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Your search keyword '"Kim, Ji-Youn"' showing total 19 results
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19 results on '"Kim, Ji-Youn"'

5. Serum Antibody Response Comparison and Adverse Reaction Analysis in Healthcare Workers Vaccinated with the BNT162b2 or ChAdOx1 COVID-19 Vaccine

Author

Lim, Sung-Hee, primary, Choi, Seong-Hyeok, additional, Kim, Bora, additional, Kim, Ji-Youn, additional, Ji, Young-Sok, additional, Kim, Se-Hyung, additional, Kim, Chan-Kyu, additional, Kim, Tark, additional, Choo, Eun-Ju, additional, Moon, Ji-Eun, additional, Yun, Jina, additional, and Park, Seong-Kyu, additional

Published
2021
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13. Facilitation of Bone Healing Processes Based on the Developmental Function of Meox2 in Tooth Loss Lesion

Author

Kim, Tae-Young, primary, Park, Jae-Kyung, additional, Prasad Aryal, Yam, additional, Lee, Eui-Seon, additional, Neupane, Sanjiv, additional, Sung, Shijin, additional, Pokharel, Elina, additional, Yeon, Chang-Yeol, additional, Kim, Ji-Youn, additional, Jung, Jae-Kwang, additional, Yamamoto, Hitoshi, additional, An, Chang-Hyeon, additional, Lee, Youngkyun, additional, Sohn, Wern-Joo, additional, Jang, Il-Ho, additional, An, Seo-Young, additional, and Kim, Jae-Young, additional

Published
2020
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15. Developmental Roles of FUSE Binding Protein 1 (Fubp1) in Tooth Morphogenesis

Author

Aryal, Yam Prasad, primary, Neupane, Sanjiv, additional, Kim, Tae-Young, additional, Lee, Eui-Seon, additional, Pokhrel, Nitin Kumar, additional, Yeon, Chang-Yeol, additional, Kim, Ji-Youn, additional, An, Chang-Hyeon, additional, An, Seo-Young, additional, Park, Eui-Kyun, additional, Ha, Jung-Hong, additional, Jung, Jae-Kwang, additional, Yamamoto, Hitoshi, additional, Cho, Sung-Won, additional, Lee, Sanggyu, additional, Kim, Do-Yeon, additional, Kwon, Tae-Yub, additional, Lee, Youngkyun, additional, Sohn, Wern-Joo, additional, and Kim, Jae-Young, additional

Published
2020
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16. Signaling Modulations of miR-206-3p in Tooth Morphogenesis

Author

Neupane, Sanjiv, primary, Aryal, Yam Prasad, additional, Kim, Tae-Young, additional, Yeon, Chang-Yeol, additional, An, Chang-Hyeon, additional, Kim, Ji-Youn, additional, Yamamoto, Hitoshi, additional, Lee, Youngkyun, additional, Sohn, Wern-Joo, additional, and Kim, Jae-Young, additional

Published
2020
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19. Performance Evaluation of Ultrasound Images Using Non-Local Means Algorithm with Adaptive Isotropic Search Window for Improved Detection of Salivary Gland Diseases: A Pilot Study.

Author

Kim JY

Abstract

Speckle noise in ultrasound images (UIs) significantly reduces the accuracy of disease diagnosis. The aim of this study was to quantitatively evaluate its feasibility in salivary gland ultrasound imaging by modeling the adaptive non-local means (NLM) algorithm. UIs were obtained using an open-source device provided by SonoSkills and FUJIFILM Healthcare Europe. The adaptive NLM algorithm automates optimization by modeling the isotropic search window, eliminating the need for manual configuration in conventional NLM methods. The coefficient of variation (COV), contrast-to-noise ratio (CNR), and edge rise distance (ERD) were used as quantitative evaluation parameters. UIs of the salivary glands revealed evident visualization of the internal echo shape of the malignant tumor and calcification line using the adaptive NLM algorithm. Improved COV and CNR results (approximately 4.62 and 2.15 times, respectively) compared with noisy images were achieved. Additionally, when the adaptive NLM algorithm was applied to the UIs of patients with salivary gland sialolithiasis, the noisy images and ERD values were calculated almost similarly. In conclusion, this study demonstrated the applicability of the adaptive NLM algorithm in optimizing search window parameters for salivary gland UIs.

Published
2024
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