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dc.contributor.authorHagenah, J.
dc.contributor.authorScharfschwerdt, M.
dc.contributor.authorSchlaefer, A.
dc.contributor.authorMetzner, C.
dc.date.accessioned2016-03-31T13:22:46Z
dc.date.available2016-03-31T13:22:46Z
dc.date.issued2015-09
dc.identifier.citationHagenah , J , Scharfschwerdt , M , Schlaefer , A & Metzner , C 2015 , ' A machine learning approach for planning valve-sparing aortic root reconstruction ' , Current Directions in Biomedical Engineering , vol. 1 , no. 1 , pp. 361-365 . https://doi.org/10.1515/cdbme-2015-0089
dc.identifier.otherPURE: 9913773
dc.identifier.otherPURE UUID: a7a315db-d700-407e-af63-f009ad7263b3
dc.identifier.otherBibtex: urn:63277ad94aafea510690fb116a7c847d
dc.identifier.urihttp://hdl.handle.net/2299/16870
dc.language.isoeng
dc.relation.ispartofCurrent Directions in Biomedical Engineering
dc.titleA machine learning approach for planning valve-sparing aortic root reconstructionen
dc.contributor.institutionDepartment of Computer Science
dc.contributor.institutionSchool of Engineering and Computer Science
dc.description.statusPeer reviewed
dc.relation.schoolSchool of Engineering and Computer Science
dcterms.dateAccepted2015-09
rioxxterms.versionofrecordhttps://doi.org/10.1515/cdbme-2015-0089
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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