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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/96832
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dc.contributor.authorDowson, N.-
dc.contributor.authorBoult, M.-
dc.contributor.authorCowled, P.-
dc.contributor.authorDe Loryn, T.-
dc.contributor.authorFitridge, R.-
dc.date.issued2014-
dc.identifier.citationEuropean Journal of Vascular and Endovascular Surgery, 2014; 48(2):153-160-
dc.identifier.issn1078-5884-
dc.identifier.issn1532-2165-
dc.identifier.urihttp://hdl.handle.net/2440/96832-
dc.description.abstractAbstract not available-
dc.description.statementofresponsibilityN. Dowson, M. Boult, P. Cowled, T. De Loryn, R. Fitridge-
dc.language.isoen-
dc.publisherElsevier-
dc.rights© 2014 European Society for Vascular Surgery-
dc.source.urihttp://dx.doi.org/10.1016/j.ejvs.2014.04.033-
dc.subjectAbdominal aortic aneurysm-
dc.subjectEndovascular procedures-
dc.subjectTomography-
dc.subjectComputed-
dc.subjectScanners-
dc.subjectArterial tortuosity-
dc.subjectAnalysis-
dc.subjectComputer-assisted image-
dc.subjectImage interpretation-
dc.subjectComputer assisted-
dc.titleDevelopment of an automated measure of iliac artery tortuosity that successfully predicts early graft-related complications associated with endovascular aneurysm repair-
dc.typeJournal article-
dc.identifier.doi10.1016/j.ejvs.2014.04.033-
dc.relation.granthttp://purl.org/au-research/grants/nhmrc/565335-
pubs.publication-statusPublished-
dc.identifier.orcidBoult, M. [0000-0002-0517-9535]-
dc.identifier.orcidCowled, P. [0000-0002-4533-6320]-
dc.identifier.orcidFitridge, R. [0000-0001-6258-5997]-
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