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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
Low-temperature catalytic CO2 methanation over nickel supported on praseodymium oxide Park, Junseo Park, J 7 Gwangju Inst Sci & Technol, Dept Environm & Energy Engn, Gwangju 61005, South Korea sbkang@gist.ac.kr;
Low-temperature catalytic CO2 methanation over nickel supported on praseodymium oxide Kim, Young Jin Kim, YJ 8 Kyungpook Natl Univ, Dept Environm Engn, 80 Daehak Ro, Daegu 41566, South Korea 0000-0002-1593-7678 Kim, Young Jin sbkang@gist.ac.kr;
Low-temperature catalytic CO2 methanation over nickel supported on praseodymium oxide Kang, Sung Bong Kang, SB 9 교신저자 Gwangju Inst Sci & Technol, Dept Environm & Energy Engn, Gwangju 61005, South Korea sbkang@gist.ac.kr;
Low-temperature catalytic CO2 methanation over nickel supported on praseodymium oxide Kang, Sung Bong Kang, SB 9 교신저자 Gwangju Inst Sci & Technol, Res Ctr Innovat Energy & Carbon Optimized Synth Ch, Gwangju 61005, South Korea sbkang@gist.ac.kr;
Lumbar Spinal Stenosis Grading in Multiple Level Magnetic Resonance Imaging Using Deep Convolutional Neural Networks Won, Dongkyu Won, D 1 Daegu Gyeongbuk Inst Sci & Technol, Dept Robot & Mechatron Engn, 333 Techno Jungang Daero, Daegu 42988, South Korea sjleeleesj@gnuh.co.kr;
Lumbar Spinal Stenosis Grading in Multiple Level Magnetic Resonance Imaging Using Deep Convolutional Neural Networks Lee, Hyun-Joo Lee, HJ 2 Kyungpook Natl Univ, Sch Med, Dept Orthopaed Surg, Daegu, South Korea sjleeleesj@gnuh.co.kr;
Lumbar Spinal Stenosis Grading in Multiple Level Magnetic Resonance Imaging Using Deep Convolutional Neural Networks Lee, Hyun-Joo Lee, HJ 2 Kyungpook Natl Univ, Inst Med Device & Robot, Daegu, South Korea sjleeleesj@gnuh.co.kr;
Lumbar Spinal Stenosis Grading in Multiple Level Magnetic Resonance Imaging Using Deep Convolutional Neural Networks Lee, Suk-Joong Lee, SJ 3 교신저자 Gyeongsang Natl Univ, Coll Med, Dept Orthopaed Surg, Chang Won, South Korea 0000-0002-6769-6474 Lee, Suk Joong sjleeleesj@gnuh.co.kr;
Lumbar Spinal Stenosis Grading in Multiple Level Magnetic Resonance Imaging Using Deep Convolutional Neural Networks Lee, Suk-Joong Lee, SJ 3 교신저자 Gyeongsang Natl Univ, Changwon Hosp, Chang Won, South Korea 0000-0002-6769-6474 Lee, Suk Joong sjleeleesj@gnuh.co.kr;
Lumbar Spinal Stenosis Grading in Multiple Level Magnetic Resonance Imaging Using Deep Convolutional Neural Networks Park, Sang Hyun Park, SH 4 교신저자 Daegu Gyeongbuk Inst Sci & Technol, Dept Robot & Mechatron Engn, 333 Techno Jungang Daero, Daegu 42988, South Korea sjleeleesj@gnuh.co.kr;
Machine learning assessment of zoonotic potential in avian influenza viruses using PB2 segment Kim, Sangwook Kim, S 1 Kyungpook Natl Univ Hosp, Biomed Res Inst, Daegu, South Korea cylee87@knu.ac.kr; jeongsm00@gmail.com;
Machine learning assessment of zoonotic potential in avian influenza viruses using PB2 segment Kim, Min-Ah Kim, MA 2 Kyungpook Natl Univ, Sch Med, Dept Microbiol, Daegu, South Korea cylee87@knu.ac.kr; jeongsm00@gmail.com;
Machine learning assessment of zoonotic potential in avian influenza viruses using PB2 segment Kim, Bitgoeul Kim, B 3 Kyungpook Natl Univ, Sch Med, Dept Microbiol, Daegu, South Korea cylee87@knu.ac.kr; jeongsm00@gmail.com;
Machine learning assessment of zoonotic potential in avian influenza viruses using PB2 segment Lee, Jisu Lee, J 4 Kyungpook Natl Univ, Sch Med, Dept Microbiol, Daegu, South Korea cylee87@knu.ac.kr; jeongsm00@gmail.com;
Machine learning assessment of zoonotic potential in avian influenza viruses using PB2 segment Jung, Se-Kyung Jung, SK 5 Kyungpook Natl Univ, Sch Med, Dept Microbiol, Daegu, South Korea cylee87@knu.ac.kr; jeongsm00@gmail.com;
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