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dc.rights.licenseAttribution 4.0 International
dc.contributor.authorAntúnez Sáenz, Itxasne
dc.contributor.authorAlberdi Aramendi, Ane
dc.contributor.authorDunaway, David|Ong, Juling
dc.contributor.authorDeliège, Lara
dc.contributor.authorSáenz, Amparo
dc.contributor.authorAhmadi Birjandi, Anita
dc.contributor.authorJeelani, Noor UI Owase
dc.contributor.authorSchievano, Silvia
dc.contributor.authorBorghi, Alessandro
dc.date.accessioned2026-04-20T07:21:52Z
dc.date.available2026-04-20T07:21:52Z
dc.date.issued2025
dc.identifier.issn1932-6203
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=200623
dc.identifier.urihttps://hdl.handle.net/20.500.11984/14308
dc.format.extent18 p.
dc.language.isoeng
dc.publisherPlos
dc.rights© 2025 The Authors
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectODS 3 Salud y bienestar
dc.titleA combined machine learning and finite element modelling tool for the surgical planning of craniosynostosis correction
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2
dcterms.sourcePlos One
local.contributor.groupAnálisis de datos y ciberseguridad
local.description.peerreviewedtrue
local.identifier.doihttps://doi.org/10.1371/journal.pone.0336473
local.contributor.otherinstitutionhttps://ror.org/00wvqgd19
local.contributor.otherinstitutionhttps://ror.org/00zn2c847
local.contributor.otherinstitutionhttps://ror.org/01v29qb04
local.source.detailsDecember 2025
oaire.format.mimetypeapplication/pdf
oaire.file$DSPACE\assetstore
oaire.resourceTypehttp://purl.org/coar/resource_type/c_6501
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
dc.unesco.tesaurohttp://vocabularies.unesco.org/thesaurus/concept2214
dc.unesco.clasificacionhttp://skos.um.es/unesco6/120903


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Attribution 4.0 International
Except where otherwise noted, this item's license is described as Attribution 4.0 International