Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Sang Hee Ahn"'
Autor:
Sang Hee Ahn, EunSook Kim, Chankyu Kim, Wonjoong Cheon, Myeongsoo Kim, Se Byeong Lee, Young Kyung Lim, Haksoo Kim, Dongho Shin, Dae Yong Kim, Jong Hwi Jeong
Publikováno v:
Radiation Oncology, Vol 16, Iss 1, Pp 1-13 (2021)
Abstract Background Patient-specific dose prediction improves the efficiency and quality of radiation treatment planning and reduces the time required to find the optimal plan. In this study, a patient-specific dose prediction model was developed for
Externí odkaz:
https://doaj.org/article/df7d317279d2485e9f921b4024bedb16
Autor:
Hyeri Seok, Ji Hoon Jeon, Ji Hye Jung, Sang Hee Ahn, Minji Seo, Hyun Kyung Cho, Sul A Sung, Su-Hyun Kim, Hee Kyoung Choi, Won Suk Choi, Dae Won Park
Publikováno v:
International Journal of Infectious Diseases, Vol 109, Iss , Pp 72-76 (2021)
ABSTRACT: Objective: To evaluate the impact of enhanced environmental cleaning (two times per day) compared with conventional cleaning on the acquisition of carbapenem-resistant Acinetobacter baumannii (CRAB) in a highly endemic intensive care unit (
Externí odkaz:
https://doaj.org/article/33cd31889a3f4ad79ce0b9b74a82e78d
Autor:
Wonjoong Cheon, Sang Hee Ahn, Seonghoon Jeong, Se Byeong Lee, Dongho Shin, Young Kyung Lim, Jong Hwi Jeong, Sang Hee Youn, Sung Uk Lee, Sung Ho Moon, Tae Hyun Kim, Haksoo Kim
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
To automatically identify optimal beam angles for proton therapy configured with the double-scattering delivery technique, a beam angle optimization method based on a convolutional neural network (BAODS-Net) is proposed. Fifty liver plans were used f
Externí odkaz:
https://doaj.org/article/5b66e808b7f544949f009991a2f6384c
Autor:
Sang Hee Ahn, Adam Unjin Yeo, Kwang Hyeon Kim, Chankyu Kim, Youngmoon Goh, Shinhaeng Cho, Se Byeong Lee, Young Kyung Lim, Haksoo Kim, Dongho Shin, Taeyoon Kim, Tae Hyun Kim, Sang Hee Youn, Eun Sang Oh, Jong Hwi Jeong
Publikováno v:
Radiation Oncology, Vol 14, Iss 1, Pp 1-13 (2019)
Abstract Background Accurate and standardized descriptions of organs at risk (OARs) are essential in radiation therapy for treatment planning and evaluation. Traditionally, physicians have contoured patient images manually, which, is time-consuming a
Externí odkaz:
https://doaj.org/article/e7c25358816e4e968fda19745bca7f21
Autor:
Changhoon Choi, Arang Son, Ga-Haeng Lee, Sung-Won Shin, Sohee Park, Sang Hee Ahn, Yoonsun Chung, Jeong Il Yu, Hee Chul Park
Publikováno v:
PLoS ONE, Vol 14, Iss 6, p e0218049 (2019)
Recent studies have highlighted the implications of genetic variations in the relative biological effectiveness (RBE) of proton beam irradiation over conventional X-ray irradiation. Proton beam radiotherapy is a reasonable radiotherapy option for hep
Externí odkaz:
https://doaj.org/article/c645d8303edc4e66a2c54dbac562295c
Autor:
Shinhaeng Cho, Sang Hee Ahn, Ick Joon Cho, Yong Hyub Kim, Jae-Uk Jeong, Mee Sun Yoon, Sung-Ja Ahn, Woong-Ki Chung, Taek-Keun Nam, Ju-Young Song
Publikováno v:
PLoS ONE, Vol 14, Iss 9, p e0221655 (2019)
We evaluated the durability of cadmium telluride (CdTe) solar cells upon proton beam irradiation as well as the possibility of achieving a dosimeter usable in proton beam therapy by applying 100 MeV of pencil beam scanning (PBS) irradiation. Specific
Externí odkaz:
https://doaj.org/article/9453b2e749b940d1b7cca420e9be331e
Publikováno v:
KOREAN JOURNAL OF YOUTH STUDIES. 29:411-434
Autor:
Sang Hee Ahn
Publikováno v:
Progress in Medical Physics. 33:114-120
Autor:
Kyu Hye Choi, Yunji Seol, Young-nam Kang, Young Kyu Lee, Sang Hee Ahn, Jin Ho Song, Byung-Ock Choi, Yeon-Sil Kim, HongSeok Jang
Publikováno v:
Journal of the Korean Physical Society. 81:460-470
Autor:
Haksoo Kim, Sang Hee Ahn, Myeongsoo Kim, Dae Yong Kim, EunSook Kim, Wonjoong Cheon, Chankyu Kim, Young Kyung Lim, Dong Ho Shin, Se Byeong Lee, Jong Hwi Jeong
Publikováno v:
Radiation Oncology, Vol 16, Iss 1, Pp 1-13 (2021)
Radiation Oncology (London, England)
Radiation Oncology (London, England)
Background Patient-specific dose prediction improves the efficiency and quality of radiation treatment planning and reduces the time required to find the optimal plan. In this study, a patient-specific dose prediction model was developed for a left-s