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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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Book ChapterDOI

An Electro-mechanical Model of the Heart for Cardiac Image Analysis

TL;DR: A simple electro-mechanical model of the heart is derived to best fit available cardiac images, based on anisotropic linear elasticity and the finite-element discretisation of the FitzHugh-Nagumo electric wave-propagation model.
Book ChapterDOI

Bayesian personalization of brain tumor growth model

TL;DR: A method for conducting the Bayesian personalization of the tumor growth model parameters, based on a highly parallelized implementation of the reaction-diffusion equation, and the Gaussian Process Hamiltonian Monte Carlo, a high acceptance rate Monte Carlo technique.
Book ChapterDOI

Sparse Approximation of Currents for Statistics on Curves and Surfaces

TL;DR: This work proposes to find an adapted basis on which mean and principal modes of a set of shapes have a sparse decomposition and offers a way to visualize and interpret statistics on currents.
Book ChapterDOI

Automatic trinocular 3D reconstruction of coronary artery centerlines from rotational X-ray angiography

TL;DR: In this paper, the authors presented a method for fully automatic 3D reconstruction of coronary artery centerlines using three X-ray angiogram projections from a single rotating monoplane acquisition.
Journal ArticleDOI

Combined Diffusion Imaging and MR Spectroscopy in the Diagnosis of Human Prion Diseases

TL;DR: MRS combined with other MR imaging is of interest in the diagnosis of TSE and provides useful information for understanding physiopathologic processes underlying prion diseases.