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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/106968
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dc.contributor.authorTan, L.-
dc.contributor.authorLiew, Y.-
dc.contributor.authorLim, E.-
dc.contributor.authorMcLaughlin, R.-
dc.date.issued2017-
dc.identifier.citationMedical Image Analysis, 2017; 39:78-86-
dc.identifier.issn1361-8415-
dc.identifier.issn1361-8423-
dc.identifier.urihttp://hdl.handle.net/2440/106968-
dc.description.abstractAbstract not available-
dc.description.statementofresponsibilityLi Kuo Tan, Yih Miin Liew, Einly Lim, Robert A. McLaughlin-
dc.language.isoen-
dc.publisherElsevier-
dc.rights© 2017 Elsevier B.V. All rights reserved.-
dc.source.urihttp://dx.doi.org/10.1016/j.media.2017.04.002-
dc.subjectHeart Ventricles-
dc.subjectHumans-
dc.subjectImage Interpretation, Computer-Assisted-
dc.subjectMagnetic Resonance Imaging, Cine-
dc.subjectRegression Analysis-
dc.subjectReproducibility of Results-
dc.subjectMachine Learning-
dc.subjectNeural Networks, Computer-
dc.titleConvolutional neural network regression for short-axis left ventricle segmentation in cardiac cine MR sequences-
dc.typeJournal article-
dc.identifier.doi10.1016/j.media.2017.04.002-
dc.relation.grantARC-
pubs.publication-statusPublished-
dc.identifier.orcidMcLaughlin, R. [0000-0001-6947-5061]-
Appears in Collections:Aurora harvest 3
Medicine publications

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