Estimation of maximum non‐synchronous generation of renewable energy in the South Korea power system based on the minimum level of inertia von Im, Seunghyuk, Lee, Kyungsang, Lee, Byongjun

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Prediction of renewable energy hosting capacity using multiple linear regression in KEPCO system von Lee, Kyungsang, Im, Seunghyuk, Lee, Byongjun

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A data-driven frequency criteria assessment by determining system minimum level of inertia von Lee, Kyungsang, Im, Seunghyuk, Lee, Byongjun

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Consistency Verification of Frequency Maintenance Criteria Based on Minimum Level of Inertia in South Korea von Lee, Kyungsang, Im, Seunghyuk, Lee, Byongjun

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The Load Model Composition Method in Power Systems Using Artifcial Neural Network von Rae‑Jun Park, 송경빈, Kyungsang Lee(Korea Electric Power Corporation

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The Load Model Composition Method in Power Systems Using Artificial Neural Network von Park, Rae-Jun, Song, Kyung-Bin, Lee, Kyungsang

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Adverse Events With Sustained-Release Donepezil in Alzheimer Disease: Relation to Body Mass Index von Lee, Chunsoo, Lee, Kyungsang, Yu, Hyewon, Ryu, Seung-Ho, Moon, Seok Woo, Han, Changsu, Lee, Jun-Young, Lee, Young Min, Kim, Shin-Gyeom, Kim, Ki Woong, Lee, Dong Woo, Kim, Seong Yoon, Lee, Sang-Yeol, Bae, Jae Nam, Jung, Young-Eun, Kim, Jeong Lan, Kim, Byung-Soo, Shin, Il-Seon, Kim, Young Hoon, Kim, Bong Jo, Kang, Hyo Shin, Myung, Woojae, Carroll, Bernard J, Kim, Doh Kwan

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Advanced Daily Prediction Model for National Suicide Numbers with Social Media Data von KyungSang Lee, Hyewon Lee, Woojae Myung, GilYoung Song, Kihwang Lee, Ho Kim, Bernard J. Carroll, DohKwan Ki

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Serotonergic Dysfunction in Patients with Bipolar Disorder Assessed by the Loudness Dependence of the Auditory Evoked Potential von KyungSang Lee, YoungMin Park, SeungHwan Lee

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Backup power-supply system for emergency von CHEON, KYUNGYONG, MIN, KYUNGSEOL, LEE, KYUNGSANG

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Power-supply control system of peripheral equipment of computer von KIM, HEEJO, CHOI, BONGRAK, MIN, KYUNGSEOL, LEEM, JONGYONG, LEE, KYUNGSANG

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Personalized iPSC-Derived Dopamine Progenitor Cells for Parkinson’s Disease von Schweitzer, Jeffrey S, Song, Bin, Herrington, Todd M, Park, Tae-Yoon, Lee, Nayeon, Ko, Sanghyeok, Jeon, Jeha, Cha, Young, Kim, Kyungsang, Li, Quanzheng, Henchcliffe, Claire, Kaplitt, Michael, Neff, Carolyn, Rapalino, Otto, Seo, Hyemyung, Lee, In-Hee, Kim, Jisun, Kim, Taewoo, Petsko, Gregory A, Ritz, Jerome, Cohen, Bruce M, Kong, Sek-Won, Leblanc, Pierre, Carter, Bob S, Kim, Kwang-Soo

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Texture-preserving low dose CT image denoising using Pearson divergence von Oh, Jieun, Wu, Dufan, Hong, Boohwi, Lee, Dongheon, Kang, Minwoong, Li, Quanzheng, Kim, Kyungsang

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Personalized iPSC-Derived Dopamine Progenitor Cells for Parkinson’s Disease von Schweitzer, Jeffrey S., Song, Bin, Herrington, Todd M., Park, Tae-Yoon, Lee, Nayeon, Ko, Sanghyeok, Jeon, Jeha, Cha, Young, Kim, Kyungsang, Li, Quanzheng, Henchcliffe, Claire, Kaplitt, Michael, Neff, Carolyn, Rapalino, Otto, Seo, Hyemyung, Lee, In-Hee, Kim, Jisun, Kim, Taewoo, Petsko, Gregory A., Ritz, Jerome, Cohen, Bruce M., Kong, Sek-Won, Leblanc, Pierre, Carter, Bob S., Kim, Kwang-Soo

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Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19 von Zhong, Aoxiao, Li, Xiang, Wu, Dufan, Ren, Hui, Kim, Kyungsang, Kim, Younggon, Buch, Varun, Neumark, Nir, Bizzo, Bernardo, Tak, Won Young, Park, Soo Young, Lee, Yu Rim, Kang, Min Kyu, Park, Jung Gil, Kim, Byung Seok, Chung, Woo Jin, Guo, Ning, Dayan, Ittai, Kalra, Mannudeep K., Li, Quanzheng

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Efficient knowledge distillation for liver CT segmentation using growing assistant network von Xu, Pengcheng, Kim, Kyungsang, Koh, Jeongwan, Wu, Dufan, Rim Lee, Yu, Young Park, Soo, Young Tak, Won, Liu, Huafeng, Li, Quanzheng

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Low-dose computed tomography perceptual image quality assessment von Lee, Wonkyeong, Wagner, Fabian, Galdran, Adrian, Shi, Yongyi, Xia, Wenjun, Wang, Ge, Mou, Xuanqin, Ahamed, Md. Atik, Imran, Abdullah Al Zubaer, Oh, Ji Eun, Kim, Kyungsang, Baek, Jong Tak, Lee, Dongheon, Hong, Boohwi, Tempelman, Philip, Lyu, Donghang, Kuiper, Adrian, van Blokland, Lars, Calisto, Maria Baldeon, Hsieh, Scott, Han, Minah, Baek, Jongduk, Maier, Andreas, Wang, Adam, Gold, Garry Evan, Choi, Jang-Hwan

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Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels von Wu, Dufan, Gong, Kuang, Arru, Chiara Daniela, Homayounieh, Fatemeh, Bizzo, Bernardo, Buch, Varun, Ren, Hui, Kim, Kyungsang, Neumark, Nir, Xu, Pengcheng, Liu, Zhiyuan, Fang, Wei, Xie, Nuobei, Tak, Won Young, Park, Soo Young, Lee, Yu Rim, Kang, Min Kyu, Park, Jung Gil, Carriero, Alessandro, Saba, Luca, Masjedi, Mahsa, Talari, Hamidreza, Babaei, Rosa, Mobin, Hadi Karimi, Ebrahimian, Shadi, Dayan, Ittai, Kalra, Mannudeep K., Li, Quanzheng

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Deep Learning-Based Four-Region Lung Segmentation in Chest Radiography for COVID-19 Diagnosis von Kim, Young-Gon, Kim, Kyungsang, Wu, Dufan, Ren, Hui, Tak, Won Young, Park, Soo Young, Lee, Yu Rim, Kang, Min Kyu, Park, Jung Gil, Kim, Byung Seok, Chung, Woo Jin, Kalra, Mannudeep K, Li, Quanzheng

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A multi-center study of COVID-19 patient prognosis using deep learning-based CT image analysis and electronic health records von Gong, Kuang, Wu, Dufan, Arru, Chiara Daniela, Homayounieh, Fatemeh, Neumark, Nir, Guan, Jiahui, Buch, Varun, Kim, Kyungsang, Bizzo, Bernardo Canedo, Ren, Hui, Tak, Won Young, Park, Soo Young, Lee, Yu Rim, Kang, Min Kyu, Park, Jung Gil, Carriero, Alessandro, Saba, Luca, Masjedi, Mahsa, Talari, Hamidreza, Babaei, Rosa, Mobin, Hadi Karimi, Ebrahimian, Shadi, Guo, Ning, Digumarthy, Subba R., Dayan, Ittai, Kalra, Mannudeep K., Li, Quanzheng

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