A Multiscale Deep Learning Method for Quantitative Visualization of Traumatic Hemoperitoneum at CT: Assessment of Feasibility and Comparison with Subjective Categorical Estimation is a research paper published in Radiology Artificial Intelligence (2020). On theSindex it has a DataRank of 0. It has been cited 42 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: NIH K08 EB027141-01A1
RSNA Research Scholar Grant
Grant: RSCH1605
NIBIB NIH HHS
Grant: K08 EB027141
Influential Citations
1
Fields of Study