Development of Web-Based Management System and Dataset for Radiology-Common Data Model (R-CDM) and Its Clinical Application in Liver Cirrhosis. - Seungjin Kim; Chang-Won Jeong; Tae-Hoon Kim; Chung-Sub Lee; Si-Hyeong Noh; Ji-Eon Kim; Kwon-Ha Yoon (IntelliSys (3), 2020)

Discrimination of Chronic Liver Disease in Non-contrast CT Images using CNN-Deep Learning. - Tae-Hoon Kim; Si-Hyeong Noh; Chang-Won Jeong; Chung-Sub Lee; Ji-Eon Kim; Seungjin Kim; Kwon-Ha Yoon (IntelliSys (3), 2020)

Analysis and Classification of Urinary Stones Using Deep Learning Algorithm: A Clinical Application of Radiology-Common Data Model (R-CDM) Data Set. - Si-Hyeong Noh; Seungjin Kim; Ji-Eon Kim; Chung-Sub Lee; Seng Chan You; Tae-Hoon Kim; Yun Oh Lee; Ilseok Chae; Rae Woong Park; Sung Bin Park; Kwon-Ha Yoon; Chang-Won Jeong (IntelliSys (3), 2020)

Development and validation of a management system and dataset quality assessment tool for the Radiology Common Data Model (R_CDM): A case study in liver disease. - Tae-Hoon Kim; Si-Hyeong Noh; Youe Ree Kim; Chung-Sub Lee; Ji Eon Kim; Chang-Won Jeong; Kwon-Ha Yoon (Int. J. Medical Informatics, 2022)

Development of an artificial intelligence-based application for the diagnosis of sarcopenia: a retrospective cohort study using the health examination dataset. - Chang-Won Jeong; Dong-Wook Lim; Si-Hyeong Noh; Sung Hyun Lee; Chul Park (BMC Medical Informatics Decis. Mak., 2025)