N
Nicholas Ayache
Researcher at French Institute for Research in Computer Science and Automation
Publications - 639
Citations - 47063
Nicholas Ayache is an academic researcher from French Institute for Research in Computer Science and Automation. The author has contributed to research in topics: Segmentation & Image registration. The author has an hindex of 97, co-authored 624 publications receiving 43140 citations. Previous affiliations of Nicholas Ayache include University of Las Palmas de Gran Canaria & Mauna Kea Technologies.
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Journal ArticleDOI
Image-Based Biophysical Simulation of Intracardiac Abnormal Ventricular Electrograms
Rocio Cabrera-Lozoya,Benjamin Berte,Hubert Cochet,Pierre Jaïs,Nicholas Ayache,Maxime Sermesant +5 more
TL;DR: The feasibility of coupling simplified cardiac EP models with imaging data to generate intracardiac EMG is demonstrated, a step forward in the direction of the preoperative and noninvasive identification of ablation targets to guide RFA therapy.
Book ChapterDOI
Regional flux analysis of longitudinal atrophy in alzheimer's disease
TL;DR: This study provides a new measure of the brain longitudinal changes based on the Helmholtz decomposition of deformation fields that is able to detect the differential atrophy patterns across populations, and leads to precise and statistically powered quantifications of the longitudinal changes in AD.
Cardiac Motion Recovery by Coupling an Electromechanical Model and Cine-MRI Data: First Steps
TL;DR: It is shown that the coupling approach allows us to recover some tangential component of the ventricles motion which cannot be obtained from classical geometrical tracking approaches due to the aperture problem.
Journal ArticleDOI
Regional flux analysis for discovering and quantifying anatomical changes: An application to the brain morphometry in Alzheimer's disease
TL;DR: The regional flux analysis is introduced, a novel approach to deformation based morphometry based on the Helmholtz decomposition of deformations parameterized by stationary velocity fields that unifies voxel-based and regional approaches, and robustly describes the volume changes at both group-wise and subject-specific level as a spatial process governed by consistently defined regions.
Book ChapterDOI
Virtual Pulmonary Valve Replacement Interventions with a Personalised Cardiac Electromechanical Model
Tommaso Mansi,Barbara André,Barbara André,Michael D. Lynch,Maxime Sermesant,Hervé Delingette,Younes Boudjemline,Nicholas Ayache +7 more
TL;DR: This chapter proposes a framework where an electromechanical model of the heart is personalised from clinical MR images and used to simulate the effects of PVR upon the cardiac function and volume reduction surgery is simulated in real time by interactively cutting, moving and joining parts of the anatomical model.