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Imaging Science in Dentistry|October 8, 2021
A fully deep learning model for the automatic identification of cephalometric landmarksYoung Hyun Kim, Chena Lee, Eun-Gyu Ha, et al.
Imaging Science in Dentistry|October 7, 2024
Image quality-based dose optimization in pediatric cone-beam computed tomography: A pilot methodological studyHak-Sun Kim, Yoon Joo Choi, Kug Jin Jeon, et al.
European Radiology|September 25, 2025
Deep learning reconstruction for temporomandibular joint MRI: diagnostic interchangeability, image quality, and scan time reductionGyu-Dong Jo, Kug Jin Jeon, Yoon Joo Choi, et al.
Imaging Science in Dentistry|January 10, 2020
Three-dimensional comparison of 2 digital models obtained from cone-beam computed tomographic scans of polyvinyl siloxane impressions and plaster modelsJin-Yi Park, Dasomi Kim, Sang-Sun Han, et al.
Clinical Oral Investigations|November 30, 2021
Canal configuration and root morphology of mandibular premolars using cone-beam computed tomography in a Korean populationYoon Joo Choi, Chena Lee, Kug Jin Jeon, et al.
Plos One|January 19, 2024
Evaluation of masticatory muscles in temporomandibular joint disorder patients using quantitative MRI fat fraction analysis-Could it be a biomarker?Kug Jin Jeon, Yoon Joo Choi, Chena Lee, et al.
Dento Maxillo Facial Radiology|March 19, 2025
Magnetic resonance image generation using enhanced TransUNet in Temporomandibular disorder patientsEun-Gyu Ha, Kug Jin Jeon, Chena Lee, et al.
Korean Journal of Orthodontics|March 8, 2021
Differences in mandibular condyle and glenoid fossa morphology in relation to vertical and sagittal skeletal patterns: A cone-beam computed tomography studyKyoung Jin Noh, Hyoung-Seon Baik, Sang-Sun Han, et al.
Imaging Science in Dentistry|January 6, 2023
Synthesis of T2-weighted images from proton density images using a generative adversarial network in a temporomandibular joint magnetic resonance imaging protocolChena Lee, Eun-Gyu Ha, Yoon Joo Choi, et al.
Dento Maxillo Facial Radiology|November 26, 2021
A fully automated method of human identification based on dental panoramic radiographs using a convolutional neural networkYoung Hyun Kim, Eun-Gyu Ha, Kug Jin Jeon, et al.
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