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dc.contributorVall d'Hebron Barcelona Hospital Campus
dc.contributor.authorRicciardi, Antonio
dc.contributor.authorKanber, Baris
dc.contributor.authorPrados, Ferran
dc.contributor.authorYiannakas, Marios
dc.contributor.authorSolanky, Bhavana
dc.contributor.authorGrussu, Francesco
dc.date.accessioned2023-04-27T09:45:16Z
dc.date.available2023-04-27T09:45:16Z
dc.date.issued2023-03-23
dc.identifier.citationRicciardi A, Grussu F, Kanber B, Prados F, Yiannakas MC, Solanky BS, et al. Patterns of inflammation, microstructural alterations, and sodium accumulation define multiple sclerosis subtypes after 15 years from onset. Front Neuroinform. 2023 Mar 23;17:1060511.
dc.identifier.issn1662-5196
dc.identifier.urihttps://hdl.handle.net/11351/9431
dc.descriptionRessonància magnètica; Aprenentatge automàtic; Esclerosi múltiple
dc.description.sponsorshipThis project has received funding under the European Union's Horizon 2020 Research and Innovation Programme under grant agreement No. 634541. FG received the support of a fellowship from “la Caixa” Foundation (ID 100010434). The fellowship code is “LCF/BQ/PR22/11920010”. FG has also received support from the Beatriu de Pinós (2020 BP 00117) programme, funded by the Secretary of Universities and Research (Government of Catalonia). BK, FP, and OC are supported by the National Institute of Health Research Biomedical Research Centre at UCL and UCLH. EPSRC grants EP/M020533/1 and EP/J020990/01, MRC MR/T046422/1 and MR/T046473/1, Wellcome Trust award 221915/Z/20/Z, and the NIHR UCLH BRC support DCA's work in this area. CGWK also receives funding from Horizon 2020 [Research and Innovation Action Grants Human Brain Project 945539 (SGA3)], BRC (#BRC704/CAP/CGW), MRC (#MR/S026088/1), and Ataxia UK.
dc.language.isoeng
dc.publisherFrontiers Media
dc.relation.ispartofseriesFrontiers in Neuroinformatics;17
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceScientia
dc.subjectEsclerosi múltiple - Imatgeria per ressonància magnètica
dc.subjectAprenentatge automàtic
dc.subject.meshMultiple Sclerosis
dc.subject.meshMagnetic Resonance Imaging
dc.subject.meshMachine Learning
dc.titlePatterns of inflammation, microstructural alterations, and sodium accumulation define multiple sclerosis subtypes after 15 years from onset
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.3389/fninf.2023.1060511
dc.subject.decsesclerosis múltiple
dc.subject.decsimagen por resonancia magnética
dc.subject.decsaprendizaje automático
dc.relation.publishversionhttps://doi.org/10.3389/fninf.2023.1060511
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.audienceProfessionals
dc.contributor.organismesInstitut Català de la Salut
dc.contributor.authoraffiliation[Ricciardi A, Yiannakas MC, Solanky BS] NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom. [Grussu F] NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom. Radiomics Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain. [Kanber B] NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom. Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom. [Prados F] NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom. Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom. eHealth Center, Universitat Oberta de Catalunya, Barcelona, Spain
dc.identifier.pmid37035717
dc.identifier.wos000963184100001
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/634541
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess


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