Improving measurement of blood-brain barrier permeability with reduced scan time using deep-learning-derived capillary input function von Bae, Jonghyun, Li, Chenyang, Masurkar, Arjun, Ge, Yulin, Kim, Sungheon Gene

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Expression of Cholera Toxin (CT) and the Toxin Co-Regulated Pilus (TCP) by Variants of ToxT in Vibrio cholerae Strains von Lee, Donghyun, Choi, Hunseok, Son, Seonghyeon, Bae, Jonghyun, Joo, Jayun, Kim, Dong Wook, Kim, Eun Jin

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Natural hdr image tone mapping based on retinex von Kim, Kyungman, Bae, Jonghyun, Kim, Jaeseok

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Improving the estimation of subtle blood-brain barrier permeability changes in aging using a deep learning approach von Bae, Jonghyun, Ge, Yulin, Kim, Sungheon Gene

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Eager Memory Management for In-Memory Data Analytics von JANG, Hakbeom, BAE, Jonghyun, HAM, Tae Jun, LEE, Jae W.

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Erratum: Eager Memory Management for In-Memory Data Analytics [IEICE Transactions on Information and Systems Vol.E102.D (2019) , No.3 pp.632-636] von JANG, Hakbeom, BAE, Jonghyun, HAM, Tae Jun, LEE, Jae W.

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Measuring subtle Blood‐Brain Barrier permeability changes with reduced scan time in DCE‐MRI von Bae, Jonghyun, Ge, Yulin, Kim, Sungheon Gene

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Measuring subtle Blood‐Brain Barrier permeability changes with reduced scan time in DCE‐MRI von Bae, Jonghyun, Ge, Yulin, Kim, Sungheon Gene

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Harnessing myelin water fraction as an imaging biomarker of human cerebral aging, neurodegenerative diseases, and risk factors influencing myelination: A review von Faulkner, Mary E., Gong, Zhaoyuan, Guo, Alex, Laporte, John P., Bae, Jonghyun, Bouhrara, Mustapha

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Digital reference object toolkit of breast DCE MRI for quantitative evaluation of image reconstruction and analysis methods von Bae, Jonghyun, Tan, Zhengguo, Solomon, Eddy, Huang, Zhengnan, Heacock, Laura, Moy, Linda, Knoll, Florian, Kim, Sungheon Gene

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Effects of endometrial microbiota on immune tolerance at the maternal-fetal interface von Takada, Kazuhide, Jonghyun, Bae, Quang, Trinh Duy, Komine-Aizawa, Shihoko, Hayakawa, Satoshi

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Variations in the Antivirulence Effects of Fatty Acids and Virstatin against Vibrio cholerae Strains von Lee, Donghyun, Joo, Jayun, Choi, Hunseok, Son, Seonghyeon, Bae, Jonghyun, Kim, Dong Wook, Kim, Eun Jin

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Intracellular Expression of CTB in Vibrio cholerae Strains in Laboratory Culture Conditions von Choi, Hunseok, Son, Seonghyeon, Lee, Donghyun, Bae, Jonghyun, Seo, Eunyoung, Kim, Dong Wook, Kim, Eun Jin

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Evidence of association between higher cardiorespiratory fitness and higher cerebral myelination in aging von Faulkner, Mary E, Gong, Zhaoyuan, Bilgel, Murat, Laporte, John P, Guo, Alex, Bae, Jonghyun, Palchamy, Elango, Kaileh, Mary, Bergeron, Christopher M, Bergeron, Jan, Church, Sarah, D'Agostino, Jarod, Ferrucci, Luigi, Bouhrara, Mustapha

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Expression of Cholera Toxin by Variants of ToxT in IVibrio cholerae/I Strains von Lee, Donghyun, Choi, Hunseok, Son, Seonghyeon, Bae, Jonghyun, Joo, Jayun, Kim, Dong Wook, Kim, Eun Jin

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Estimation of the capillary level input function for dynamic contrast‐enhanced MRI of the breast using a deep learning approach von Bae, Jonghyun, Huang, Zhengnan, Knoll, Florian, Geras, Krzysztof, Pandit Sood, Terlika, Feng, Li, Heacock, Laura, Moy, Linda, Kim, Sungheon Gene

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Feasibility of measuring blood‐brain barrier permeability using ultra‐short echo time radial magnetic resonance imaging von Bae, Jonghyun, Qayyum, Sawwal, Zhang, Jin, Das, Ayesha, Reyes, Isabel, Aronowitz, Eric, Stavarache, Mihaela A., Kaplitt, Michael G., Masurkar, Arjun, Kim, Sungheon Gene

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Measurement of blood‐brain barrier permeability using dynamic contrast‐enhanced magnetic resonance imaging with reduced scan time von Bae, Jonghyun, Zhang, Jin, Wadghiri, Youssef Zaim, Minhas, Atul Singh, Poptani, Harish, Ge, Yulin, Kim, Sungheon Gene

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Inactivated Vibrio cholerae Strains That Express TcpA via the toxT -139F Allele Induce Antibody Responses against TcpA von Kim, Eun Jin, Bae, Jonghyun, Ju, Young-Jun, Ju, Do-Bin, Lee, Donghyun, Son, Seonghyeon, Choi, Hunseok, Ramamurthy, Thandavarayan, Yun, Cheol-Heui, Kim, Dong Wook

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SSDStreamer: Specializing I/O Stack for Large-Scale Machine Learning von Bae, Jonghyun, Jang, Hakbeom, Gong, Jeonghun, Jin, Wenjing, Kim, Shine, Jang, Jaeyoung, Ham, Tae Jun, Jeong, Jinkyu, Lee, Jae W.

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