eICAB: A novel deep learning pipeline for Circle of Willis multiclass segmentation and analysis is a research paper published in NeuroImage (2022). On theSindex it has a DataRank of 0. It has been cited 26 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.
Natural Sciences and Engineering Research Council of Canada
Grant: PGSD3-475005-2015
National Institutes of Health
Grant: P01 AG003991
National Institutes of Health
Grant: P01 AG026276
National Institutes of Health
Grant: P30 NS09857781
National Institutes of Health
Grant: P50 AG00561
National Institutes of Health
Grant: R01 AG043434
National Institutes of Health
Grant: R01 EB009352
National Institutes of Health
Grant: UL1 TR000448
National Institute of Biomedical Imaging and Bioengineering
Canada Research Chairs
University of Southern California
FWCI
2.60
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals