H
Hyun Joo Shin
Researcher at Yonsei University
Publications - 75
Citations - 885
Hyun Joo Shin is an academic researcher from Yonsei University. The author has contributed to research in topics: Medicine & Magnetic resonance imaging. The author has an hindex of 13, co-authored 66 publications receiving 611 citations. Previous affiliations of Hyun Joo Shin include Boston Children's Hospital.
Papers
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Comparison of shear wave velocities on ultrasound elastography between different machines, transducers, and acquisition depths: a phantom study
TL;DR: There is considerable difference in SWVs on ultrasound elastography depending on different machines, transducers and acquisition depths, and caution is needed when using the cutoff values of SWVs in different conditions.
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Differentiation between primary cerebral lymphoma and glioblastoma using the apparent diffusion coefficient: comparison of three different ROI methods.
TL;DR: ROI method is explored to provide the most reproducible results for differentiation between central nervous system lymphoma and Glioblastoma, and ADC values were significantly dependent on ROI method.
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Anisotropic magnetic properties and giant rotating magnetocaloric effect in double-perovskite T b 2 CoMn O 6
TL;DR: In this paper, the magnetic anisotropy of a double perovskite was investigated and the ferromagnetic order of the moments along the $c$ axis was shown to be anisotropic.
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Superb microvascular imaging for the detection of parenchymal perfusion in normal and undescended testes in young children
Yong Seung Lee,Myung Joon Kim,Sang Won Han,Hye Sun Lee,Young Jae Im,Hyun Joo Shin,Mi Jung Lee +6 more
TL;DR: SMI can detect perfusion difference between normal and UDT in young children better than PDI, according to univariate analysis and multivariate analysis.
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Radiation dose reduction via sinogram affirmed iterative reconstruction and automatic tube voltage modulation (CARE kV) in abdominal CT.
Hyun Joo Shin,Yong Eun Chung,Young Han Lee,Jin-Young Choi,Mi-Suk Park,Myeong-Jin Kim,Ki Whang Kim +6 more
TL;DR: In this article, the feasibility of sinogram-affirmed iterative reconstruction (SAFIRE) and automated kV modulation (CARE kV) in reducing radiation dose without increasing image noise for abdominal CT examination was evaluated.