Three-dimensional morphological and signal intensity feature…

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2013

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DOI 10.1136/amiajnl-2012-001547
PMID https://pubmed.ncbi.nlm.nih.gov/23813538
PMCID https://www.ncbi.nlm.nih.gov/pmc/articles/3822117
OpenAlex ID W1537832901
Type Article
Language EN
Published 29 Jun 2013
Volume 20 (6)
Pages 1082–1090
Source Journal of the American Medical Informat…
Publisher Oxford University Press
FWCI 2.57
Countries 2
Institutions 8
Added 24 Jun 2016
Updated 31 Oct 2026

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Three-dimensional morphological and signal intensity features for detection of intervertebral disc degeneration from magnetic resonance images

Article 2013 EN Bronze

BACKGROUND AND OBJECTIVES: Advances in MRI hardware and sequences are continually increasing the amount and complexity of data such as those generated in high-resolution three-dimensional (3D) scanning of the spine. Efficient informatics tools offer considerable opportunities for research and clinically based analyses of magnetic resonance studies. In this work, we present and validate a suite of…

32

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30

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7

Authors

2.57

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UN Sustainable Development Goals

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7 authors

#	Author	Institutions	ORCID
1	Aleš Neubert Corresponding	Commonwealth Scientific and In… (AU) The University of Queensland (AU) +2
2	Jürgen Fripp	Commonwealth Scientific and In… (AU) Information and Communication … (AU) +1
3	CRAIG M. ENGSTROM	The University of Queensland (AU)
4	DUNCAN G. WALKER	Wesley Hospital (AU) Wesley Research Institute (AU)	—
5	M.-A. Weber	Heidelberg University (DE)	—
6	Raphael Schwarz	Siemens Healthineers (Germany) (DE)	—
7	‪Stuart Crozier‬	The University of Queensland (AU)

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