Interpretable Machine Learning for Characterization of Focal Liver Lesions by Contrast-Enhanced Ultrasound is a research paper published in IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control (2022). On theSindex it has a DataRank of 0.581. It has been cited 47 times.
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Base Score Contribution
0.581
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 →NIH/NCI
Grant: R01 CA215520
National Institutes of Health
Grant: 5R01CA215520-02
CONTRAST-ENHANCED ULTRASOUND EVALUATION OF FOCAL LIVER LESIONS IN PATIENTS WITH CIRRHOSIS OR OTHER RISK FACTORS FOR DEVELOPING HCC
4TU Precision Medicine Program, High Tech for a Sustainable Future
Hanarth Fonds Fellowship for AI in Oncology
KNAW Van Leersum Grant
Universities of Technology of the Netherlands
FWCI
5.59
Citation Percentile
1.0%
Citation Trend
Fields of Study
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