Effect of various binning methods and ROI sizes on the accuracy of the automatic classification system for differentiation between diffuse infiltrative lung diseases on the basis of texture features at HRCT. - Namkug Kim; Joon Beom Seo; Yu Sub Sung; Bum-Woo Park; Youngjoo Lee; Seong Hoon Park; Young Kyung Lee; Suk-Ho Kang (Image Processing, 2008)

Deep feature learning for pulmonary nodule classification in a lung CT. - Bum-Chae Kim; Yu Sub Sung; Heung-Il Suk (BCI, 2016)

CDISC-compliant clinical trial imaging management system with automatic verification and data Transformation: Focusing on tumor response assessment data in clinical trials. - Amy Junghyun Lee; Kyung Won Kim; Youngbin Shin; Jiwoo Lee; Hyo Jung Park; Young Chul Cho; Yousun Ko 002; Yu Sub Sung; Byung Sun Yoon (J. Biomed. Informatics, 2021)

Development and validation of an ensemble artificial intelligence model for comprehensive imaging quality check to classify body parts and contrast enhancement. - Seongwon Na; Yu Sub Sung; Yousun Ko 002; Youngbin Shin; Junghyun Lee; Jiyeon Ha; Su Jung Ham; Kyoungro Yoon; Kyung Won Kim (BMC Medical Imaging, 2022)