Reducing the Complexity of Model-Based MRI Reconstructions via Sparsification is a research paper published in IEEE Transactions on Medical Imaging (2021). On theSindex it has a DataRank of 0. It has been cited 7 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.
National Institutes of Health
Grant: U01 EB025153
National Institutes of Health
Grant: P41 EB027061
National Science Foundation
Grant: CCF-1217751
Defense Advanced Research Projects Agency (DARPA) Young Faculty Award
Grant: N66001-14-1-4047
National Institutes of Health
Grant: 3P41EB027061-03S1
Technology to Realize the Full Potential of UHF MRI (Supplement)
National Science Foundation
Grant: 1217751
CIF: Small: Beyond Sparsity - Exploiting Saliency in Compressive and Adaptive Sensing
National Institutes of Health
Grant: 5U01EB025153-03
Imaging Human Brain Function with Minimal Mobility Restrictions
FWCI
0.13
Citation Percentile
0.4%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals