MRI Super-Resolution With Partial Diffusion Models is a research paper published in IEEE Transactions on Medical Imaging (2024). On theSindex it has a DataRank of 0.500. It has been cited 27 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
0.500
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: R01-CA248506
National Institutes of Health
Grant: R01-CA272702
NCI NIH HHS
Grant: R01 CA272702
NCI NIH HHS
Grant: R01 CA248506
National Institutes of Health
Grant: 3R01CA272702-02S1
Racially-associated MRI analysis and modeling for predicting aggressive prostate cancer
National Institutes of Health
Grant: 5R01CA248506-05
Integrating Quantitative MRI and Artificial Intelligence to Improve Prostate Cancer Classification
Integrated Diagnostics Program of the Department of Radiological Sciences and Department of Pathology, David Geffen School of Medicine, University of California at Los Angeles
FWCI
7.74
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords