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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Patent
Image processing device and method for detecting developing lesions
TL;DR: In this paper, an image processing device, including an input for receiving a time series of data sets representing comparable volume digital images, each data having a position component and an intensity component, was described.
Journal ArticleDOI
Differentiation of sCJD and vCJD forms by automated analysis of basal ganglia intensity distribution in multisequence MRI of the brain-definition and evaluation of new MRI-based ratios
Marius George Linguraru,Nicholas Ayache,Eric Bardinet,Miguel Ángel González Ballester,Damien Galanaud,Stéphane Haïk,Baptiste Faucheux,Jean-Jacques Hauw,Patrick J. Cozzone,Didier Dormont,Jean-Philippe Brandel +10 more
TL;DR: Defining normalized MRI measures of the intensity relations between the internal grey nuclei of patients, sCJD and variant CJD patients are robustly differentiated in an attempt to create an automatic classification tool of human spongiform encephalopathy.
Book ChapterDOI
Parameter Estimation for Personalization of Liver Tumor Radiofrequency Ablation
Chloé Audigier,Chloé Audigier,Tommaso Mansi,Hervé Delingette,Saikiran Rapaka,Viorel Mihalef,Daniel Carnegie,Emad M. Boctor,Michael A. Choti,Ali Kamen,Dorin Comaniciu,Nicholas Ayache +11 more
TL;DR: A framework for patient-specific radiofrequency ablation modeling of multiple lesions in the case of metastatic diseases based upon a computational model of heat diffusion, cellular necrosis and blood flow through vessels and liver which relies on patient images is presented.
Journal ArticleDOI
A Grid Service for the Interactive Use of a Parallel Non-rigid Registration Algorithm of Medical Images
TL;DR: A registration grid service is built in order to use the interactivity of a visualization workstation and the computing power of a cluster to improve the usability of a non-rigid registration software for medical images.
Book ChapterDOI
Learning Myelin Content in Multiple Sclerosis from Multimodal MRI through Adversarial Training
Wen Wei,Emilie Poirion,Benedetta Bodini,Stanley Durrleman,Nicholas Ayache,Bruno Stankoff,Olivier Colliot +6 more
TL;DR: The evaluation results show that the demyelination in lesion regions and myelin content in normal-appearing white matter (NAWM) can be well predicted by the proposed Sketcher-Refiner Generative Adversarial Networks, and the method has the potential to become a useful tool for clinical management of patients with MS.