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2021 연구성과별 연구자 정보 (383 / 2991)

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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
Clinical usefulness of deep learning-based automated segmentation in intracranial hemorrhage Choe, Jae Young Choe, JY 4 Kyungpook Natl Univ, Sch Med, Dept Emergency Med, 130 Dongdeok Ro, Daegu 41944, South Korea kiss798@gmail.com;kim7155@knu.ac.kr;
Clinical usefulness of deep learning-based automated segmentation in intracranial hemorrhage Ahn, Jae Yun Ahn, JY 5 Kyungpook Natl Univ, Sch Med, Dept Emergency Med, 130 Dongdeok Ro, Daegu 41944, South Korea N-2652-2017 Ahn, Jae Yun 0000-0002-1050-8575 Ahn, Jae Yun kiss798@gmail.com;kim7155@knu.ac.kr;
Clinical usefulness of deep learning-based automated segmentation in intracranial hemorrhage Park, Sin-Youl Park, SY 6 Yeungnam Univ, Dept Emergency Med, Coll Med, Daegu, South Korea kiss798@gmail.com;kim7155@knu.ac.kr;
Clinical usefulness of deep learning-based automated segmentation in intracranial hemorrhage Lee, Suk Hee Lee, SH 7 Daegu Catholic Univ, Dept Emergency Med, Med Ctr, Daegu, South Korea kiss798@gmail.com;kim7155@knu.ac.kr;
Clinical usefulness of deep learning-based automated segmentation in intracranial hemorrhage Kwak, Youngseok Kwak, Y 8 Kyungpook Natl Univ, Sch Med, Dept Neurosurg, 130 Dongdeok Ro, Daegu 41944, South Korea kiss798@gmail.com;kim7155@knu.ac.kr;
Clinical usefulness of deep learning-based automated segmentation in intracranial hemorrhage Yoon, Sang-Youl Yoon, SY 9 Kyungpook Natl Univ, Sch Med, Dept Neurosurg, 130 Dongdeok Ro, Daegu 41944, South Korea kiss798@gmail.com;kim7155@knu.ac.kr;
Clinical usefulness of deep learning-based automated segmentation in intracranial hemorrhage Kim, Ki-Hong Kim, KH 10 Daegu Catholic Univ, Dept Neurosurg, Sch Med, Daegu, South Korea kiss798@gmail.com;kim7155@knu.ac.kr;
Clinical usefulness of deep learning-based automated segmentation in intracranial hemorrhage Kim, Myungsoo Kim, M 11 Kyungpook Natl Univ, Sch Med, Dept Neurosurg, 130 Dongdeok Ro, Daegu 41944, South Korea JAZ-0897-2023 Kim, Joo kiss798@gmail.com;kim7155@knu.ac.kr;
Clinical usefulness of deep learning-based automated segmentation in intracranial hemorrhage Chang, Sung Hyun Chang, SH 12 Kyungpook Natl Univ, Sch Med, Dept Neurosurg, 130 Dongdeok Ro, Daegu 41944, South Korea kiss798@gmail.com;kim7155@knu.ac.kr;
Clinical usefulness of deep learning-based automated segmentation in intracranial hemorrhage Son, Jeongwoo Son, J 13 Yeungnam Univ, Dept Emergency Med, Coll Med, Daegu, South Korea kiss798@gmail.com;kim7155@knu.ac.kr;
Clinical usefulness of deep learning-based automated segmentation in intracranial hemorrhage Cho, Junghwan Cho, J 14 CAIDE Syst Inc, Lowell, MA USA AAK-4752-2020 Cho, Junghwan 0000-0002-9715-1440 Cho, Junghwan kiss798@gmail.com;kim7155@knu.ac.kr;
Clinical usefulness of deep learning-based automated segmentation in intracranial hemorrhage Park, Ki-Su Park, KS 15 교신저자 Kyungpook Natl Univ, Sch Med, Dept Neurosurg, 130 Dongdeok Ro, Daegu 41944, South Korea kiss798@gmail.com;kim7155@knu.ac.kr;
Clinical usefulness of deep learning-based automated segmentation in intracranial hemorrhage Kim, Jong Kun Kim, JK 16 교신저자 Kyungpook Natl Univ, Sch Med, Dept Emergency Med, 130 Dongdeok Ro, Daegu 41944, South Korea kiss798@gmail.com;kim7155@knu.ac.kr;
Clinical usefulness of extraction-free PCR assay to detect SARS-CoV-2 Kim, Yu Kyung Kim, YK 1 Kyungpook Natl Univ, Sch Med, Dept Clin Pathol, Daegu, South Korea ISS-7678-2023 Kim, Young-Il 0000-0002-4699-8502 Kim, Yu Kyung marta10@hanmail.net;
Clinical usefulness of extraction-free PCR assay to detect SARS-CoV-2 Chang, Soon Hee Chang, SH 2 교신저자 Kyungpook Natl Univ, Sch Med, Dept Clin Pathol, Daegu, South Korea 0000-0003-3031-2200 Chang, Soon Hee marta10@hanmail.net;
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