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dc.contributor.authorGONZALEZ, David
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 hal.structure.identifier
BORDEU, Felipe
10921 Institut de Recherche en Génie Civil et Mécanique [GeM]
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 hal.structure.identifier
LEYGUE, Adrien
10921 Institut de Recherche en Génie Civil et Mécanique [GeM]
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 hal.structure.identifier
AMMAR, Amine
211916 Laboratoire Angevin de Mécanique, Procédés et InnovAtion [LAMPA]
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 hal.structure.identifier
CUETO, Elias
10921 Institut de Recherche en Génie Civil et Mécanique [GeM]
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 hal.structure.identifier
CHINESTA, Francisco
10921 Institut de Recherche en Génie Civil et Mécanique [GeM]
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ALFARO, Icíar
161327 Aragón Institute of Engineering Research [Zaragoza] [I3A]
dc.date.accessioned2015
dc.date.available2015
dc.date.issued2014
dc.date.submitted2015
dc.identifier.urihttp://hdl.handle.net/10985/10254
dc.description.abstractSimulation of all phenomena taking place in a surgical procedure is a formidable task that involves, when possible, the use of supercomputing facilities over long time periods. However, decision taking in the operating room needs for fast methods that provide an accurate response in real time. To this end, Model Order Reduction (MOR) techniques have emerged recently in the field of Computational Surgery to help alleviate this burden. In this paper, we review the basics of classical MOR and explain how a technique recently developed by the authors and coined as Proper Generalized Decomposition could make real-time feedback available with the use of simple devices like smartphones or tablets. Examples are given on the performance of the technique for problems at different scales of the surgical procedure, form gene regulatory networks to macroscopic soft tissue deformation and cutting.
dc.description.sponsorshipThis work has been partially supported by the Spanish Ministry of Economy and Competitiveness under grant number CICYT-DPI2011-27778-C02-01. This support is gratefully acknowledged. Prof. Chinesta is also supported by the Institut Universitaire de France.
dc.language.isoen
dc.publisherSpringer Verlag
dc.rightsPost-print
dc.subjectModel Order Reduction
dc.subjectGene regulatory networks
dc.subjectSurgery simulation
dc.titleReal-time in silico experiments on gene regulatory networks and surgery simulation on handheld devices
dc.identifier.doi10.1186/2194-3990-1-1
dc.typdocArticle dans une revue avec comité de lecture
dc.localisationCentre de Angers
dc.subject.halSciences du vivant: ingénierie bio-médicale
ensam.audienceInternationale
ensam.page1-14
ensam.journalJournal of Computational Surgery
ensam.volume1
ensam.issue1
hal.identifierhal-01206921
hal.version1
hal.statusaccept
dc.identifier.eissn2194-3990


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