Deep-learning-based biomarker of spinal cartilage endplate health using ultra-short echo time magnetic resonance imaging is a research paper published in Quantitative Imaging in Medicine and Surgery (2023). On theSindex it has a DataRank of 0.434. It has been cited 17 times.
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Base Score Contribution
0.434
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
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Grant: UH2 AR076719
NIAMS NIH HHS
Grant: F32 AR081139
NIAMS NIH HHS
Grant: P30 AR066262
NIAMS NIH HHS
Grant: UH3 AR076719
NIAMS NIH HHS
Grant: R01 AR070198
NIAMS NIH HHS
Grant: P30 AR075055
National Institutes of Health
Grant: 1F32AR081139-01A1
Effects of in situ orientation on quantitative MR-based measures of cartilage endplate health
National Institutes of Health
Grant: 1UH2AR076719-01
Novel imaging of endplate biomarkers in chronic low back pain
National Institutes of Health
Grant: 5R01AR070198-05
Role of the cartilage endplate in spinal disc degeneration
National Institutes of Health
Grant: 3U19AR076737-01S2
REACH Participant Diversity Program
FWCI
2.80
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals