연구성과로 돌아가기

2022 연구성과별 연구자 정보 (997 / 2879)

※ 현재 Web of Science 저자 정보만 집계되어 있습니다.
※ 컨트롤 + 클릭으로 열별 다중 정렬 가능합니다.
Excel 다운로드
Document Title Author Full Name Author Short Name Index Corresponding Address ResearcherID ResearcherID Author Name ORCID ORCID Author Name Related Email
Fe-promoted V/W/TiO2 catalysts for enhanced low-temperature denitrification efficiency Yu, Kwangsun Yu, KS 4 Korea Inst Energy Res KIER, Fine Dust Res Dept, 152 Gajeongro, Daejeon 34129, South Korea kyuchul.shin@knu.ac.kr;smhwang@kier.re.kr;
Fe-promoted V/W/TiO2 catalysts for enhanced low-temperature denitrification efficiency Shin, Kyuchul Shin, K 5 교신저자 Kyungpook Natl Univ, Dept Appl Chem, Daegu 41566, South Korea kyuchul.shin@knu.ac.kr;smhwang@kier.re.kr;
Fe-promoted V/W/TiO2 catalysts for enhanced low-temperature denitrification efficiency Hwang, Sun-Mi Hwang, SM 6 교신저자 Korea Inst Energy Res KIER, Fine Dust Res Dept, 152 Gajeongro, Daejeon 34129, South Korea LBH-0692-2024 Hwang, Sun-Mi 0000-0003-1526-2479 Hwang, Sun-Mi kyuchul.shin@knu.ac.kr;smhwang@kier.re.kr;
Feasibility of Deep Learning-Based Noise and Artifact Reduction in Coronal Reformation of Contrast-Enhanced Chest Computed Tomography Kang, Eun-Ju Kang, EJ 1 교신저자 Dong A Univ, Coll Med, Dept Radiol, 1,3 Ga Dongdaesin Dong, Busan 49201, South Korea N-7376-2015 Kang, Eun-Ju medcarrot@dau.ac.kr;
Feasibility of Deep Learning-Based Noise and Artifact Reduction in Coronal Reformation of Contrast-Enhanced Chest Computed Tomography Park, Hyoung Suk Park, HS 2 Natl Inst Math Sci, Div Med Math, Daejeon, South Korea medcarrot@dau.ac.kr;
Feasibility of Deep Learning-Based Noise and Artifact Reduction in Coronal Reformation of Contrast-Enhanced Chest Computed Tomography Jeon, Kiwan Jeon, K 3 Natl Inst Math Sci, Div Med Math, Daejeon, South Korea medcarrot@dau.ac.kr;
Feasibility of Deep Learning-Based Noise and Artifact Reduction in Coronal Reformation of Contrast-Enhanced Chest Computed Tomography Lee, Ji Won Lee, JW 4 Pusan Natl Univ, Sch Med, Pusan Natl Univ Hosp, Dept Radiol, Busan, South Korea CAJ-1171-2022 Lee, Jiwon medcarrot@dau.ac.kr;
Feasibility of Deep Learning-Based Noise and Artifact Reduction in Coronal Reformation of Contrast-Enhanced Chest Computed Tomography Lee, Ji Won Lee, JW 4 Med Res Inst, Busan, South Korea CAJ-1171-2022 Lee, Jiwon medcarrot@dau.ac.kr;
Feasibility of Deep Learning-Based Noise and Artifact Reduction in Coronal Reformation of Contrast-Enhanced Chest Computed Tomography Lim, Jae-Kwang Lim, JK 5 Kyungpook Natl Univ, Sch Med, Dept Radiol, Daegu, South Korea medcarrot@dau.ac.kr;
Feasibility of Gd-Based prostate cancer targeted magnetic resonance agents using prostate specific membrane antigen Yang, Ji-ung Yang, JU 1 Korea Inst Radiol Med Sci KIRAMS, Div Appl RI, Seoul 01812, South Korea jpark@kirams.re.kr;
Feasibility of Gd-Based prostate cancer targeted magnetic resonance agents using prostate specific membrane antigen Yang, Ji-ung Yang, JU 1 Kyungpook Natl Univ, Dept Med Biol Engn, Daegu 41566, South Korea jpark@kirams.re.kr;
Feasibility of Gd-Based prostate cancer targeted magnetic resonance agents using prostate specific membrane antigen Kim, Soyeon Kim, S 2 Korea Inst Radiol Med Sci KIRAMS, Div Appl RI, Seoul 01812, South Korea 0000-0002-4386-1543 Kim, Soyeon jpark@kirams.re.kr;
Feasibility of Gd-Based prostate cancer targeted magnetic resonance agents using prostate specific membrane antigen Ahn, Jae Hun Ahn, JH 3 Korea Inst Radiol Med Sci KIRAMS, Div Appl RI, Seoul 01812, South Korea jpark@kirams.re.kr;
Feasibility of Gd-Based prostate cancer targeted magnetic resonance agents using prostate specific membrane antigen Ahn, Jae Hun Ahn, JH 3 Seoul Natl Univ, Grad Sch Translat Med, Coll Med, Seoul 03080, South Korea jpark@kirams.re.kr;
Feasibility of Gd-Based prostate cancer targeted magnetic resonance agents using prostate specific membrane antigen Kim, Min Hwan Kim, MH 4 FutureChem Co Ltd, Res Inst Labeling, Seoul 04794, South Korea 0000-0002-6226-8497 Kim, Min Hwan jpark@kirams.re.kr;
페이지 이동: