Noninvasive Diagnosis of Nonalcoholic Fatty Liver Disease and Quantification of Liver Fat with Radiofrequency Ultrasound Data Using One-dimensional Convolutional Neural Networks is a research paper published in Radiology (2020). On theSindex it has a DataRank of 0. It has been cited 148 times.
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National Institutes of Health
Grant: R01DK106419
NIEHS NIH HHS
Grant: P42 ES010337
NCATS NIH HHS
Grant: UL1 TR001442
NIDDK NIH HHS
Grant: P30 DK120515
National Institutes of Health
Grant: 1R01DK106419-01
QUS Technology for Diagnosis and Grading of Hepatic Steatosis in NAFLD
National Institutes of Health
Grant: 3P42ES010337-20S1
Harnessing Technological Innovation and Community-Engaged Implementation Science to Optimize COVID-19 Testing for Women and Children in Underserved Communities
National Institutes of Health
Grant: 2UL1TR001442-06
UC San Diego Clinical and Translational Research Institute
National Institutes of Health
Grant: 5P30DK120515-04
San Diego Digestive Diseases Research Center
FWCI
11.62
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Additional file 1 of Image-based AI diagnostic performance for fatty liver: a systematic review and meta-analysis
Additional file 1 of Image-based AI diagnostic performance for fatty liver: a systematic review and meta-analysis