2024 연구성과별 연구자 정보 (1 / 2344)
※ 현재 Web of Science 저자 정보만 집계되어 있습니다.
※ 컨트롤 + 클릭으로 열별 다중 정렬 가능합니다.
Excel 다운로드
| 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) | Choi, Min Seo | Choi, MS | 1 | 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) | Chang, Jee Suk | Chang, JS | 2 | ABU-3301-2022 | Chang, Jee Suk | 0000-0001-7685-3382 | Chang, Jee Suk | 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, Kyubo | Kim, K | 3 | Ewha Womans 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) | Kim, Kyubo | Kim, K | 3 | Seoul Natl Univ, Bundang Hosp, Dept Radiat Oncol, Coll Med, Seongnam, 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, Jin Hee | Kim, JH | 4 | 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) | Kim, Jin Hee | Kim, JH | 4 | Keimyung Univ, Dongsan Med Ctr, Sch Med, Dept Radiat Oncol, Daegu, 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, Tae Hyung | Kim, TH | 5 | Eulji Univ, Nowon Eulji Med Ctr, Dept Radiat Oncol, Sch Med, 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) | Kim, Tae Hyung | Kim, TH | 5 | Sungkyunkwan Univ, Samsung Changwon Hosp, Dept Radiat Oncol, Sch Med, Chang Won, 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, Sungmin | Kim, S | 6 | 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) | Cha, Hyejung | Cha, H | 7 | Yonsei Univ, Wonju Coll Med, Dept Radiat Oncol, Wonju, 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) | Cho, Oyeon | Cho, O | 8 | Ajou Univ, Sch Med, Dept Radiat Oncol, Suwon, 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, Jin Hwa | Choi, JH | 9 | Chung Ang Univ Hosp, Dept Radiat Oncol, Seoul, South Korea | LWZ-8057-2024 | CHOI, JIN HWA | 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, Jin Hwa | Choi, JH | 9 | Jeju Univ, Jeju Natl Univ Hosp, Dept Radiat Oncol, Coll Med, Jeju, South Korea | LWZ-8057-2024 | CHOI, JIN HWA | 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, Myungsoo | Kim, M | 10 | Catholic Univ Korea, Incheon St Marys Hosp, 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) | Kim, Juree | Kim, J | 11 | 교신저자 | CHA Univ, Ilsan CHA Med Ctr, Dept Radiat Oncol, Sch Med, Goyang, South Korea | jinsung@yuhs.ac;radiat@snu.ac.kr; |
페이지 이동: