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International Neurourology Journal|December 8, 2025
Data-Efficient Deep Learning Framework for Urolithiasis Detection Using Transfer and Self-Supervised LearningJae-Seoung Kim, Sung-Jong EunInternational Neurourology Journal|June 8, 2026
Impact of Simulated Radiation Dose Reduction on Deep Learning-Based Renal Segmentation Performance: A Simulation Study Using the KiTS21 (2021 Kidney and Kidney Tumor Segmentation Challenge) DatasetJae-Seoung Kim, Sung-Jong EunInternational Neurourology Journal|December 4, 2023
Improved Detection of Urolithiasis Using High-Resolution Computed Tomography Images by a Vision Transformer ModelHyoung Sun Choi, Jae Seoung Kim, Taeg Keun Whangbo, et al.International Neurourology Journal|December 8, 2025
Radiomics Reproducibility in Prostate Cancer Diagnosis Based on PROSTATExSumin Jung, Jae-Seoung KimComputers in Biology and Medicine|August 5, 2025
A lightweight YOLOv8-based model for gastric cancer detectionSeung-Won Jeong, Shabir Ahmad, Jae-Seoung Kim, et al.International Neurourology Journal|January 3, 2024
The Current State of Artificial Intelligence Application in UrologyEui-Sun Kim, Sung-Jong Eun, Seunghyun YounJournal of Exercise Rehabilitation|November 22, 2021
Applications of artificial intelligence in urological setting: a hopeful path to improved careSung-Jong Eun, Jayoung Kim, Khae Hawn KimInternational Neurourology Journal|June 7, 2023
Transfer Learning for Effective Urolithiasis DetectionHyoung-Sun Choi, Jae-Seoung Kim, Taeg-Keun Whangbo, et al.International Neurourology Journal|April 4, 2023
Development and Evaluation of Urolithiasis Detection Technology Based on a Multimethod AlgorithmJong Mok Park, Sung-Jong Eun, Yong Gil NaInternational Neurourology Journal|June 8, 2026
From Machine Learning to Generative Artificial Intelligence in Urology: Technological Evolution and Future PerspectivesSung-Jong Eun, Jong Mok Park, Yong Gil NaPageof 3