Comparison of convolutional neural networks for detecting large vessel occlusion on computed tomography angiography is a research paper published in Medical Physics (2021). On theSindex it has a DataRank of 0. It has been cited 13 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.
Patient-Centered Outcomes Research Institute
Grant: CDRNβ1306β04869
National Institutes of Health
Grant: R01GM120484
National Center for Research Resources
Grant: 1UL1RR024975β01
National Center for Advancing Translational Sciences
Grant: 2UL1TR000445β06
ViSE/VICTR
Grant: VR3029
Patient-Centered Outcomes Research Institute
Grant: CDRN-1306-04869
NCRR NIH HHS
Grant: 1UL1RR024975-01
NCATS NIH HHS
Grant: 2UL1TR000445-06
National Science Foundation Graduate Research Fellowship
Grant: DGE-1746891
NICHD NIH HHS
Grant: P50 HD103537
NCATS NIH HHS
Grant: UL1 TR000445
NSF
Grant: 1452485
NCRR NIH HHS
Grant: UL1 RR024975
VICTR CTSA award
Grant: ULTR000445 from NCATS/NIH
Vanderbilt University Medical Center institutional funding
NVIDIA hardware grant
Resources of the Advanced Computing Center for Research and Education at Vanderbilt University, Nashville, TN
FWCI
1.00
Citation Percentile
0.8%
Citation Trend
Fields of Study
MeSH Terms
Keywords