Nicolas Cedilnik

According to our database, Nicolas Cedilnik authored at least 10 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Weighted Tissue Thickness.

Nicolas Cedilnik, Jean-Marc Peyrat

Proceedings of the Functional Imaging and Modeling of the Heart, 2023

2021

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

Proceedings of the Functional Imaging and Modeling of the Heart, 2021

2020

Image-based Personalised Models of Cardiac Electrophysiology for Ventricular Tachycardia Therapy Planning. (Personnalisation basée sur l'imagerie de modèles cardiaques électrophysiologiques pour la planification du traitement de la tachycardie ventriculaire).

Nicolas Cedilnik

PhD thesis, 2020

Automatic Multiplanar CT Reformatting from Trans-Axial into Left Ventricle Short-Axis View.

Marta Nuñez Garcia, Nicolas Cedilnik, Shuman Jia, Maxime Sermesant, Hubert Cochet

Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

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, Maxime Sermesant

Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

2019

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

Nicolas Cedilnik, Maxime Sermesant

Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019

Fully Automated Electrophysiological Model Personalisation Framework from CT Imaging.

Nicolas Cedilnik, Josselin Duchateau, Frédéric Sacher, Pierre Jaïs, Hubert Cochet, Maxime Sermesant

Proceedings of the Functional Imaging and Modeling of the Heart, 2019

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

Proceedings of the Functional Imaging and Modeling of the Heart, 2019

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

Ibrahim Ayed, Nicolas Cedilnik, Patrick Gallinari, Maxime Sermesant

Proceedings of the Functional Imaging and Modeling of the Heart, 2019

2017

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

Nicolas Cedilnik, Josselin Duchateau, Rémi Dubois, Pierre Jaïs, Hubert Cochet, Maxime Sermesant

Proceedings of the Functional Imaging and Modelling of the Heart, 2017