Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Jiwon Sung"'
Publikováno v:
Administrative Sciences, Vol 14, Iss 6, p 130 (2024)
This study examines the crucial role of chief executive officers (CEOs) in post-acquisition integration, focusing on Chegg, a prominent ed-tech company in a rapidly evolving industry. Analyzing CEO actions post-acquisition through interviews and metr
Externí odkaz:
https://doaj.org/article/ca12652c1251486697db9dd23c97846b
Autor:
Jina Kim, Jiwon Sung, Seo Jin Lee, Kang Su Cho, Byung Ha Chung, Dongjoon Yang, Jihun Kim, Jun Won Kim
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
IntroductionWe analyzed daily pre-treatment- (PRE) and real-time motion monitoring- (MM) MRI scans of patients receiving definitive prostate radiotherapy (RT) with 1.5 T MRI guidance to assess interfractional and intrafractional variability of the pr
Externí odkaz:
https://doaj.org/article/b18783c154714110b7234a2d018a7e1b
Publikováno v:
Cancers, Vol 16, Iss 3, p 526 (2024)
The purpose of this study is to evaluate RadCalc, an independent dose verification software, for patient-specific quality assurance (PSQA) in online adaptive planning with a magnetic resonance linear accelerator (MR-linac) of a 1.5 T. Version 7.1.4 o
Externí odkaz:
https://doaj.org/article/b5439ae9920d4d749f8e24fcb0b97a25
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract This study evaluated the effect of the 1.5 T magnetic field of the magnetic resonance-guided linear accelerator (MR-Linac) on the radiation leakage doses penetrating the bunker radiation shielding wall. The evaluated 1.5 T MR-Linac Unity sys
Externí odkaz:
https://doaj.org/article/5b508593dfa94a12965b0350879f9979
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
Conventional non-local total variation (NLTV) approaches use the weight of a non-local means (NLM) filter, which degrades performance in low-dose cone-beam computed tomography (CBCT) images generated with a low milliampere-seconds (mAs) parameter val
Externí odkaz:
https://doaj.org/article/1b0e56f293684a2b91c5f8f44b257d1d
Publikováno v:
Cancers, Vol 14, Iss 15, p 3581 (2022)
Objective: This study aimed to investigate the segmentation accuracy of organs at risk (OARs) when denoised computed tomography (CT) images are used as input data for a deep-learning-based auto-segmentation framework. Methods: We used non-contrast en
Externí odkaz:
https://doaj.org/article/89b2c31c78304d7e9f423392360d7646
Autor:
Dong Wook Kim, Jiwon Sung, Jaeman Son, Han-Back Shin, Min-Joo Kim, Yu-Yun Noh, Hojae Kim, Min Cheol Han, Jihun Kim, Su Chul Han, Kyung Hwan Chang, Hojin Kim, Kwangwoo Park, Myonggeun Yoon, Jinsung Kim, Dongho Shin
Publikováno v:
PLoS ONE, Vol 15, Iss 12, p e0234829 (2020)
BackgroundThis study investigated the effect of accumulated doses on radio-photoluminescence glass dosimeters (RPLGDs) from measurements involving mega-voltage photons.MethodsForty-five commercially available RPLGDs were irradiated to estimate their
Externí odkaz:
https://doaj.org/article/388d1789b96847aea3bf114c43b2fa72
Autor:
Jina Kim, Jiwon Sung, Seo Jin Lee, Kang Su Cho, Byung Ha Chung, Dongjoon Yang, Jihun Kim, Jun Won Kim
Publikováno v:
Frontiers in Oncology; 2024, p01-08, 8p
Publikováno v:
Journal of the Korean Physical Society. 81:1100-1106
Autor:
Jung In Kim, Minsoo Chun, Hyeongmin Jin, Kim Jeongho, Park, Jong Min, Jiwon Sung, Chang Heon Choi
Publikováno v:
Progress in Medical Physics. 31:163-171