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dc.contributor.author | Menchón Lara, Rosa María | |
dc.contributor.author | Simmross Wattenberg, Federico Jesús | |
dc.contributor.author | Rodríguez Cayetano, Manuel | |
dc.contributor.author | Casaseca de la Higuera, Juan Pablo | |
dc.contributor.author | Martín Fernández, Miguel Angel | |
dc.contributor.author | Alberola López, Carlos | |
dc.date.accessioned | 2023-05-08T08:41:06Z | |
dc.date.available | 2023-05-08T08:41:06Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Signal Processing, 2023, vol. 210, 109093 | es |
dc.identifier.issn | 0165-1684 | es |
dc.identifier.uri | https://uvadoc.uva.es/handle/10324/59528 | |
dc.description | Producción Científica | es |
dc.description.abstract | Recently, an efficient implementation of convolution-based free form deformations (FFD) has been proposed for both groupwise 3D monomodal and 2D pairwise multimodal registrations. However, there is still an unmet need in the field for groupwise -D multimodal registration with L > 2. In this correspondence, we address this need and present a solution for achieving accurate registration using two popular metrics: Renyi entropy and PCA2. | es |
dc.format.mimetype | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Image Processing and Computer Vision | es |
dc.subject | Computer Imaging, Vision, Pattern Recognition and Graphics | es |
dc.subject.classification | Free-form deformation | es |
dc.subject.classification | Multimodal images | es |
dc.subject.classification | Registration | es |
dc.subject.classification | Convolution | es |
dc.subject.classification | Deformación de forma libre | es |
dc.subject.classification | Imágenes de multimodal | es |
dc.subject.classification | Registro | es |
dc.subject.classification | Circunvolución | es |
dc.title | Convolution-based free-form deformation for multimodal groupwise registration | es |
dc.type | info:eu-repo/semantics/article | es |
dc.rights.holder | © 2023 The Authors | es |
dc.identifier.doi | 10.1016/j.sigpro.2023.109093 | es |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0165168423001676?via%3Dihub | es |
dc.identifier.publicationfirstpage | 109093 | es |
dc.identifier.publicationtitle | Signal Processing | es |
dc.peerreviewed | SI | es |
dc.description.project | Ministerio de Economía, Industria y Competitividad (TEC2017-82408-R and PID2020-115339RB-I00) | es |
dc.description.project | ESAOTE Ltd. (18IQBM) | es |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.type.hasVersion | info:eu-repo/semantics/publishedVersion | es |
dc.subject.unesco | 3325 Tecnología de las Telecomunicaciones | es |
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