Training Strategies for Radiology Deep Learning Models in Data-limited Scenarios is a research paper published in Radiology Artificial Intelligence (2021). On theSindex it has a DataRank of 4.3. It has been cited 96 times, with 94 citing works in its 1-hop citation network.
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?
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Base Score Contribution
0.686
From this paper's citation signal
Citation Network Contribution
3.6
From 73 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 94 citers.
Intramural Research Program of the National Institutes of Health Clinical Center
Department of Radiology of The Ohio State University
FWCI
7.86
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords