Empirical field mapping for gradient nonlinearity correction of multi-site diffusion weighted MRI is a research paper published in Magnetic Resonance Imaging (2020). On theSindex it has a DataRank of 0. 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 β 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 β never from an abstract alone.
NIH HHS
Grant: S10 OD021771
NIBIB NIH HHS
Grant: T32 EB001628
NIBIB NIH HHS
Grant: R01 EB017230
NICHD NIH HHS
Grant: P50 HD103537
NCRR NIH HHS
Grant: UL1 RR024975
National Institutes of Health
Grant: 5T32EB001628-15
Postdoctoral Training in Biomedical MRI and MRS
National Institutes of Health
Grant: 5R01EB017230-07
Controlling Quality and Capturing Uncertainty in Advanced Diffusion Weighted MRI
National Institutes of Health
Grant: 3UL1RR024975-03S4
The Vanderbilt Institute for Clinical and Translational Research (VICTR) UL1
National Center for Research Resources
National Institutes of Health
MeSH Terms
Keywords