J
Jin Hyung Lee
Researcher at Stanford University
Publications - 71
Citations - 4197
Jin Hyung Lee is an academic researcher from Stanford University. The author has contributed to research in topics: Optogenetics & Magnetic resonance imaging. The author has an hindex of 26, co-authored 71 publications receiving 3633 citations. Previous affiliations of Jin Hyung Lee include University of California, Los Angeles & University of California.
Papers
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Journal ArticleDOI
FeCo/graphitic-shell nanocrystals as advanced magnetic-resonance-imaging and near-infrared agents
Won Seok Seo,Jin Hyung Lee,Xiaoming Sun,Yoriyasu Suzuki,David Mann,Zhuang Liu,Masahiro Terashima,Philip C. Yang,Michael V. McConnell,Dwight G. Nishimura,Hongjie Dai +10 more
TL;DR: A scalable chemical vapour deposition method is presented to synthesize FeCo/single-graphitic-shell nanocry crystals that are soluble and stable in water solutions and point to the potential of using these nanocrystals for integrated diagnosis and therapeutic (photothermal-ablation) applications.
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Global and local fMRI signals driven by neurons defined optogenetically by type and wiring
Jin Hyung Lee,Remy Durand,Viviana Gradinaru,Feng Zhang,Inbal Goshen,Dae-Shik Kim,Dae-Shik Kim,Lief E. Fenno,Charu Ramakrishnan,Karl Deisseroth +9 more
TL;DR: The ofMRI approach provides an empirical foundation for the widely-used fMRI BOLD signal, and the features of ofMRI define a potent tool that may be suitable for functional circuit analysis as well as global phenotyping of dysfunctional circuitry.
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PRMT5 (Janus kinase-binding protein 1) catalyzes the formation of symmetric dimethylarginine residues in proteins.
Tina L. Branscombe,Adam Frankel,Jin Hyung Lee,Jeffry R. Cook,Zhi-Hong Yang,Sidney Pestka,Steven Clarke +6 more
TL;DR: PRMT5 is the first example of a catalytic chain for a type II protein arginine N-methyltransferase that can result in the formation of symmetric dimethylarginine residues as observed previously in myelin basic protein, Sm small nuclear ribonucleoproteins, and other polypeptides.
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Super-resolution musculoskeletal MRI using deep learning.
Akshay S. Chaudhari,Zhongnan Fang,Feliks Kogan,Jeffrey P. Wood,Kathryn J. Stevens,Eric K. Gibbons,Jin Hyung Lee,Garry E. Gold,Brian A. Hargreaves +8 more
TL;DR: To develop a super‐resolution technique using convolutional neural networks for generating thin‐slice knee MR images from thicker input slices, and compare this method with alternative through‐plane interpolation methods.
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DWI of the spinal cord with reduced FOV single-shot EPI
TL;DR: A reduced FOV single‐shot diffusion‐weighted echo‐planar imaging (ss‐DWEPI) method is proposed, in which a 2D spatially selective echo-planar RF excitation pulse and a 180° refocusing pulse reduce the FOV in the phase‐encode (PE) direction, while suppressing the signal from fat simultaneously.