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2024 연구성과별 연구자 정보 (203 / 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 | Chang, Jee Suk | Chang, JS | 2 | Yonsei Univ, Coll Med, Dept Radiat Oncol, Seoul, South Korea | ABU-3301-2022 | Chang, Jee Suk | 0000-0001-7685-3382 | Chang, Jee Suk | jinsung@yuhs.ac.kr;radiat@snu.ac.kr;jinsung@yuhs.ac; | |
| 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 | Kim, Kyubo | Kim, K | 3 | Ewha Womans Univ, Coll Med, Dept Radiat Oncol, Seoul, South Korea | R-8061-2019 | Kim, Kyubo | jinsung@yuhs.ac.kr;radiat@snu.ac.kr;jinsung@yuhs.ac; | |||
| 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 | Kim, Kyubo | Kim, K | 3 | Seoul Natl Univ, Coll Med, Dept Radiat Oncol, Bundang Hosp, Seongnam, South Korea | R-8061-2019 | Kim, Kyubo | jinsung@yuhs.ac.kr;radiat@snu.ac.kr;jinsung@yuhs.ac; | |||
| 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 | Kim, Jin Hee | Kim, JH | 4 | Keimyung Univ, Dongsan Med Ctr, Sch Med, Dept Radiat Oncol, Daegu, South Korea | jinsung@yuhs.ac.kr;radiat@snu.ac.kr;jinsung@yuhs.ac; | |||||
| 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 | Kim, Tae Hyung | Kim, TH | 5 | Eulji Univ, Sch Med, Nowon Eulji Med Ctr, Dept Radiat Oncol, Seoul, South Korea | F-8620-2011 | Kim, Jae Joon | jinsung@yuhs.ac.kr;radiat@snu.ac.kr;jinsung@yuhs.ac; | |||
| 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 | Kim, Sungmin | Kim, S | 6 | Dong A Univ, Dept Radiat Oncol, Dong A Univ Hosp, Coll Med, Pusan, South Korea | IXD-7702-2023 | KIM, MINJI | jinsung@yuhs.ac.kr;radiat@snu.ac.kr;jinsung@yuhs.ac; | |||
| 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 | Cha, Hyejung | Cha, H | 7 | Yonsei Univ, Wonju Coll Med, Dept Radiat Oncol, Wonju, South Korea | jinsung@yuhs.ac.kr;radiat@snu.ac.kr;jinsung@yuhs.ac; | |||||
| 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 | Cho, Oyeon | Cho, O | 8 | Ajou Univ, Sch Med, Dept Radiat Oncol, Suwon, South Korea | jinsung@yuhs.ac.kr;radiat@snu.ac.kr;jinsung@yuhs.ac; | |||||
| 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 | Choi, Jin Hwa | Choi, JH | 9 | Chung Ang Univ Hosp, Dept Radiat Oncol, Seoul, South Korea | LWZ-8057-2024 | CHOI, JIN HWA | jinsung@yuhs.ac.kr;radiat@snu.ac.kr;jinsung@yuhs.ac; | |||
| 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 | Kim, Myungsoo | Kim, M | 10 | Catholic Univ Korea, Incheon St Marys Hosp, Coll Med, Dept Radiat Oncol, Seoul, South Korea | 0000-0002-0651-549X | Kim, Myungsoo | jinsung@yuhs.ac.kr;radiat@snu.ac.kr;jinsung@yuhs.ac; | |||
| 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 | Kim, Juree | Kim, J | 11 | 교신저자 | CHA Univ, Ilsan CHA Med Ctr, Dept Radiat Oncol, Sch Med, Goyang, South Korea | jinsung@yuhs.ac.kr;radiat@snu.ac.kr;jinsung@yuhs.ac; | ||||
| 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 | Kim, Tae Gyu | Kim, TG | 12 | Sungkyunkwan Univ, Samsung Changwon Hosp, Dept Radiat Oncol, Sch Med, Chang Won, South Korea | AAL-8552-2021 | Kim, Tae | jinsung@yuhs.ac.kr;radiat@snu.ac.kr;jinsung@yuhs.ac; | |||
| 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 | Yeo, Seung-Gu | Yeo, SG | 13 | Soonchunhyang Univ, Coll Med, Soonchunhyang Univ Hosp, Dept Radiat Oncol, Bucheon, South Korea | AGU-7265-2022 | Yeo, Seung-Gu | jinsung@yuhs.ac.kr;radiat@snu.ac.kr;jinsung@yuhs.ac; | |||
| 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 | Chang, Ah Ram | Chang, AR | 14 | Soonchunhyang Univ, Coll Med, Dept Radiat Oncol, Seoul, South Korea | jinsung@yuhs.ac.kr;radiat@snu.ac.kr;jinsung@yuhs.ac; | |||||
| 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 | Ahn, Sung-Ja | Ahn, SJ | 15 | Chonnam Natl Univ, Med Sch, Dept Radiat Oncol, Gwangju, South Korea | jinsung@yuhs.ac.kr;radiat@snu.ac.kr;jinsung@yuhs.ac; |
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