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JMIR Medical Informatics|February 6, 2016
Computerized Automated Quantification of Subcutaneous and Visceral Adipose Tissue From Computed Tomography Scans: Development and Validation StudyYoung Jae Kim, Ji Won Park, Jong Wan Kim, et al.Cells|October 14, 2020
Safety and Tolerability of Stromal Vascular Fraction Combined with β-Tricalcium Phosphate in Posterior Lumbar Interbody Fusion: Phase I Clinical TrialUn Yong Choi, Kyoung-Tae Kim, Kwang Gi Kim, et al.Cornea|December 20, 2015
Quantification of Astigmatism Induced by Pterygium Using Automated Image AnalysisSang Beom Han, Hyun Sun Jeon, Moosang Kim, et al.Digital Health|March 16, 2026
Machine learning-based prediction of long-term new-onset diabetes mellitus risk after pancreaticoduodenectomy using radiomicsJihyun Yoon, Seon Min Lee, Byoungduck Han, et al.Surgical Endoscopy|February 6, 2019
Spotting malignancies from gastric endoscopic images using deep learningJang Hyung Lee, Young Jae Kim, Yoon Woo Kim, et al.Cornea|April 22, 2016
Risk Factors for Recurrence After Pterygium Surgery: An Image Analysis StudySang Beom Han, Hyun Sun Jeon, Moosang Kim, et al.Diagnostics (Basel, Switzerland)|March 25, 2022
Aux-MVNet: Auxiliary Classifier-Based Multi-View Convolutional Neural Network for Maxillary Sinusitis Diagnosis on Paranasal Sinuses ViewSang-Heon Lim, Jong Hoon Kim, Young Jae Kim, et al.Journal of Gastroenterology and Hepatology|August 25, 2021
Diagnostic performance of endoscopic ultrasound-artificial intelligence using deep learning analysis of gallbladder polypoid lesionsSung Ill Jang, Young Jae Kim, Eui Joo Kim, et al.Plos One|May 24, 2023
Comparison between single and serial computed tomography images in classification of acute appendicitis, acute right-sided diverticulitis, and normal appendix using EfficientNetSo Hyun Park, Young Jae Kim, Kwang Gi Kim, et al.Radiology|June 30, 2015
Hepatic Steatosis: Assessment with Acoustic Structure Quantification of US ImagingJee-Young Son, Jae Young Lee, Nam-Joon Yi, et al.Pageof 27