Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/29925
Title: Comment on: Deep learning algorithms for magnetic resonance imaging of inflammatory sacroiliitis in axial spondyloarthritis.
Austin Authors: McMaster, Christopher ;Liew, David F L ;Liu, Bonnia ;Schachna, Lionel 
Affiliation: Rheumatology
Molecular Imaging and Therapy
Clinical Pharmacology and Therapeutics
Department of Medicine, University of Melbourne, Parkville VIC 3052, Australia
The Centre for Digital Transformation of Health, University of Melbourne, Parkville, VIC, 3052, Australia
Issue Date: 13-Apr-2022
metadata.dc.date: 2022
Publication information: Rheumatology (Oxford, England) 2022; 61(10): e316-e317
URI: https://ahro.austin.org.au/austinjspui/handle/1/29925
DOI: 10.1093/rheumatology/keac215
ORCID: 0000-0003-2432-5451
0000-0001-8451-8883
0000-0001-6796-7134
0000-0002-5189-9912
Journal: Rheumatology (Oxford, England)
PubMed URL: 35416954
PubMed URL: https://pubmed.ncbi.nlm.nih.gov/35416954/
Type: Journal Article
Appears in Collections:Journal articles

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