Author Correction: Predicting Alzheimer’s disease progression using multi-modal deep learning approach

dc.contributor.authorLee, Garam
dc.contributor.authorNho, Kwangsik
dc.contributor.authorKang, Byungkon
dc.contributor.authorSohn, Kyung‑Ah
dc.contributor.authorKim, Dokyoon
dc.contributor.authorAlzheimer’s Disease Neuroimaging Initiative
dc.contributor.departmentRadiology and Imaging Sciences, School of Medicine
dc.date.accessioned2024-03-01T14:08:41Z
dc.date.available2024-03-01T14:08:41Z
dc.date.issued2023-08-01
dc.description.abstractCorrection to: Scientific Reports 10.1038/s41598-018-37769-z, published online 13 February 2019 This Article contains errors. A Supplementary Information file was omitted from the original version of this Article. The Supplementary Information file is now linked to this correction notice.
dc.eprint.versionFinal published version
dc.identifier.citationLee G, Nho K, Kang B, Sohn KA, Kim D; Alzheimer’s Disease Neuroimaging Initiative. Author Correction: Predicting Alzheimer's disease progression using multi-modal deep learning approach. Sci Rep. 2023;13(1):12466. Published 2023 Aug 1. doi:10.1038/s41598-023-39138-x
dc.identifier.urihttps://hdl.handle.net/1805/38999
dc.language.isoen_US
dc.publisherSpringer Nature
dc.relation.isversionof10.1038/s41598-023-39138-x
dc.relation.journalScientific Reports
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourcePMC
dc.subjectAlzheimer's disease (AD)
dc.subjectMild cognitive impairment (MCI)
dc.subjectNeuroimaging biomarkers
dc.subjectCerebrospinal fluid (CSF)
dc.titleAuthor Correction: Predicting Alzheimer’s disease progression using multi-modal deep learning approach
dc.typeArticle
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