2024 연구성과별 연구자 정보 (2 / 2344)

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Document Title Author Full Name Author Short Name Index Corresponding Address ResearcherID ResearcherID Author Name ORCID ORCID Author Name Related Email
'Assessment of deep learning-based auto-contouring on interobserver consistency in target volume and organs-at-risk delineation for breast cancer: Implications for RTQA program in a multi-institutional study ' (vol 73 , 103599, 2024) Kim, Tae Gyu Kim, TG 12 AAL-8552-2021 Kim, Tae jinsung@yuhs.ac;radiat@snu.ac.kr;
'Assessment of deep learning-based auto-contouring on interobserver consistency in target volume and organs-at-risk delineation for breast cancer: Implications for RTQA program in a multi-institutional study ' (vol 73 , 103599, 2024) Yeo, Seung-Gu Yeo, SG 13 Soonchunhyang Univ, Soonchunhyang Univ Hosp, Dept Radiat Oncol, Coll Med, Bucheon, South Korea AGU-7265-2022 Yeo, Seung-Gu jinsung@yuhs.ac;radiat@snu.ac.kr;
'Assessment of deep learning-based auto-contouring on interobserver consistency in target volume and organs-at-risk delineation for breast cancer: Implications for RTQA program in a multi-institutional study ' (vol 73 , 103599, 2024) Chang, Ah Ram Chang, AR 14 Soonchunhyang Univ, Coll Med, Dept Radiat Oncol, Seoul, South Korea jinsung@yuhs.ac;radiat@snu.ac.kr;
'Assessment of deep learning-based auto-contouring on interobserver consistency in target volume and organs-at-risk delineation for breast cancer: Implications for RTQA program in a multi-institutional study ' (vol 73 , 103599, 2024) Ahn, Sung-Ja Ahn, SJ 15 Chonnam Natl Univ, Med Sch, Dept Radiat Oncol, Gwangju, South Korea jinsung@yuhs.ac;radiat@snu.ac.kr;
'Assessment of deep learning-based auto-contouring on interobserver consistency in target volume and organs-at-risk delineation for breast cancer: Implications for RTQA program in a multi-institutional study ' (vol 73 , 103599, 2024) Choi, Jinhyun Choi, J 16 jinsung@yuhs.ac;radiat@snu.ac.kr;
'Assessment of deep learning-based auto-contouring on interobserver consistency in target volume and organs-at-risk delineation for breast cancer: Implications for RTQA program in a multi-institutional study ' (vol 73 , 103599, 2024) Kang, Ki Mun Kang, KM 17 Gyeongsang Natl Univ, Gyeongsang Natl Univ Hosp, Coll Med, Jinju, South Korea AAA-3684-2022 Kang, Kimun jinsung@yuhs.ac;radiat@snu.ac.kr;
'Assessment of deep learning-based auto-contouring on interobserver consistency in target volume and organs-at-risk delineation for breast cancer: Implications for RTQA program in a multi-institutional study ' (vol 73 , 103599, 2024) Kwon, Jeanny Kwon, J 18 Chungnam Natl Univ, Sch Med, Dept Radiat Oncol, Daejeon, South Korea Q-3852-2019 Kwon, Jeong jinsung@yuhs.ac;radiat@snu.ac.kr;
'Assessment of deep learning-based auto-contouring on interobserver consistency in target volume and organs-at-risk delineation for breast cancer: Implications for RTQA program in a multi-institutional study ' (vol 73 , 103599, 2024) Koo, Taeryool Koo, T 19 Hallym Univ, Sacred Heart Hosp, Coll Med, Dept Radiat Oncol, Anyang, South Korea jinsung@yuhs.ac;radiat@snu.ac.kr;
'Assessment of deep learning-based auto-contouring on interobserver consistency in target volume and organs-at-risk delineation for breast cancer: Implications for RTQA program in a multi-institutional study ' (vol 73 , 103599, 2024) Kim, Mi Young Kim, MY 20 Kyungpook Natl Univ, Dept Radiat Oncol, Chilgok Hosp, Daegu, South Korea ABC-4815-2020 Kim, Haeyoung jinsung@yuhs.ac;radiat@snu.ac.kr;
'Assessment of deep learning-based auto-contouring on interobserver consistency in target volume and organs-at-risk delineation for breast cancer: Implications for RTQA program in a multi-institutional study ' (vol 73 , 103599, 2024) Choi, Seo Hee Choi, SH 21 Yonsei Univ, Coll Med, Yongin Severance Hosp, Dept Radiat Oncol, Yongin, South Korea jinsung@yuhs.ac;radiat@snu.ac.kr;
'Assessment of deep learning-based auto-contouring on interobserver consistency in target volume and organs-at-risk delineation for breast cancer: Implications for RTQA program in a multi-institutional study ' (vol 73 , 103599, 2024) Jeong, Bae Kwon Jeong, BK 22 Gyeongsang Natl Univ, Coll Med, Dept Radiat Oncol, Gyeongsang Natl Univ Hosp, Jinju, South Korea jinsung@yuhs.ac;radiat@snu.ac.kr;
'Assessment of deep learning-based auto-contouring on interobserver consistency in target volume and organs-at-risk delineation for breast cancer: Implications for RTQA program in a multi-institutional study ' (vol 73 , 103599, 2024) Jang, Bum-Sup Jang, BS 23 Yonsei Univ, Coll Med, Dept Radiat Oncol, Seoul, South Korea jinsung@yuhs.ac;radiat@snu.ac.kr;
'Assessment of deep learning-based auto-contouring on interobserver consistency in target volume and organs-at-risk delineation for breast cancer: Implications for RTQA program in a multi-institutional study ' (vol 73 , 103599, 2024) Jang, Bum-Sup Jang, BS 23 Dong A Univ, Dong A Univ Hosp, Dept Radiat Oncol, Coll Med, Busan, South Korea jinsung@yuhs.ac;radiat@snu.ac.kr;
'Assessment of deep learning-based auto-contouring on interobserver consistency in target volume and organs-at-risk delineation for breast cancer: Implications for RTQA program in a multi-institutional study ' (vol 73 , 103599, 2024) Jo, In Young Jo, IY 24 Soonchunhyang Univ Hosp, Dept Radiat Oncol, Cheonan, South Korea jinsung@yuhs.ac;radiat@snu.ac.kr;
'Assessment of deep learning-based auto-contouring on interobserver consistency in target volume and organs-at-risk delineation for breast cancer: Implications for RTQA program in a multi-institutional study ' (vol 73 , 103599, 2024) Lee, Hyebin Lee, H 25 Sungkyunkwan Univ, Sch Med, Kangbuk Samsung Hosp, Dept Radiat Oncol, Seoul, South Korea J-2154-2015 Lee, Hye jinsung@yuhs.ac;radiat@snu.ac.kr;
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