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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
Machine Learning Model to Predict Pseudoprogression Versus Progression in Glioblastoma Using MRI: A Multi-Institutional Study (KROG 18-07) Kim, Il Han Kim, IH 4 Seoul Natl Univ Hosp, Dept Radiat Oncol, Seoul 03080, South Korea bigwiz83@gmail.com;parkukkyu@daum.net;hyck9004@naver.com;ihkim@snu.ac.kr;dh8lim@skku.edu;shinhyungpark@knu.ac.kr;drleejuhye@gmail.com;jh.chang@snu.ac.kr;kwancho@ncc.re.kr;jhkim@dsmc.or.kr;leonard.sunwoo@gmail.com;verocay1@snu.ac.kr;inah228@snu.ac.kr;
Machine Learning Model to Predict Pseudoprogression Versus Progression in Glioblastoma Using MRI: A Multi-Institutional Study (KROG 18-07) Lim, Do Hoon Lim, DH 5 Sungkyunkwan Univ, Dept Radiat Oncol, Samsung Med Ctr, Sch Med, Seoul 06351, South Korea bigwiz83@gmail.com;parkukkyu@daum.net;hyck9004@naver.com;ihkim@snu.ac.kr;dh8lim@skku.edu;shinhyungpark@knu.ac.kr;drleejuhye@gmail.com;jh.chang@snu.ac.kr;kwancho@ncc.re.kr;jhkim@dsmc.or.kr;leonard.sunwoo@gmail.com;verocay1@snu.ac.kr;inah228@snu.ac.kr;
Machine Learning Model to Predict Pseudoprogression Versus Progression in Glioblastoma Using MRI: A Multi-Institutional Study (KROG 18-07) Park, Shin-Hyung Park, SH 6 Kyungpook Natl Univ, Sch Med, Dept Radiat Oncol, Daegu 41944, South Korea LNQ-6428-2024 Park, Shinhyung bigwiz83@gmail.com;parkukkyu@daum.net;hyck9004@naver.com;ihkim@snu.ac.kr;dh8lim@skku.edu;shinhyungpark@knu.ac.kr;drleejuhye@gmail.com;jh.chang@snu.ac.kr;kwancho@ncc.re.kr;jhkim@dsmc.or.kr;leonard.sunwoo@gmail.com;verocay1@snu.ac.kr;inah228@snu.ac.kr;
Machine Learning Model to Predict Pseudoprogression Versus Progression in Glioblastoma Using MRI: A Multi-Institutional Study (KROG 18-07) Lee, Ju Hye Lee, JH 7 Pusan Natl Univ Hosp, Dept Radiat Oncol, Busan 49241, South Korea 0000-0002-6758-6822 Lee, Ju Hye bigwiz83@gmail.com;parkukkyu@daum.net;hyck9004@naver.com;ihkim@snu.ac.kr;dh8lim@skku.edu;shinhyungpark@knu.ac.kr;drleejuhye@gmail.com;jh.chang@snu.ac.kr;kwancho@ncc.re.kr;jhkim@dsmc.or.kr;leonard.sunwoo@gmail.com;verocay1@snu.ac.kr;inah228@snu.ac.kr;
Machine Learning Model to Predict Pseudoprogression Versus Progression in Glioblastoma Using MRI: A Multi-Institutional Study (KROG 18-07) Chang, Ji Hyun Chang, JH 8 Seoul Natl Univ Hosp, Dept Radiat Oncol, Seoul 03080, South Korea 0000-0001-5921-5522 Chang, Ji Hyun bigwiz83@gmail.com;parkukkyu@daum.net;hyck9004@naver.com;ihkim@snu.ac.kr;dh8lim@skku.edu;shinhyungpark@knu.ac.kr;drleejuhye@gmail.com;jh.chang@snu.ac.kr;kwancho@ncc.re.kr;jhkim@dsmc.or.kr;leonard.sunwoo@gmail.com;verocay1@snu.ac.kr;inah228@snu.ac.kr;
Machine Learning Model to Predict Pseudoprogression Versus Progression in Glioblastoma Using MRI: A Multi-Institutional Study (KROG 18-07) Cho, Kwan Ho Cho, KH 9 Natl Canc Ctr, Proton Therapy Ctr, Res Inst & Hosp, Goyang 10408, South Korea AFA-1420-2022 Cho, Hwa Jin bigwiz83@gmail.com;parkukkyu@daum.net;hyck9004@naver.com;ihkim@snu.ac.kr;dh8lim@skku.edu;shinhyungpark@knu.ac.kr;drleejuhye@gmail.com;jh.chang@snu.ac.kr;kwancho@ncc.re.kr;jhkim@dsmc.or.kr;leonard.sunwoo@gmail.com;verocay1@snu.ac.kr;inah228@snu.ac.kr;
Machine Learning Model to Predict Pseudoprogression Versus Progression in Glioblastoma Using MRI: A Multi-Institutional Study (KROG 18-07) Kim, Jin Hee Kim, JH 10 Keimyung Univ, Dept Radiat Oncol, Dongsan Med Ctr, Sch Med, Daegu 42601, South Korea F-4594-2014 Kim, Hee 0000-0001-8608-9250 Kim, Jin Hee bigwiz83@gmail.com;parkukkyu@daum.net;hyck9004@naver.com;ihkim@snu.ac.kr;dh8lim@skku.edu;shinhyungpark@knu.ac.kr;drleejuhye@gmail.com;jh.chang@snu.ac.kr;kwancho@ncc.re.kr;jhkim@dsmc.or.kr;leonard.sunwoo@gmail.com;verocay1@snu.ac.kr;inah228@snu.ac.kr;
