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.
Papers
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Book ChapterDOI
Sparse Bayesian Non-linear Regression for Multiple Onsets Estimation in Non-invasive Cardiac Electrophysiology
Sophie Giffard-Roisin,Hervé Delingette,Tom Jackson,Lauren Fovargue,Jack Lee,C. Aldo Rinaldi,Nicholas Ayache,Reza Razavi,Maxime Sermesant +8 more
TL;DR: A sparse Bayesian kernel-based regression (relevance vector machine, RVM) from a large patient-specific simulated database is proposed for estimating cardiac activation maps and demonstrates the usefulness of this non-linear approach.
Patent
Method and System for Measuring the Speed of Blood Flow
TL;DR: In this paper, a method for measuring the speed of a red blood cell moving inside a flow such as a flow of the blood, using a light scanning microscope, was proposed. But the method was not suitable for the detection of the red blood cells.
Book ChapterDOI
Characterization of Post-infarct Scars in a Porcine Model --- A Combined Experimental and Theoretical Study
Mihaela Pop,Maxime Sermesant,Tommaso Mansi,Eugene Crystal,Jay Detsky,Yuesong Yang,Paul Fefer,Elliot R. McVeigh,Alexander Dick,Nicholas Ayache,Graham A. Wright +10 more
TL;DR: The main purpose of this work was to characterize the infarct scars using in vivo electro-anatomic CARTO maps (recorded in sinus rhythm) and high-resolution ex-vivo MR images in a porcine model of chronicinfarct.
FLAIR MR Image Synthesis By Using 3D Fully Convolutional Networks for Multiple Sclerosis
Wen Wei,Emilie Poirion,Benedetta Bodini,Stanley Durrleman,Olivier Colliot,Bruno Stankoff,Nicholas Ayache +6 more
TL;DR: 3D fully convolutional neural networks are proposed to predict a FLAIR MRI pulse sequence from other MRI pulse sequences and both the qualitative and quantitative results show that the method is competitive for FLAIR prediction.
Journal ArticleDOI
Applications of artificial intelligence in cardiovascular imaging.
TL;DR: In this paper, the authors discuss the clinical questions in cardiovascular imaging that AI can be used to address and the principal methodological AI approaches that have been developed to solve the related image analysis problems.