Cascaded deep transfer learning on thoracic CT in COVID-19 patients treated with steroids is a research paper published in Journal of Medical Imaging (2020). On theSindex it has a DataRank of 0.360. It has been cited 10 times.
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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
0.360
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →NIA NIH HHS
Grant: R42 AG053149
NCRR NIH HHS
Grant: S10 RR021039
NIBIB NIH HHS
Grant: T32 EB002103
NIH HHS
Grant: S10 OD025081
National Institutes of Health
Grant: 1S10RR021039-01A2
High-Performance Computer Cluster for Image Analysis
National Institutes of Health
Grant: 5T32EB002103-19
Research Training in Medical Physics
National Institutes of Health
Grant: 2R42AG053149-02A1
Multi-Modality Image Data Fusion and Machine Learning Approaches for Personalized Diagnostics and Prognostics of MCI due to AD
National Institutes of Health
Grant: 1S10OD025081-01
Protected Radiomics Analysis Commons for Deep Learning in Biomedical Discovery
National Institutes of Health
Grant: 5R42AG053149-03
Multi-Modality Image Data Fusion and Machine Learning Approaches for Personalized Diagnostics and Prognostics of MCI due to AD
FWCI
1.05
Citation Percentile
0.8%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals