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AuthorGalbusera, Fabiodc.contributor.author
AuthorBassani, Titodc.contributor.author
AuthorCosta, Francescodc.contributor.author
AuthorBrayda-Bruno, Marcodc.contributor.author
AuthorZerbi, Albertodc.contributor.author
AuthorWilke, Hans-Joachimdc.contributor.author
Date of accession2019-10-14T10:23:29Zdc.date.accessioned
Available in OPARU since2019-10-14T10:23:29Zdc.date.available
Date of first publication2018dc.date.issued
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
Dewey Decimal GroupDDC 610 / Medicine & healthdc.subject.ddc
Dewey Decimal GroupDDC 620 / Engineering & allied operationsdc.subject.ddc
TitleArtificial neural networks for the recognition of vertebral landmarks in the lumbar spinedc.title
Resource typeWissenschaftlicher Artikeldc.type
InstitutionUKU. Institut für Unfallchirurgische Forschung und Biomechanikuulm.affiliationSpecific
DCMI TypeTextuulm.typeDCMI
CategoryPublikationsnachweiseuulm.category
DOI (external)10.1080/21681163.2016.1261370dc.identifier.doiExternal
Source - Title of sourceComputer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualizationsource.title
Source - Place of publicationTaylor & Francissource.publisher
Source - Volume6source.volume
Source - Issue4, SIsource.issue
Source - Year2018source.year
Source - From page447source.fromPage
Source - To page452source.toPage
Source - ISSN2168-1163source.identifier.issn
Source - eISSN2168-1171source.identifier.eissn
FundingCentral Innovation Programme of the German Federal Ministry for Economic Affairs and Energy [ZK4145001CR5]uulm.funding
Suitable communityUniversitätsklinikum Ulmuulm.community
WoS000437479800010uulm.identifier.wos
University Bibliographyjauulm.unibibliographie


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