Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/29925
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dc.contributor.authorMcMaster, Christopher-
dc.contributor.authorLiew, David F L-
dc.contributor.authorLiu, Bonnia-
dc.contributor.authorSchachna, Lionel-
dc.date2022-
dc.date.accessioned2022-06-22T06:40:43Z-
dc.date.available2022-06-22T06:40:43Z-
dc.date.issued2022-04-13-
dc.identifier.citationRheumatology (Oxford, England) 2022; 61(10): e316-e317en
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/29925-
dc.language.isoeng-
dc.titleComment on: Deep learning algorithms for magnetic resonance imaging of inflammatory sacroiliitis in axial spondyloarthritis.en
dc.typeJournal Articleen
dc.identifier.journaltitleRheumatology (Oxford, England)en
dc.identifier.affiliationRheumatologyen
dc.identifier.affiliationMolecular Imaging and Therapyen
dc.identifier.affiliationClinical Pharmacology and Therapeuticsen
dc.identifier.affiliationDepartment of Medicine, University of Melbourne, Parkville VIC 3052, Australiaen
dc.identifier.affiliationThe Centre for Digital Transformation of Health, University of Melbourne, Parkville, VIC, 3052, Australiaen
dc.identifier.pubmedurihttps://pubmed.ncbi.nlm.nih.gov/35416954/en
dc.identifier.doi10.1093/rheumatology/keac215en
dc.type.contentTexten
dc.identifier.orcid0000-0003-2432-5451en
dc.identifier.orcid0000-0001-8451-8883en
dc.identifier.orcid0000-0001-6796-7134en
dc.identifier.orcid0000-0002-5189-9912en
dc.identifier.pubmedid35416954-
local.name.researcherLiew, David F L
item.grantfulltextnone-
item.openairetypeJournal Article-
item.languageiso639-1en-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.deptClinical Pharmacology and Therapeutics-
crisitem.author.deptRheumatology-
crisitem.author.deptClinical Pharmacology and Therapeutics-
crisitem.author.deptRheumatology-
crisitem.author.deptRheumatology-
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