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dc.contributor.authorArias-Valcayo, Fernando
dc.contributor.authorGalve, Pablo
dc.contributor.authorManuel Udías, Jose
dc.contributor.authorVaquero, Juan José
dc.contributor.authorDesco, Manuel 
dc.contributor.authorHerraiz, Joaquín L.
dc.date.accessioned2024-05-10T09:35:42Z
dc.date.available2024-05-10T09:35:42Z
dc.date.issued2023
dc.identifier.citationApplied Sciences. 2023; 13(22):12329.es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12105/19351
dc.description.sponsorshipThis work was supported by the Spanish Government (FASCINA PID2021-126998OBI00, NEWMBI CPP2021-008751, 3PET PDC2022-133057-I00), Comunidad de Madrid (ASAP-CM, S2022/BMD-7434), and the Recovery, Resilience, and Transformation Plan financed by the European Union through Next Generation EU funds. This work was also supported by the Spanish Ministry of Economic Affairs and Digital Transformation (Project MIA.2021.M02.0005 TARTAGLIA, from the Recovery, Resilience, and Transformation Plan financed by the European Union through Next Generation EU funds). TARTAGLIA takes place under the R&D Missions in Artificial Intelligence program, which is part of the Spain Digital 2025 Agenda and the Spanish National Artificial Intelligence Strategy. P. G. also acknowledges support from the Margarita Salas Fellowship, CT18/22 at Complutense University of Madrid, funded by the European Union-Next-GenerationUE funds.es_ES
dc.language.isoenges_ES
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI) es_ES
dc.type.hasVersionVoRes_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleOptimizing Point Source Tracking in Awake Rat PET Imaging: A Comprehensive Study of Motion Detection and Best Correction Conditionses_ES
dc.typejournal articlees_ES
dc.rights.licenseAtribución 4.0 Internacional*
dc.format.volume13es_ES
dc.format.number22es_ES
dc.format.page12329es_ES
dc.identifier.doi10.3390/app132212329es_ES
dc.contributor.funderComunidad de Madrid (España) es_ES
dc.contributor.funderUnión Europea. Comisión Europea. NextGenerationEU es_ES
dc.description.peerreviewedSíes_ES
dc.identifier.e-issn2076-3417es_ES
dc.relation.publisherversion10.3390/app132212329es_ES
dc.identifier.journalApplied Scienceses_ES
dc.repisalud.orgCNICCNIC::Unidades técnicas::Imagen Avanzadaes_ES
dc.repisalud.institucionCNICes_ES
dc.rights.accessRightsopen accesses_ES


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Atribución 4.0 Internacional
Este Item está sujeto a una licencia Creative Commons: Atribución 4.0 Internacional