2024 연구성과별 연구자 정보 (3 / 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, Nalee | Kim, N | 26 | Sungkyunkwan Univ, Sch Med, Samsung Med Ctr, Dept Radiat Oncol, Seoul, South Korea | KGK-4760-2024 | Kim, Nalee | 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) | Park, Hae Jin | Park, HJ | 27 | Hanyang 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) | Im, Jung Ho | Im, JH | 28 | CHA Univ, CHA Bundang Med Ctr, Dept Radiat Oncol, Sch 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) | Lee, Sea-Won | Lee, SW | 29 | Catholic Univ Korea, Coll Med, Eunpyeong St Marys Hosp, 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) | Cho, Yeona | Cho, Y | 30 | Yonsei Univ, Coll Med, Gangnam Severance Hosp, 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) | Lee, Sun Young | Lee, SY | 31 | Chonbuk Natl Univ Hosp, Dept Radiat Oncol, Jeonju, 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, Ji Hyun | Chang, JH | 32 | Seoul Natl 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) | Chun, Jaehee | Chun, J | 33 | 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) | Lee, Eung Man | Lee, EM | 34 | 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, Jin Sung | Kim, JS | 35 | 교신저자 | 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 Sung | Kim, JS | 35 | 교신저자 | Oncosoft Inc, 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 Sung | Kim, JS | 35 | 교신저자 | Yonsei Univ, Coll Med, 50 Yonsei Ro, 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) | Shin, Kyung Hwan | Shin, KH | 36 | 교신저자 | Seoul Natl 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) | Shin, Kyung Hwan | Shin, KH | 36 | 교신저자 | Seoul Natl Univ, Coll Med, 103 Daehak Ro, 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, Yong Bae | Kim, YB | 37 | Yonsei Univ, Coll Med, Dept Radiat Oncol, Seoul, South Korea | R-3111-2019 | KIM, Yong | jinsung@yuhs.ac;radiat@snu.ac.kr; |
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