Deep learning-based automated quantification of the hepatorenal index for evaluation of fatty liver by ultrasonography
Ultrasonography. 2021;40(4):565-574 
Quantification of Hepatorenal Index for Computer-Aided Fatty Liver Classification with Self-Organizing Map and Fuzzy Stretching from Ultrasonography
BioMed Research International. 2015;2015:1-9
383 A COMPARISON OF FATTY LIVER INDEX WITH THREE NON-INVASIVE METHODS FOR THE DETECTION AND QUANTIFICATION OF LIVER STEATOSIS: REGULAR ULTRASOUND, HEPATORENAL ULTRASOUND INDEX AND STEATOTEST
Journal of Hepatology. 2010;52:S158
Utilization of a Deep Learning Algorithm for Microscope-Based Fatty Vacuole Quantification in a Fatty Liver Model in Mice
Toxicologic Pathology. 2020;48(5):702-707
Microscope-Based Automated Quantification of Liver Fibrosis in Mice Using a Deep Learning Algorithm
Toxicologic Pathology. 2021;49(5):1126-1133
Fr409 DEEP LEARNING FOR AUTOMATED QUANTIFICATION OF SMALL AND LARGE DROPLET MACROSTEATOSIS ON LIVER BIOPSY
Gastroenterology. 2021;160(6):S-813
Evaluation of pediatric hydronephrosis using deep learning quantification of fluid-to-kidney-area ratio by ultrasonography
Abdominal Radiology. 2021;46(11):5229-5239
Automated quantification of ultrasonic fatty liver texture based on curvelet transform and SVD
Biocybernetics and Biomedical Engineering. 2018;38(1):145-157
Liver stiffness quantification in biopsy-proven nonalcoholic fatty liver disease patients using shear wave elastography in comparison with transient elastography
Ultrasonography. 2021;40(3):407-416
Automated image quality evaluation of T2-weighted liver MRI utilizing deep learning architecture
Journal of Magnetic Resonance Imaging. 2017;47(3):723-728