Deep learning for radial SMS myocardial perfusion reconstruction using the 3D residual booster U-net is a research paper published in Magnetic Resonance Imaging (2021). On theSindex it has a DataRank of 0.483. It has been cited 24 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.483
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.
Learn more about DataRank methodology →National Institutes of Health
Grant: ROIHL138082
National Institutes of Health
Grant: S10OD018482-01
NHLBI NIH HHS
Grant: R01 HL138082
NIH HHS
Grant: S10 OD018482
NHLBI NIH HHS
Grant: R01 HL135328
FWCI
2.16
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords