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2023 연구성과별 연구자 정보 (674 / 2675)

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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
Development of Static and Dynamic Colorimetric Analysis Techniques Using Image Sensors and Novel Image Processing Software for Chemical, Biological and Medical Applications Kang, Kitaek Kang, KT 3 WaferMasters Inc, Dublin, CA 94568 USA woosik.yoo@wafermasters.com;
Development of Static and Dynamic Colorimetric Analysis Techniques Using Image Sensors and Novel Image Processing Software for Chemical, Biological and Medical Applications Yoo, Yeongsik Yoo, Y 4 Dankook Univ, Coll Liberal Arts, Yongin 16890, South Korea woosik.yoo@wafermasters.com;
Development of Water Level Prediction Improvement Method Using Multivariate Time Series Data by GRU Model Park, Kidoo Park, K 1 Kyungpook Natl Univ, Emergency Management Inst, Fac Engn, Sangju 37224, Gyeongbuk, South Korea bnmjkl31@knu.ac.kr;
Development of Water Level Prediction Improvement Method Using Multivariate Time Series Data by GRU Model Seong, Yeongjeong Seong, Y 2 교신저자 Kyungpook Natl Univ, Fac Engn, Dept Adv Sci & Technol Convergence, Sangju 37224, Gyeongbuk, South Korea 0000-0001-8229-111X Seong, Yeonjeong bnmjkl31@knu.ac.kr;
Development of Water Level Prediction Improvement Method Using Multivariate Time Series Data by GRU Model Jung, Younghun Jung, YH 3 Kyungpook Natl Univ, Fac Engn, Dept Adv Sci & Technol Convergence, Sangju 37224, Gyeongbuk, South Korea bnmjkl31@knu.ac.kr;
Development of Water Level Prediction Improvement Method Using Multivariate Time Series Data by GRU Model Youn, Ilro Youn, I 4 Kyungpook Natl Univ, Fac Engn, Dept Construct & Disaster Prevent Engn, Sangju 37224, Gyeongbuk, South Korea bnmjkl31@knu.ac.kr;
Development of Water Level Prediction Improvement Method Using Multivariate Time Series Data by GRU Model Choi, Cheon Kyu Choi, CK 5 Korea Inst Civil Engn & Bldg Technol, Dept Hydro Sci & Engn Res, Goyang 10223, Gyeonggi, South Korea bnmjkl31@knu.ac.kr;
Development, validation, and comparison of a nomogram based on radiologic findings for predicting malignancy in intraductal papillary mucinous neoplasms of the pancreas: An international multicenter study Kim, Hyeong Seok Kim, HS 1 Seoul Natl Univ, Dept Surg, Coll Med, 101 Daehak Ro, Seoul 110744, South Korea 0000-0003-4711-3603 Kim, Hyeong Seok tspark@stats.snu.ac.kr;jangjy4@snu.ac.kr;
Development, validation, and comparison of a nomogram based on radiologic findings for predicting malignancy in intraductal papillary mucinous neoplasms of the pancreas: An international multicenter study Kim, Hyeong Seok Kim, HS 1 Seoul Natl Univ, Canc Res Inst, Coll Med, Seoul, South Korea 0000-0003-4711-3603 Kim, Hyeong Seok tspark@stats.snu.ac.kr;jangjy4@snu.ac.kr;
Development, validation, and comparison of a nomogram based on radiologic findings for predicting malignancy in intraductal papillary mucinous neoplasms of the pancreas: An international multicenter study Song, Wookyeong Song, W 2 Seoul Natl Univ, Dept Stat, Coll Nat Sci, Seoul, South Korea tspark@stats.snu.ac.kr;jangjy4@snu.ac.kr;
Development, validation, and comparison of a nomogram based on radiologic findings for predicting malignancy in intraductal papillary mucinous neoplasms of the pancreas: An international multicenter study Choo, Wonho Choo, W 3 Seoul Natl Univ, Dept Stat, Coll Nat Sci, Seoul, South Korea tspark@stats.snu.ac.kr;jangjy4@snu.ac.kr;
Development, validation, and comparison of a nomogram based on radiologic findings for predicting malignancy in intraductal papillary mucinous neoplasms of the pancreas: An international multicenter study Lee, Sungyoung Lee, S 4 Seoul Natl Univ Hosp, Ctr Precis Med, Seoul, South Korea ABA-8808-2020 Lee, Yoon tspark@stats.snu.ac.kr;jangjy4@snu.ac.kr;
Development, validation, and comparison of a nomogram based on radiologic findings for predicting malignancy in intraductal papillary mucinous neoplasms of the pancreas: An international multicenter study Han, Youngmin Han, Y 5 Seoul Natl Univ, Dept Surg, Coll Med, 101 Daehak Ro, Seoul 110744, South Korea tspark@stats.snu.ac.kr;jangjy4@snu.ac.kr;
Development, validation, and comparison of a nomogram based on radiologic findings for predicting malignancy in intraductal papillary mucinous neoplasms of the pancreas: An international multicenter study Han, Youngmin Han, Y 5 Seoul Natl Univ, Canc Res Inst, Coll Med, Seoul, South Korea tspark@stats.snu.ac.kr;jangjy4@snu.ac.kr;
Development, validation, and comparison of a nomogram based on radiologic findings for predicting malignancy in intraductal papillary mucinous neoplasms of the pancreas: An international multicenter study Bassi, Claudio Bassi, C 6 Univ Verona Hosp Trust, Pancreas Inst, Dept Gen & Pancreat Surg, Verona, Italy tspark@stats.snu.ac.kr;jangjy4@snu.ac.kr;
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