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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: A Multi-institutional Study (KROG 18-07) | Kim, I. H. | Kim, IH | 4 | Seoul Natl Univ Hosp, Dept Radiat Oncol, Seoul, South Korea | F-4594-2014 | Kim, Hee | ||||
| Machine Learning Model to Predict Pseudoprogression versus Progression in Glioblastoma: A Multi-institutional Study (KROG 18-07) | Lim, D. H. | Lim, DH | 5 | Sungkyunkwan Univ, Sch Med, Samsung Med Ctr, Seoul, South Korea | ||||||
| Machine Learning Model to Predict Pseudoprogression versus Progression in Glioblastoma: A Multi-institutional Study (KROG 18-07) | Park, S. H. | Park, SH | 6 | Kyungpook Natl Univ, Med Ctr, Daegu, South Korea | ||||||
| Machine Learning Model to Predict Pseudoprogression versus Progression in Glioblastoma: A Multi-institutional Study (KROG 18-07) | Lee, J. H. | Lee, JH | 7 | Pusan Natl Univ Hosp, Dept Radiat Oncol, Busan, South Korea | J-2154-2015 | Lee, Hye | ||||
| Machine Learning Model to Predict Pseudoprogression versus Progression in Glioblastoma: A Multi-institutional Study (KROG 18-07) | Chang, J. H. | Chang, JH | 8 | Seoul Natl Univ, Boramae Med Ctr, Seoul Metropolitan Govt, Dept Radiat Oncol, Seoul, South Korea | ||||||
| Machine Learning Model to Predict Pseudoprogression versus Progression in Glioblastoma: A Multi-institutional Study (KROG 18-07) | Cho, K. H. | Cho, KH | 9 | Natl Canc Ctr, Proton Therapy Ctr, Goyang Si, Gyeonggi Do, South Korea | AFA-1420-2022 | Cho, Hwa Jin | ||||
| Machine Learning Model to Predict Pseudoprogression versus Progression in Glioblastoma: A Multi-institutional Study (KROG 18-07) | Kim, J. H. | Kim, JH | 10 | Keimyung Univ, Sch Med, Dongsan Med Ctr, Dept Radiat Oncol, Daegu, South Korea | ||||||
| Machine Learning Model to Predict Pseudoprogression versus Progression in Glioblastoma: A Multi-institutional Study (KROG 18-07) | Sunwoo, L. | Sunwoo, L | 11 | Seoul Natl Univ, Bundang Hosp, Dept Radiol, Seongnam, South Korea | ||||||
| Machine Learning Model to Predict Pseudoprogression versus Progression in Glioblastoma: A Multi-institutional Study (KROG 18-07) | Choi, S. H. | Choi, SH | 12 | Seoul Natl Univ, Coll Med, Dept Radiol, Seoul, South Korea | AAE-2350-2021 | Choi, Sung-Hwan | ||||
| Machine Learning Model to Predict Pseudoprogression versus Progression in Glioblastoma: A Multi-institutional Study (KROG 18-07) | Kim, I. A. | Kim, IA | 13 | Seoul Natl Univ, Seoul, South Korea | ||||||
| Machine Learning-Based Code Auto-Completion Implementation for Firmware Developers | Kim, Junghyun | Kim, J | 1 | Georgia Inst Technol, Sch Computat Sci & Engn, Atlanta, GA 30332 USA | 0000-0002-8762-6991 | Kim, Junghyun | andy.kim@gatech.edu;klee400@knu.ac.kr;sh518.choi@samsung.com; | |||
| Machine Learning-Based Code Auto-Completion Implementation for Firmware Developers | Lee, Kyuman | Lee, K | 2 | 교신저자 | Kyungpook Natl Univ, Dept Robot & Smart Syst Engn, Daegu 41566, South Korea | AAM-6979-2020 | lee, kyuman | 0000-0003-0755-9635 | Lee, Kyuman | andy.kim@gatech.edu;klee400@knu.ac.kr;sh518.choi@samsung.com; |
| Machine Learning-Based Code Auto-Completion Implementation for Firmware Developers | Choi, Sanghyun | Choi, S | 3 | Samsung Elect, Memory SW Dev Team, Hwasung 18448, South Korea | andy.kim@gatech.edu;klee400@knu.ac.kr;sh518.choi@samsung.com; | |||||
| Machine learning-based prediction models for formation energies of interstitial atoms in HCP crystals | You, Daegun | You, D | 1 | Sungkyunkwan Univ, Sch Mech Engn, Suwon, Gyeonggi Do, South Korea | 0000-0002-9435-0452 | you, daegun | wy.shin@yonsei.ac.kr;dongwoolee@skku.edu; | |||
| Machine learning-based prediction models for formation energies of interstitial atoms in HCP crystals | Ganorkar, Shraddha | Ganorkar, S | 2 | Sungkyunkwan Univ, Sch Mech Engn, Suwon, Gyeonggi Do, South Korea | 0000-0001-7933-3796 | Ganorkar, Shraddha | wy.shin@yonsei.ac.kr;dongwoolee@skku.edu; |
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