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Predicting Infant Cortical Surface Development Using a 4D Varifold-based Learning Framework and Local Topography-based Shape Morphing (vol 28, pg 1, 2016)

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dc.contributor.authorRekik, Islem-
dc.contributor.authorLi, Gang-
dc.contributor.authorLin, Weili-
dc.contributor.authorShen, Dinggang-
dc.date.accessioned2021-09-03T10:37:13Z-
dc.date.available2021-09-03T10:37:13Z-
dc.date.created2021-06-16-
dc.date.issued2017-02-
dc.identifier.issn1361-8415-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/84839-
dc.languageEnglish-
dc.language.isoen-
dc.publisherELSEVIER SCIENCE BV-
dc.titlePredicting Infant Cortical Surface Development Using a 4D Varifold-based Learning Framework and Local Topography-based Shape Morphing (vol 28, pg 1, 2016)-
dc.typeArticle-
dc.contributor.affiliatedAuthorShen, Dinggang-
dc.identifier.doi10.1016/j.media.2016.10.006-
dc.identifier.scopusid2-s2.0-84992524662-
dc.identifier.wosid000393247900001-
dc.identifier.bibliographicCitationMEDICAL IMAGE ANALYSIS, v.36, pp.1 - 1-
dc.relation.isPartOfMEDICAL IMAGE ANALYSIS-
dc.citation.titleMEDICAL IMAGE ANALYSIS-
dc.citation.volume36-
dc.citation.startPage1-
dc.citation.endPage1-
dc.type.rimsART-
dc.type.docTypeCorrection-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaRadiology, Nuclear Medicine & Medical Imaging-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.relation.journalWebOfScienceCategoryComputer Science, Interdisciplinary Applications-
dc.relation.journalWebOfScienceCategoryEngineering, Biomedical-
dc.relation.journalWebOfScienceCategoryRadiology, Nuclear Medicine & Medical Imaging-
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