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Article: Prediction of myelopathic level in cervical spondylotic myelopathy using diffusion tensor imaging

TitlePrediction of myelopathic level in cervical spondylotic myelopathy using diffusion tensor imaging
Authors
Keywordscervical spondylotic myelopathy
diffusion tensor imaging
eigenvalue
fractional anisotropy
machine learning
spinal cord
Issue Date2015
PublisherJohn Wiley & Sons, Inc. The Journal's web site is located at http://www.interscience.wiley.com/jpages/1053-1807/
Citation
Journal of Magnetic Resonance Imaging, 2015, v. 41 n. 6, p. 1682-1688 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/213825
ISSN
2023 Impact Factor: 3.3
2023 SCImago Journal Rankings: 1.339
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorWang, SQ-
dc.contributor.authorLi, X-
dc.contributor.authorCui, JL-
dc.contributor.authorLi, HX-
dc.contributor.authorLuk, KDK-
dc.contributor.authorHu, Y-
dc.date.accessioned2015-08-19T04:47:43Z-
dc.date.available2015-08-19T04:47:43Z-
dc.date.issued2015-
dc.identifier.citationJournal of Magnetic Resonance Imaging, 2015, v. 41 n. 6, p. 1682-1688-
dc.identifier.issn1053-1807-
dc.identifier.urihttp://hdl.handle.net/10722/213825-
dc.languageeng-
dc.publisherJohn Wiley & Sons, Inc. The Journal's web site is located at http://www.interscience.wiley.com/jpages/1053-1807/-
dc.relation.ispartofJournal of Magnetic Resonance Imaging-
dc.rightsJournal of Magnetic Resonance Imaging. Copyright © John Wiley & Sons, Inc.-
dc.rightsThis is a preprint of an article published in Journal of Magnetic Resonance Imaging, 2015, v. 41 n. 6, p. 1682-1688.-
dc.subjectcervical spondylotic myelopathy-
dc.subjectdiffusion tensor imaging-
dc.subjecteigenvalue-
dc.subjectfractional anisotropy-
dc.subjectmachine learning-
dc.subjectspinal cord-
dc.titlePrediction of myelopathic level in cervical spondylotic myelopathy using diffusion tensor imaging-
dc.typeArticle-
dc.identifier.emailLuk, KDK: hrmoldk@hkucc.hku.hk-
dc.identifier.emailHu, Y: yhud@hku.hk-
dc.identifier.authorityLuk, KDK=rp00333-
dc.identifier.authorityHu, Y=rp00432-
dc.description.naturepostprint-
dc.identifier.doi10.1002/jmri.24709-
dc.identifier.pmid25044870-
dc.identifier.scopuseid_2-s2.0-84930041092-
dc.identifier.hkuros247328-
dc.identifier.hkuros246630-
dc.identifier.volume41-
dc.identifier.issue6-
dc.identifier.spage1682-
dc.identifier.epage1688-
dc.identifier.isiWOS:000354738100023-
dc.publisher.placeUnited States-
dc.identifier.issnl1053-1807-

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