Assessment of Severity of Aortic Stenosis Through Time-Frequency Analysis of Murmur von Kim, Dosik, Tavel, Morton E.

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Tensile Test Techniques for a Nuclear Fuel Cladding in a Hot Cell von Kim, Sun Kee, Yoo, Byung Ok, Choo, Yong Sun, Oh, Wan Ho, Ahn, Sang Bok, Kim, Do Sik, Hong, Kwon Pyo

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Low Temperature Effects on the Fracture Behavior of Cold-Worked STS 304 Stainless Steel for Membrane of LNG Storage Tank von Kim, Chul Su, Kim, Jung Kyu, Choo, Yong Sun, Kim, Do Sik, Hong, Kwon Pyo

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저온하에서 LNG저장탱크용 멤브레인재(STS 304강)의 피로균열진전거동 von 김정규(JUNG-KYU KIM), 김철수(CHUL-SU KIM), 김도식(DOSIK KIM), 윤인수(IN-SU YOON)

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KIKI‐net: cross‐domain convolutional neural networks for reconstructing undersampled magnetic resonance images von Eo, Taejoon, Jun, Yohan, Kim, Taeseong, Jang, Jinseong, Lee, Ho‐Joon, Hwang, Dosik

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Ultrathin crystalline-silicon-based strain gauges with deep learning algorithms for silent speech interfaces von Kim, Taemin, Shin, Yejee, Kang, Kyowon, Kim, Kiho, Kim, Gwanho, Byeon, Yunsu, Kim, Hwayeon, Gao, Yuyan, Lee, Jeong Ryong, Son, Geonhui, Kim, Taeseong, Jun, Yohan, Kim, Jihyun, Lee, Jinyoung, Um, Seyun, Kwon, Yoohwan, Son, Byung Gwan, Cho, Myeongki, Sang, Mingyu, Shin, Jongwoon, Kim, Kyubeen, Suh, Jungmin, Choi, Heekyeong, Hong, Seokjun, Cheng, Huanyu, Kang, Hong-Goo, Hwang, Dosik, Yu, Ki Jun

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Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction von Muckley, Matthew J., Riemenschneider, Bruno, Radmanesh, Alireza, Kim, Sunwoo, Jeong, Geunu, Ko, Jingyu, Jun, Yohan, Shin, Hyungseob, Hwang, Dosik, Mostapha, Mahmoud, Arberet, Simon, Nickel, Dominik, Ramzi, Zaccharie, Ciuciu, Philippe, Starck, Jean-Luc, Teuwen, Jonas, Karkalousos, Dimitrios, Zhang, Chaoping, Sriram, Anuroop, Huang, Zhengnan, Yakubova, Nafissa, Lui, Yvonne W., Knoll, Florian

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Megahertz-wave-transmitting conducting polymer electrode for device-to-device integration von Kim, Taehoon, Kim, Gwangmook, Kim, Hyeohn, Yoon, Hong-Jib, Kim, Taeseong, Jun, Yohan, Shin, Tae-Hyun, Kang, Shinill, Cheon, Jinwoo, Hwang, Dosik, Min, Byung-wook, Shim, Wooyoung

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Deep model-based magnetic resonance parameter mapping network (DOPAMINE) for fast T1 mapping using variable flip angle method von Jun, Yohan, Shin, Hyungseob, Eo, Taejoon, Kim, Taeseong, Hwang, Dosik

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Murmur-adaptive compression technique for phonocardiogram signals von Kim, Sunjung, Hwang, Dosik

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Deep‐learned short tau inversion recovery imaging using multi‐contrast MR images von Kim, Sewon, Jang, Hanbyol, Jang, Jinseong, Lee, Young Han, Hwang, Dosik

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Improved estimation of myelin water fraction using complex model fitting von Nam, Yoonho, Lee, Jongho, Hwang, Dosik, Kim, Dong-Hyun

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Accelerating Cartesian MRI by domain-transform manifold learning in phase-encoding direction von Eo, Taejoon, Shin, Hyungseob, Jun, Yohan, Kim, Taeseong, Hwang, Dosik

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Intelligent Imaging and Analysis von Hwang, Dosik, Kim, DaeEun

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Fully automatic quantification of transient severe respiratory motion artifact of gadoxetate disodium–enhanced MRI during arterial phase von Jang, Jinseong, Chung, Yong Eun, Kim, Sungwon, Hwang, Dosik

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Reduction of Defects by Friction Stir Processing for Additively Manufactured Cast Aluminum Alloys (AlSiMg) von Choi, Sungjong, Shim, Dosik, Kim, Hochan

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Ring artifact correction using detector line-ratios in computed tomography von Kim, Younguk, Baek, Jongduk, Hwang, Dosik

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In vivo multi-slice mapping of myelin water content using T2 decay von Hwang, Dosik, Kim, Dong-Hyun, Du, Yiping P.

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Deep-learned spike representations and sorting via an ensemble of auto-encoders von Eom, Junsik, Park, In Yong, Kim, Sewon, Jang, Hanbyol, Park, Sanggeon, Huh, Yeowool, Hwang, Dosik

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Small-scale noise-like moiré pattern caused by detector sensitivity inhomogeneity in computed tomography von Kim, Younguk, Oh, Daejoong, Hwang, Dosik

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