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2022 연구성과별 연구자 정보 (473 / 2879)

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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
Classification of rotator cuff tears in ultrasound images using deep learning models Ho, Thao Thi Ho, TT 1 Kyungpook Natl Univ, Coll Engn, Sch Mech Engn, 80 Daehak Ro, Daegu 41566, South Korea 0000-0001-7009-248X Ho, Thao Thi s-choi@knu.ac.kr;eunkee.park@gmail.com;
Classification of rotator cuff tears in ultrasound images using deep learning models Kim, Geun-Tae Kim, GT 2 Kosin Univ, Coll Med, Dept Internal Med, 262 Gamcheon Ro, Busan 49267, South Korea s-choi@knu.ac.kr;eunkee.park@gmail.com;
Classification of rotator cuff tears in ultrasound images using deep learning models Kim, Taewoo Kim, T 3 Kyungpook Natl Univ, Coll Engn, Sch Mech Engn, 80 Daehak Ro, Daegu 41566, South Korea s-choi@knu.ac.kr;eunkee.park@gmail.com;
Classification of rotator cuff tears in ultrasound images using deep learning models Choi, Sanghun Choi, S 4 교신저자 Kyungpook Natl Univ, Coll Engn, Sch Mech Engn, 80 Daehak Ro, Daegu 41566, South Korea AGS-7430-2022 Choi, Sanghun 0000-0001-5030-0296 Choi, Sanghun s-choi@knu.ac.kr;eunkee.park@gmail.com;
Classification of rotator cuff tears in ultrasound images using deep learning models Park, Eun-Kee Park, EK 5 Kosin Univ, Coll Med, Dept Med Humanities & Social Med, 262 Gamcheon Ro, Busan 49267, South Korea s-choi@knu.ac.kr;eunkee.park@gmail.com;
Classification of the extreme points of Ls (2l3∞) by computation Guen, Kim Sung Guen, KS 1 교신저자 Kyungpook Natl Univ, Dept Math, Daegu 41566, South Korea sgk317@knu.ac.kr;
Classification of Transmission Modes through a Narrow Slot in a Thick Conducting Screen Kim, Ki-Chai Kim, KC 1 교신저자 Yeungnam Univ, Dept Elect Engn, Gyongsan, South Korea kckim@ynu.ac.kr;
Classification of Transmission Modes through a Narrow Slot in a Thick Conducting Screen Park, Gyeong-Sik Park, GS 2 SL Co, Gyongsan, South Korea kckim@ynu.ac.kr;
Classification of Transmission Modes through a Narrow Slot in a Thick Conducting Screen Min, Gyeong-Jun Min, GJ 3 Daegu Gyeongbuk Med Innovat Fdn DGMIF, Med Device Dev Ctr, Daegu, South Korea kckim@ynu.ac.kr;
Classification of Transmission Modes through a Narrow Slot in a Thick Conducting Screen Cho, Young-Ki Cho, YK 4 Kyungpook Natl Univ, Sch Elect Engn, Daegu, South Korea kckim@ynu.ac.kr;
Clinical adaptation of synthetic MRI-based whole brain volume segmentation in children at 3 T: comparison with modified SPM segmentation methods Lee, So Mi Lee, SM 1 Kyungpook Natl Univ, Sch Med, Dept Radiol, Daegu, South Korea ychang@knu.ac.kr;
Clinical adaptation of synthetic MRI-based whole brain volume segmentation in children at 3 T: comparison with modified SPM segmentation methods Lee, So Mi Lee, SM 1 Kyungpook Natl Univ, Dept Radiol, Chilgok Hosp, Daegu, South Korea ychang@knu.ac.kr;
Clinical adaptation of synthetic MRI-based whole brain volume segmentation in children at 3 T: comparison with modified SPM segmentation methods Kim, Eunji Kim, E 2 Kyungpook Natl Univ, Dept Med & Biol Engn, Daegu, South Korea ychang@knu.ac.kr;
Clinical adaptation of synthetic MRI-based whole brain volume segmentation in children at 3 T: comparison with modified SPM segmentation methods You, Sun Kyoung You, SK 3 Chungnam Natl Univ, Chungnam Natl Univ Hosp, Dept Radiol, Coll Med, Daejeon, South Korea ychang@knu.ac.kr;
Clinical adaptation of synthetic MRI-based whole brain volume segmentation in children at 3 T: comparison with modified SPM segmentation methods Cho, Hyun-Hae Cho, HH 4 Ewha Womans Univ, Coll Med, Dept Radiol, Anyangcheon Ro 1071, Seoul 07985, South Korea 0000-0002-4865-2601 Cho, Hyun-Hae ychang@knu.ac.kr;
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