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2020 연구자 정보 (183 / 997)
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| Author Name | 제1저자 여부 | 교신저자 여부 | Address | ResearcherID | ORCID | Paper Title | WoS Edition | 최상위 JCR(%) | WoS Category | Related Email |
|---|---|---|---|---|---|---|---|---|---|---|
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Kwak, D. W. (Kwak, DW) |
Ajou Univ, Sch Med, Suwon, South Korea |
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[JCR상위 7.8] Vaginal compared with intramuscular progestogen for preventing preterm birth in high-risk pregnant women (VICTORIA study): a multicentre, open-label randomised trial and meta-analysis | SCIE | 7.8 | OBSTETRICS & GYNECOLOGY | kkyj@ewha.ac.kr; | ||
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Kwon, J-Y (Kwon, JY) |
Yonsei Univ, Inst Womens Life Med Sci, Coll Med, Seoul, South Korea |
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0000-0003-3009-6325 Kwon, Ja-Young |
[JCR상위 7.8] Vaginal compared with intramuscular progestogen for preventing preterm birth in high-risk pregnant women (VICTORIA study): a multicentre, open-label randomised trial and meta-analysis | SCIE | 7.8 | OBSTETRICS & GYNECOLOGY | kkyj@ewha.ac.kr; | ||
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Lee, K. A. (Lee, KA) |
Kyung Hee Univ, Sch Med, Seoul, South Korea |
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[JCR상위 7.8] Vaginal compared with intramuscular progestogen for preventing preterm birth in high-risk pregnant women (VICTORIA study): a multicentre, open-label randomised trial and meta-analysis | SCIE | 7.8 | OBSTETRICS & GYNECOLOGY | kkyj@ewha.ac.kr; | ||
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Liu, Zhiyuan (Liu, ZY) |
Massachusetts Gen Hosp, Dept Radiol, Boston, MA 02114 USA |
I-2233-2014 Liu, Zhiyuan |
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[JCR상위 7.8] Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels | SCIE | 7.8 | COMPUTER SCIENCE, INFORMATION SYSTEMS;COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS;MATHEMATICAL & COMPUTATIONAL BIOLOGY;MEDICAL INFORMATICS | dwu6@mgh.harvard.edu;kgong@mgh.harvard.edu;carru@mgh.harvard.edu;fhomayounieh@mgh.harvard.edu;bbizzo@mgh.harvard.edu;varun.buch@mgh.harvard.edu;hren2@mgh.harvard.edu;kkim24@mgh.harvard.edu;nir.neumark@mgh.harvard.edu;pxu3@mgh.harvard.edu;zliu40@mgh.harvard.edu;wfang3@mgh.harvard.edu;nxie@mgh.harvard.edu;wytak@knu.ac.kr;psy@knu.ac.kr;deblue00@naver.com;kmggood111@naver.com;jgpark@ynu.ac.kr;profcarriero@virgilio.it;lucasabamd@gmail.com;mahsami141@gmail.com;rosa.babaei@gmail.com;hadi.karimimobin@gmail.com;sebrahimian@mgh.harvard.edu;idayan@partners.org;mkalra@mgh.harvard.edu;quanzheng@mgh.harvard.edu; | ||
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Masjedi, Mahsa (Masjedi, M) |
Shahid Beheshti Hosp, Dept Radiol, Kashan 00000, Iran |
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[JCR상위 7.8] Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels | SCIE | 7.8 | COMPUTER SCIENCE, INFORMATION SYSTEMS;COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS;MATHEMATICAL & COMPUTATIONAL BIOLOGY;MEDICAL INFORMATICS | dwu6@mgh.harvard.edu;kgong@mgh.harvard.edu;carru@mgh.harvard.edu;fhomayounieh@mgh.harvard.edu;bbizzo@mgh.harvard.edu;varun.buch@mgh.harvard.edu;hren2@mgh.harvard.edu;kkim24@mgh.harvard.edu;nir.neumark@mgh.harvard.edu;pxu3@mgh.harvard.edu;zliu40@mgh.harvard.edu;wfang3@mgh.harvard.edu;nxie@mgh.harvard.edu;wytak@knu.ac.kr;psy@knu.ac.kr;deblue00@naver.com;kmggood111@naver.com;jgpark@ynu.ac.kr;profcarriero@virgilio.it;lucasabamd@gmail.com;mahsami141@gmail.com;rosa.babaei@gmail.com;hadi.karimimobin@gmail.com;sebrahimian@mgh.harvard.edu;idayan@partners.org;mkalra@mgh.harvard.edu;quanzheng@mgh.harvard.edu; | ||
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Mobin, Hadi Karimi (Mobin, HK) |
Iran Univ Med Sci, Firoozgar Hosp, Dept Radiol, Tehran, Iran |
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[JCR상위 7.8] Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels | SCIE | 7.8 | COMPUTER SCIENCE, INFORMATION SYSTEMS;COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS;MATHEMATICAL & COMPUTATIONAL BIOLOGY;MEDICAL INFORMATICS | dwu6@mgh.harvard.edu;kgong@mgh.harvard.edu;carru@mgh.harvard.edu;fhomayounieh@mgh.harvard.edu;bbizzo@mgh.harvard.edu;varun.buch@mgh.harvard.edu;hren2@mgh.harvard.edu;kkim24@mgh.harvard.edu;nir.neumark@mgh.harvard.edu;pxu3@mgh.harvard.edu;zliu40@mgh.harvard.edu;wfang3@mgh.harvard.edu;nxie@mgh.harvard.edu;wytak@knu.ac.kr;psy@knu.ac.kr;deblue00@naver.com;kmggood111@naver.com;jgpark@ynu.ac.kr;profcarriero@virgilio.it;lucasabamd@gmail.com;mahsami141@gmail.com;rosa.babaei@gmail.com;hadi.karimimobin@gmail.com;sebrahimian@mgh.harvard.edu;idayan@partners.org;mkalra@mgh.harvard.edu;quanzheng@mgh.harvard.edu; | ||
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Na, S. (Na, S) |
Kangwon Natl Univ, Kangwon Natl Univ Hosp, Sch Med, Chunchon, South Korea |
AAE-3929-2022 Na, Sunghun |
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[JCR상위 7.8] Vaginal compared with intramuscular progestogen for preventing preterm birth in high-risk pregnant women (VICTORIA study): a multicentre, open-label randomised trial and meta-analysis | SCIE | 7.8 | OBSTETRICS & GYNECOLOGY | kkyj@ewha.ac.kr; | ||
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Neumark, Nir (Neumark, N) |
MGH & BWH Ctr Clin Data Sci, Boston, MA 02114 USA |
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[JCR상위 7.8] Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels | SCIE | 7.8 | COMPUTER SCIENCE, INFORMATION SYSTEMS;COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS;MATHEMATICAL & COMPUTATIONAL BIOLOGY;MEDICAL INFORMATICS | dwu6@mgh.harvard.edu;kgong@mgh.harvard.edu;carru@mgh.harvard.edu;fhomayounieh@mgh.harvard.edu;bbizzo@mgh.harvard.edu;varun.buch@mgh.harvard.edu;hren2@mgh.harvard.edu;kkim24@mgh.harvard.edu;nir.neumark@mgh.harvard.edu;pxu3@mgh.harvard.edu;zliu40@mgh.harvard.edu;wfang3@mgh.harvard.edu;nxie@mgh.harvard.edu;wytak@knu.ac.kr;psy@knu.ac.kr;deblue00@naver.com;kmggood111@naver.com;jgpark@ynu.ac.kr;profcarriero@virgilio.it;lucasabamd@gmail.com;mahsami141@gmail.com;rosa.babaei@gmail.com;hadi.karimimobin@gmail.com;sebrahimian@mgh.harvard.edu;idayan@partners.org;mkalra@mgh.harvard.edu;quanzheng@mgh.harvard.edu; | ||
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Oh, K. Y. (Oh, KY) |
Eulji Univ, Sch Med, Daejeon, South Korea |
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[JCR상위 7.8] Vaginal compared with intramuscular progestogen for preventing preterm birth in high-risk pregnant women (VICTORIA study): a multicentre, open-label randomised trial and meta-analysis | SCIE | 7.8 | OBSTETRICS & GYNECOLOGY | kkyj@ewha.ac.kr; | ||
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Ren, Hui (Ren, H) |
Massachusetts Gen Hosp, Dept Radiol, Boston, MA 02114 USA |
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[JCR상위 7.8] Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels | SCIE | 7.8 | COMPUTER SCIENCE, INFORMATION SYSTEMS;COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS;MATHEMATICAL & COMPUTATIONAL BIOLOGY;MEDICAL INFORMATICS | dwu6@mgh.harvard.edu;kgong@mgh.harvard.edu;carru@mgh.harvard.edu;fhomayounieh@mgh.harvard.edu;bbizzo@mgh.harvard.edu;varun.buch@mgh.harvard.edu;hren2@mgh.harvard.edu;kkim24@mgh.harvard.edu;nir.neumark@mgh.harvard.edu;pxu3@mgh.harvard.edu;zliu40@mgh.harvard.edu;wfang3@mgh.harvard.edu;nxie@mgh.harvard.edu;wytak@knu.ac.kr;psy@knu.ac.kr;deblue00@naver.com;kmggood111@naver.com;jgpark@ynu.ac.kr;profcarriero@virgilio.it;lucasabamd@gmail.com;mahsami141@gmail.com;rosa.babaei@gmail.com;hadi.karimimobin@gmail.com;sebrahimian@mgh.harvard.edu;idayan@partners.org;mkalra@mgh.harvard.edu;quanzheng@mgh.harvard.edu; | ||
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Saba, Luca (Saba, L) |
Azienda Osped Univ Policlin Cagliari, Radiol, I-09124 Cagliari, Italy |
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[JCR상위 7.8] Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels | SCIE | 7.8 | COMPUTER SCIENCE, INFORMATION SYSTEMS;COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS;MATHEMATICAL & COMPUTATIONAL BIOLOGY;MEDICAL INFORMATICS | dwu6@mgh.harvard.edu;kgong@mgh.harvard.edu;carru@mgh.harvard.edu;fhomayounieh@mgh.harvard.edu;bbizzo@mgh.harvard.edu;varun.buch@mgh.harvard.edu;hren2@mgh.harvard.edu;kkim24@mgh.harvard.edu;nir.neumark@mgh.harvard.edu;pxu3@mgh.harvard.edu;zliu40@mgh.harvard.edu;wfang3@mgh.harvard.edu;nxie@mgh.harvard.edu;wytak@knu.ac.kr;psy@knu.ac.kr;deblue00@naver.com;kmggood111@naver.com;jgpark@ynu.ac.kr;profcarriero@virgilio.it;lucasabamd@gmail.com;mahsami141@gmail.com;rosa.babaei@gmail.com;hadi.karimimobin@gmail.com;sebrahimian@mgh.harvard.edu;idayan@partners.org;mkalra@mgh.harvard.edu;quanzheng@mgh.harvard.edu; | ||
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Shim, J-Y (Shim, JY) |
Univ Ulsan, Asan Med Ctr, Coll Med, Seoul, South Korea |
C-5526-2012 Shim, Jae-Yoon |
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[JCR상위 7.8] Vaginal compared with intramuscular progestogen for preventing preterm birth in high-risk pregnant women (VICTORIA study): a multicentre, open-label randomised trial and meta-analysis | SCIE | 7.8 | OBSTETRICS & GYNECOLOGY | kkyj@ewha.ac.kr; | ||
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Talari, Hamidreza (Talari, H) |
Shahid Beheshti Hosp, Dept Radiol, Kashan 00000, Iran |
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[JCR상위 7.8] Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels | SCIE | 7.8 | COMPUTER SCIENCE, INFORMATION SYSTEMS;COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS;MATHEMATICAL & COMPUTATIONAL BIOLOGY;MEDICAL INFORMATICS | dwu6@mgh.harvard.edu;kgong@mgh.harvard.edu;carru@mgh.harvard.edu;fhomayounieh@mgh.harvard.edu;bbizzo@mgh.harvard.edu;varun.buch@mgh.harvard.edu;hren2@mgh.harvard.edu;kkim24@mgh.harvard.edu;nir.neumark@mgh.harvard.edu;pxu3@mgh.harvard.edu;zliu40@mgh.harvard.edu;wfang3@mgh.harvard.edu;nxie@mgh.harvard.edu;wytak@knu.ac.kr;psy@knu.ac.kr;deblue00@naver.com;kmggood111@naver.com;jgpark@ynu.ac.kr;profcarriero@virgilio.it;lucasabamd@gmail.com;mahsami141@gmail.com;rosa.babaei@gmail.com;hadi.karimimobin@gmail.com;sebrahimian@mgh.harvard.edu;idayan@partners.org;mkalra@mgh.harvard.edu;quanzheng@mgh.harvard.edu; | ||
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Wu, Dufan (Wu, DF) |
제1저자 | Massachusetts Gen Hosp, Dept Radiol, Boston, MA 02114 USA |
AFZ-1956-2022 Wu, Dufan |
0000-0002-3204-3502 Wu, Dufan |
[JCR상위 7.8] Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels | SCIE | 7.8 | COMPUTER SCIENCE, INFORMATION SYSTEMS;COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS;MATHEMATICAL & COMPUTATIONAL BIOLOGY;MEDICAL INFORMATICS | dwu6@mgh.harvard.edu;kgong@mgh.harvard.edu;carru@mgh.harvard.edu;fhomayounieh@mgh.harvard.edu;bbizzo@mgh.harvard.edu;varun.buch@mgh.harvard.edu;hren2@mgh.harvard.edu;kkim24@mgh.harvard.edu;nir.neumark@mgh.harvard.edu;pxu3@mgh.harvard.edu;zliu40@mgh.harvard.edu;wfang3@mgh.harvard.edu;nxie@mgh.harvard.edu;wytak@knu.ac.kr;psy@knu.ac.kr;deblue00@naver.com;kmggood111@naver.com;jgpark@ynu.ac.kr;profcarriero@virgilio.it;lucasabamd@gmail.com;mahsami141@gmail.com;rosa.babaei@gmail.com;hadi.karimimobin@gmail.com;sebrahimian@mgh.harvard.edu;idayan@partners.org;mkalra@mgh.harvard.edu;quanzheng@mgh.harvard.edu; | |
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Xie, Nuobei (Xie, NB) |
Massachusetts Gen Hosp, Dept Radiol, Boston, MA 02114 USA |
AAG-9180-2021 Xie, Nuobei |
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[JCR상위 7.8] Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels | SCIE | 7.8 | COMPUTER SCIENCE, INFORMATION SYSTEMS;COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS;MATHEMATICAL & COMPUTATIONAL BIOLOGY;MEDICAL INFORMATICS | dwu6@mgh.harvard.edu;kgong@mgh.harvard.edu;carru@mgh.harvard.edu;fhomayounieh@mgh.harvard.edu;bbizzo@mgh.harvard.edu;varun.buch@mgh.harvard.edu;hren2@mgh.harvard.edu;kkim24@mgh.harvard.edu;nir.neumark@mgh.harvard.edu;pxu3@mgh.harvard.edu;zliu40@mgh.harvard.edu;wfang3@mgh.harvard.edu;nxie@mgh.harvard.edu;wytak@knu.ac.kr;psy@knu.ac.kr;deblue00@naver.com;kmggood111@naver.com;jgpark@ynu.ac.kr;profcarriero@virgilio.it;lucasabamd@gmail.com;mahsami141@gmail.com;rosa.babaei@gmail.com;hadi.karimimobin@gmail.com;sebrahimian@mgh.harvard.edu;idayan@partners.org;mkalra@mgh.harvard.edu;quanzheng@mgh.harvard.edu; |
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