiology-based Constraints in Data-Driven Predictions

Meshless Electrophysiological Modeling of Cardiac Resynchronization Therapy—Benchmark Analysis with Finite-Element Methods in Experimental Data

Weighted tissue thickness

3D MRI of explanted sheep hearts with submillimeter isotropic spatial resolution: comparison between diffusion tensor and structure tensor imaging

Deep Learning Formulation of ECGI Integrating Image & Signal Information with Data-driven Regularisation

Fast Personalized Electrophysiological Models from CT Images for Ventricular Tachycardia Ablation Planning

Automatic multiplanar CT reformatting from trans-axial into left ventricle short-axis view