Differentiation of Urinary Stone and Vascular Calcifications on Non-contrast CT Images: An Initial Experience using Computer Aided Diagnosis. - Hak Jong Lee; Kwang Gi Kim; Sung Il Hwang; Seung Hyup Kim; Seok-Soo Byun; Sang Eun Lee; Seong Kyu Hong; Jeong Yeon Cho; Chang Gyu Seong (J. Digit. Imaging, 2010)

Development of Integrated Data and Prediction System Platform for the Localized Prostate Cancer. - Sun Jung Lee; Sung Hye Yu; Yejin Kim; Jun Hyuk Hong; Choung-Soo Kim; Seong Il Seo; Chang Wook Jeong; Seok-Soo Byun; Byung Ha Chung; Ji Youl Lee; In Young Choi (MedInfo, 2019)

A smart, practical, deep learning-based clinical decision support tool for patients in the prostate-specific antigen gray zone: model development and validation. - Sang Hun Song; Hwanik Kim; Jung Kwon Kim; Hakmin Lee; Jong Jin Oh; Sang-Chul Lee; Seong Jin Jeong; Sung Kyu Hong; Junghoon Lee; Sangjun Yoo; Min-Soo Choo; Min Chul Cho; et al. (J. Am. Medical Informatics Assoc., 2022)

Machine learning-based prediction model for late recurrence after surgery in patients with renal cell carcinoma. - Hyung Min Kim 003; Seok-Soo Byun; Jung Kwon Kim; Chang Wook Jeong; Cheol Kwak; Eu Chang Hwang; Seokho Kang 002; Jinsoo Chung; Yong-June Kim; Yun-Sok Ha; Sung-Hoo Hong (BMC Medical Informatics Decis. Mak., 2022)

Machine learning models for predicting the onset of chronic kidney disease after surgery in patients with renal cell carcinoma. - Seol Whan Oh; Seok-Soo Byun; Jung Kwon Kim; Chang Wook Jeong; Cheol Kwak; Eu Chang Hwang; Seokho Kang 002; Jinsoo Chung; Yong-June Kim; Yun-Sok Ha; Sung-Hoo Hong (BMC Medical Informatics Decis. Mak., 2024)