Machine Learning Model to Predict Pseudoprogression Versus Progression in Glioblastoma Using MRI: A Multi-Institutional Study (KROG 18-07) Sunwoo, Leonard Sunwoo, L 11 Seoul Natl Univ, Dept Radiol, Bundang Hosp, Seongnam 13620, South Korea 0000-0003-0374-8658 Sunwoo, Leonard bigwiz83@gmail.com;parkukkyu@daum.net;hyck9004@naver.com;ihkim@snu.ac.kr;dh8lim@skku.edu;shinhyungpark@knu.ac.kr;drleejuhye@gmail.com;jh.chang@snu.ac.kr;kwancho@ncc.re.kr;jhkim@dsmc.or.kr;leonard.sunwoo@gmail.com;verocay1@snu.ac.kr;inah228@snu.ac.kr;
Machine Learning Model to Predict Pseudoprogression Versus Progression in Glioblastoma Using MRI: A Multi-Institutional Study (KROG 18-07) Choi, Seung Hong Choi, SH 12 Seoul Natl Univ Hosp, Dept Radiol, Seoul 03080, South Korea bigwiz83@gmail.com;parkukkyu@daum.net;hyck9004@naver.com;ihkim@snu.ac.kr;dh8lim@skku.edu;shinhyungpark@knu.ac.kr;drleejuhye@gmail.com;jh.chang@snu.ac.kr;kwancho@ncc.re.kr;jhkim@dsmc.or.kr;leonard.sunwoo@gmail.com;verocay1@snu.ac.kr;inah228@snu.ac.kr;
Machine Learning Model to Predict Pseudoprogression Versus Progression in Glioblastoma Using MRI: A Multi-Institutional Study (KROG 18-07) Kim, In Ah Kim, IA 13 교신저자 Seoul Natl Univ, Dept Radiat Oncol, Bundang Hosp, Seongnam 13620, South Korea J-5426-2012 Kim, In bigwiz83@gmail.com;parkukkyu@daum.net;hyck9004@naver.com;ihkim@snu.ac.kr;dh8lim@skku.edu;shinhyungpark@knu.ac.kr;drleejuhye@gmail.com;jh.chang@snu.ac.kr;kwancho@ncc.re.kr;jhkim@dsmc.or.kr;leonard.sunwoo@gmail.com;verocay1@snu.ac.kr;inah228@snu.ac.kr;
Machine Learning Model to Predict Pseudoprogression Versus Progression in Glioblastoma Using MRI: A Multi-Institutional Study (KROG 18-07) Kim, In Ah Kim, IA 13 교신저자 Seoul Natl Univ, Dept Radiat Oncol, Canc Res Inst, Seoul 03080, South Korea J-5426-2012 Kim, In bigwiz83@gmail.com;parkukkyu@daum.net;hyck9004@naver.com;ihkim@snu.ac.kr;dh8lim@skku.edu;shinhyungpark@knu.ac.kr;drleejuhye@gmail.com;jh.chang@snu.ac.kr;kwancho@ncc.re.kr;jhkim@dsmc.or.kr;leonard.sunwoo@gmail.com;verocay1@snu.ac.kr;inah228@snu.ac.kr;
Machine Learning Model to Predict Pseudoprogression Versus Progression in Glioblastoma Using MRI: A Multi-Institutional Study (KROG 18-07) Kim, In Ah Kim, IA 13 교신저자 Seoul Natl Univ, BK21 Four Smart Healthcare, Coll Med, Seoul 03080, South Korea J-5426-2012 Kim, In bigwiz83@gmail.com;parkukkyu@daum.net;hyck9004@naver.com;ihkim@snu.ac.kr;dh8lim@skku.edu;shinhyungpark@knu.ac.kr;drleejuhye@gmail.com;jh.chang@snu.ac.kr;kwancho@ncc.re.kr;jhkim@dsmc.or.kr;leonard.sunwoo@gmail.com;verocay1@snu.ac.kr;inah228@snu.ac.kr;
Machine Learning Model to Predict Pseudoprogression versus Progression in Glioblastoma: A Multi-institutional Study (KROG 18-07) Jang, B. S. Jang, BS 1 Seoul Natl Univ, Bundang Hosp, Seongnam, South Korea
Machine Learning Model to Predict Pseudoprogression versus Progression in Glioblastoma: A Multi-institutional Study (KROG 18-07) Park, A. J. Park, AJ 2 SELVAS AI Inc, Artificial Intelligence Res & Dev Lab, Seoul, South Korea
Machine Learning Model to Predict Pseudoprogression versus Progression in Glioblastoma: A Multi-institutional Study (KROG 18-07) Jeon, S. H. Jeon, SH 3 Korea Adv Inst Sci & Technol, Grad Sch Med Sci & Engn, Daejeon, South Korea
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