Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Do Kun Yoon"'
Patient-Derived Nasopharyngeal Cancer Organoids for Disease Modeling and Radiation Dose Optimization
Autor:
Sasidharan Swarnalatha Lucky, Martin Law, Ming Hong Lui, Jamie Mong, Junli Shi, Sidney Yu, Do Kun Yoon, Shih Kien Djeng, Jiguang Wang, Chwee Ming Lim, Min Han Tan
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
Effective radiation treatment (RT) for recurrent nasopharyngeal cancers (NPC), featuring an intrinsic hypoxic sub-volume, remains a clinical challenge. Lack of disease‐specific in-vitro models of NPC, together with difficulties in establishing pati
Externí odkaz:
https://doaj.org/article/9aab3d005f1247ee920b4ac67cadc636
Publikováno v:
Journal of Orthopaedic Surgery and Research, Vol 19, Iss 1, Pp 1-8 (2024)
Abstract Background Orthopedic surgeons use manual measurements, acetate templating, and dedicated software to determine the appropriate implant size for total knee arthroplasty (TKA). This study aimed to use deep learning (DL) to assist in deciding
Externí odkaz:
https://doaj.org/article/4a77893e9d384abaa40f0e593fbed716
Publikováno v:
BMC Musculoskeletal Disorders, Vol 25, Iss 1, Pp 1-11 (2024)
Abstract Background If reduction images of fractures can be provided in advance with artificial-intelligence (AI)-based technology, it can assist with preoperative surgical planning. Recently, we developed the AI-based preoperative virtual reduction
Externí odkaz:
https://doaj.org/article/1c2dce47f7ab4ddfab391d582bb0a48a
Autor:
Young Jae Moon, Tae Young Ahn, Seung Woo Suh, Kun-Bo Park, Sam Yeol Chang, Do-Kun Yoon, Moo-Sub Kim, Hyeonjoo Kim, Yong Dae Jeon, Jae Hyuk Yang
Publikováno v:
Diagnostics, Vol 14, Iss 4, p 394 (2024)
Despite numerous attempts to correct forward head posture (FHP), definitive evidence-based screening and diagnostic methods remain elusive. This study proposes a preliminary diagnostic methodology for FHP, utilizing a noninvasive body angle measureme
Externí odkaz:
https://doaj.org/article/459090684c4e439a8fe5e3044e1308a7
Autor:
Young-Dae Jeon, Min-Jun Kang, Sung-Uk Kuh, Ha-Yeong Cha, Moo-Sub Kim, Ju-Yeon You, Hyeon-Joo Kim, Seung-Han Shin, Yang-Guk Chung, Do-Kun Yoon
Publikováno v:
Diagnostics, Vol 14, Iss 1, p 11 (2023)
Utilizing “You only look once” (YOLO) v4 AI offers valuable support in fracture detection and diagnostic decision-making. The purpose of this study was to help doctors to detect and diagnose fractures more accurately and intuitively, with fewer e
Externí odkaz:
https://doaj.org/article/3d7fdcc17f8245b9b205d6207fbd24ce
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-1 (2023)
Externí odkaz:
https://doaj.org/article/90ad987bec50409c8165de1e527ffac8
Publikováno v:
Nuclear Engineering and Technology, Vol 52, Iss 9, Pp 2072-2077 (2020)
The purpose of this study was to demonstrate the feasibility of sensing changes in a tumor during boron neutron capture therapy (BNCT) using a Monte Carlo simulation tool. In the simulation, an epi-thermal neutron source and a water phantom including
Externí odkaz:
https://doaj.org/article/885d6bbce9224ee0bbf01efb67166f8d
Autor:
Moo-Sub Kim, Han-Back Shin, Min-Geon Choi, Hajime Monzen, Jae Goo Shim, Tae Suk Suh, Do-Kun Yoon
Publikováno v:
Nuclear Engineering and Technology, Vol 52, Iss 1, Pp 155-163 (2020)
To investigate the optimal detector material for prompt gamma imaging during boron neutron capture therapy, in this study, we evaluated the characteristic regarding radiation reaction of available detector materials using a Monte Carlo simulation. Si
Externí odkaz:
https://doaj.org/article/159c87a2b3d04e618f944052e9280484
Autor:
Moo-Sub Kim, Do-Kun Yoon, Seung-Han Shin, Bo-Young Choe, Jong-Won Rhie, Yang-Guk Chung, Tae Suk Suh
Publikováno v:
Diagnostics, Vol 12, Iss 6, p 1372 (2022)
Background: The purpose of this study was to demonstrate the usefulness of 3D image-based virtual reduction by validating the evaluation criteria according to guidelines suggested by the AO Surgery Reference. Methods: For this experiment, 19 intact r
Externí odkaz:
https://doaj.org/article/f8a590ea180a4d2b8a85891c6394e88c
Autor:
Mikoto Tamura, Hajime Monzen, Kenji Matsumoto, Kazuki Kubo, Masakazu Otsuka, Masahiro Inada, Hiroshi Doi, Kazuki Ishikawa, Kiyoshi Nakamatsu, Iori Sumida, Hirokazu Mizuno, Do-Kun Yoon, Yasumasa Nishimura
Publikováno v:
Radiation Oncology, Vol 13, Iss 1, Pp 1-7 (2018)
Abstract Background This study clarified the mechanical performance of volumetric modulated arc therapy (VMAT) plans for prostate cancer generated with a commercial knowledge-based treatment planning (KBP) and whether KBP system could be applied clin
Externí odkaz:
https://doaj.org/article/db4980ed66f04598b0529ebe8748e78a