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Journal of X-Ray Science and Technology|February 20, 2025
Quantitative analysis of deep learning reconstruction in CT angiography: Enhancing CNR and reducing doseChang-Lae LeeJournal of X-Ray Science and Technology|May 22, 2026
AI-enhanced CT reconstruction for texture preservation in clinical imagingChang-Lae LeeJournal of X-Ray Science and Technology|February 6, 2023
Deep learning image reconstruction for quality assessment of iodine concentration in computed tomography: A phantom studyPil-Hyun Jeon, Chang-Lae LeeJournal of X-Ray Science and Technology|January 31, 2022
Improving image quality by optimizing beam width and helical pitch in CTPil-Hyun Jeon, Chang-Lae LeePlos One|July 26, 2024
Deep learning-based material decomposition of iodine and calcium in mobile photon counting detector CTKwanhee Han, Chang Ho Ryu, Chang-Lae Lee, et al.Clinical, Cosmetic and Investigational Dermatology|March 20, 2026
Hyperhidrosis Improved by Samhwangsasim-Tang: A Case ReportJu-Hyun Lee, Jeong-Moon Lee, Seong-Min Park, et al.Plos One|March 5, 2021
Metal artifact reduction and tumor detection using photon-counting multi-energy computed tomographyChang-Lae Lee, Junyoung Park, Sangnam Nam, et al.Physics in Medicine and Biology|March 29, 2023
The first mobile photon-counting detector CT: the human images and technical performance studySu-Jin Park, Junyoung Park, Doil Kim, et al.Medical Physics|March 4, 2018
Development of a chest digital tomosynthesis R/F system and implementation of low-dose GPU-accelerated compressed sensing (CS) image reconstructionSunghoon Choi, Haenghwa Lee, Donghoon Lee, et al.Scientific Reports|November 24, 2021
Feasibility study of portable multi-energy computed tomography with photon-counting detector for preclinical and clinical applicationsChang-Lae Lee, Key Jo Hong, Namwoo Kim, et al.Pageof 2