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Neuroharmony: A new tool for harmonizing volumetric MRI data from unseen scanners.

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dc.contributor.authorGarcia-Dias, Rafael
dc.contributor.authorScarpazza, Cristina
dc.contributor.authorBaecker, Lea
dc.contributor.authorVieira, Sandra
dc.contributor.authorPinaya, Walter H L
dc.contributor.authorCorvin, Aiden
dc.contributor.authorRedolfi, Alberto
dc.contributor.authorNelson, Barnaby
dc.contributor.authorCrespo-Facorro, Benedicto
dc.contributor.authorMcDonald, Colm
dc.contributor.authorTordesillas-Gutiérrez, Diana
dc.contributor.authorCannon, Dara
dc.contributor.authorMothersill, David
dc.contributor.authorHernaus, Dennis
dc.contributor.authorMorris, Derek
dc.contributor.authorSetien-Suero, Esther
dc.contributor.authorDonohoe, Gary
dc.contributor.authorFrisoni, Giovanni
dc.contributor.authorTronchin, Giulia
dc.contributor.authorSato, João
dc.contributor.authorMarcelis, Machteld
dc.contributor.authorKempton, Matthew
dc.contributor.authorvan Haren, Neeltje E M
dc.contributor.authorGruber, Oliver
dc.contributor.authorMcGorry, Patrick
dc.contributor.authorAmminger, Paul
dc.contributor.authorMcGuire, Philip
dc.contributor.authorGong, Qiyong
dc.contributor.authorKahn, René S
dc.contributor.authorAyesa-Arriola, Rosa
dc.contributor.authorvan Amelsvoort, Therese
dc.contributor.authorOrtiz-García de la Foz, Victor
dc.contributor.authorCalhoun, Vince
dc.contributor.authorCahn, Wiepke
dc.contributor.authorMechelli, Andrea
dc.date.accessioned2023-02-09T09:36:31Z
dc.date.available2023-02-09T09:36:31Z
dc.date.issued2020-07-04
dc.description.abstract• We present Neuroharmony, a harmonization tool for images from unseen scanners. • We developed Neuroharmony using a total of 15,026 sMRI images. • The tool was able to reduce scanner-related bias from unseen scans. • Neuroharmony represents a significant step towards imaging-based clinical tools. • Neuroharmony is available at https://github.com/garciadias/Neuroharmony.
dc.identifier.doi10.1016/j.neuroimage.2020.117127
dc.identifier.essn1095-9572
dc.identifier.pmcPMC7573655
dc.identifier.pmid32634595
dc.identifier.pubmedURLhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7573655/pdf
dc.identifier.unpaywallURLhttps://doi.org/10.1016/j.neuroimage.2020.117127
dc.identifier.urihttp://hdl.handle.net/10668/15889
dc.journal.titleNeuroImage
dc.journal.titleabbreviationNeuroimage
dc.language.isoen
dc.organizationInstituto de Biomedicina de Sevilla-IBIS
dc.organizationHospital Universitario Virgen del Rocío
dc.page.number117127
dc.pubmedtypeJournal Article
dc.pubmedtypeResearch Support, N.I.H., Extramural
dc.pubmedtypeResearch Support, Non-U.S. Gov't
dc.pubmedtypeResearch Support, U.S. Gov't, Non-P.H.S.
dc.rightsAttribution 4.0 International
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.meshAdolescent
dc.subject.meshAdult
dc.subject.meshAged
dc.subject.meshBrain
dc.subject.meshFemale
dc.subject.meshHumans
dc.subject.meshImage Processing, Computer-Assisted
dc.subject.meshMachine Learning
dc.subject.meshMagnetic Resonance Imaging
dc.subject.meshMale
dc.subject.meshMiddle Aged
dc.subject.meshNeuroimaging
dc.subject.meshSoftware
dc.subject.meshYoung Adult
dc.titleNeuroharmony: A new tool for harmonizing volumetric MRI data from unseen scanners.
dc.typeresearch article
dc.type.hasVersionVoR
dc.volume.number220
dspace.entity.typePublication

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