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2025 연구성과별 연구자 정보 (288 / 1187)

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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
Diagnosis and treatment of infectious endocarditis caused by Paenibacillus lautus in a small-breed dog: a case report Hong, Yeon-Jung Hong, YJ 5 교신저자 Western Referral Anim Med Ctr, Dept Vet Surg, Seoul 04101, South Korea 0000-0003-0922-9939 Hong, Yeon-Jung vetchae@knu.ac.kr; harleyyoon@hanmail.net; vethong@hanmail.net;
Diagnosis of winter precipitation types using the spectral bin model (version 1DSBM-19M): comparison of five methods using ICE-POP 2018 field experiment data Bang, Wonbae Bang, W 1 Kyungpook Natl Univ, Ctr Atmospher Remote Sensing CARE, Dept Atmospher Sci, Weather Extremes Educ & Res Team BK21, Daegu, South Korea gyuwon@knu.ac.kr;
Diagnosis of winter precipitation types using the spectral bin model (version 1DSBM-19M): comparison of five methods using ICE-POP 2018 field experiment data Carlin, Jacob T. Carlin, JT 2 NOAA, OAR Natl Severe Storms Lab, Norman, OK USA gyuwon@knu.ac.kr;
Diagnosis of winter precipitation types using the spectral bin model (version 1DSBM-19M): comparison of five methods using ICE-POP 2018 field experiment data Kim, Kwonil Kim, K 3 SUNY Stony Brook, Sch Marine & Atmospher Sci, Stony Brook, NY USA gyuwon@knu.ac.kr;
Diagnosis of winter precipitation types using the spectral bin model (version 1DSBM-19M): comparison of five methods using ICE-POP 2018 field experiment data Ryzhkov, Alexander V. Ryzhkov, AV 4 Univ Oklahoma, Cooperat Inst Severe & High Impact Weather Res & O, Norman, OK USA gyuwon@knu.ac.kr;
Diagnosis of winter precipitation types using the spectral bin model (version 1DSBM-19M): comparison of five methods using ICE-POP 2018 field experiment data Ryzhkov, Alexander V. Ryzhkov, AV 4 NOAA, OAR Natl Severe Storms Lab, Norman, OK USA gyuwon@knu.ac.kr;
Diagnosis of winter precipitation types using the spectral bin model (version 1DSBM-19M): comparison of five methods using ICE-POP 2018 field experiment data Liu, Guosheng Liu, GS 5 Florida State Univ, Dept Earth Ocean & Atmospher Sci, Tallahassee, FL USA gyuwon@knu.ac.kr;
Diagnosis of winter precipitation types using the spectral bin model (version 1DSBM-19M): comparison of five methods using ICE-POP 2018 field experiment data Lee, GyuWon Lee, GYW 6 교신저자 Kyungpook Natl Univ, Ctr Atmospher Remote Sensing CARE, Dept Atmospher Sci, Weather Extremes Educ & Res Team BK21, Daegu, South Korea gyuwon@knu.ac.kr;
Diagnostic Accuracy of a Deep Learning Algorithm for Detecting Unruptured Intracranial Aneurysms in Magnetic Resonance Angiography: A Multicenter Pivotal Trial Ryu, Wi-Sun Ryu, WS 1 JLK Inc, Artificial Intelligence Res Ctr, Seoul, South Korea 0000-0002-2823-5253 Ryu, Wi-Sun jparkneurosurgery@gmail.com;
Diagnostic Accuracy of a Deep Learning Algorithm for Detecting Unruptured Intracranial Aneurysms in Magnetic Resonance Angiography: A Multicenter Pivotal Trial Jeong, Sungmoon Jeong, S 2 Kyungpook Natl Univ, Sch Med, Dept Med Informat, Daegu, South Korea jparkneurosurgery@gmail.com;
Diagnostic Accuracy of a Deep Learning Algorithm for Detecting Unruptured Intracranial Aneurysms in Magnetic Resonance Angiography: A Multicenter Pivotal Trial Jeong, Sungmoon Jeong, S 2 Kyungpook Natl Univ Hosp, Res Ctr Artificial Intelligence Med, Daegu, South Korea jparkneurosurgery@gmail.com;
Diagnostic Accuracy of a Deep Learning Algorithm for Detecting Unruptured Intracranial Aneurysms in Magnetic Resonance Angiography: A Multicenter Pivotal Trial Park, Jaechan Park, J 3 교신저자 Kyungpook Natl Univ Hosp, Res Ctr Artificial Intelligence Med, Daegu, South Korea jparkneurosurgery@gmail.com;
Diagnostic Accuracy of a Deep Learning Algorithm for Detecting Unruptured Intracranial Aneurysms in Magnetic Resonance Angiography: A Multicenter Pivotal Trial Park, Jaechan Park, J 3 교신저자 Kyungpook Natl Univ, Sch Med, Dept Neurosurg, Daegu, South Korea jparkneurosurgery@gmail.com;
Diagnostic Accuracy of a Deep Learning Algorithm for Detecting Unruptured Intracranial Aneurysms in Magnetic Resonance Angiography: A Multicenter Pivotal Trial Park, Dougho Park, D 4 Pohang Stroke & Spine Hosp, Med Res Inst, Pohang, South Korea HHS-3971-2022 Park, Dougho 0000-0002-1288-470X PARK, DOUGHO jparkneurosurgery@gmail.com;
Diagnostic Accuracy of a Deep Learning Algorithm for Detecting Unruptured Intracranial Aneurysms in Magnetic Resonance Angiography: A Multicenter Pivotal Trial Park, Dougho Park, D 4 Pohang Univ Sci & Technol, Sch Convergence Sci & Technol, Pohang, South Korea HHS-3971-2022 Park, Dougho 0000-0002-1288-470X PARK, DOUGHO jparkneurosurgery@gmail.com;
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