J
Jaewook Shin
Researcher at Johns Hopkins University
Publications - 18
Citations - 334
Jaewook Shin is an academic researcher from Johns Hopkins University. The author has contributed to research in topics: Internal medicine & Medicine. The author has an hindex of 6, co-authored 13 publications receiving 245 citations.
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Journal ArticleDOI
Testosterone and interleukin-1β increase cardiac remodeling during coxsackievirus B3 myocarditis via serpin A 3n.
Michael J. Coronado,Jessica E. Brandt,Eun Young Kim,Adriana Bucek,Djahida Bedja,Eric Abston,Jaewook Shin,Kathleen L. Gabrielson,Wayne Mitzner,DeLisa Fairweather +9 more
TL;DR: Serpin A 3n was identified as a gene associated with fibrotic cardiac remodeling and progression to DCM in male myocarditis patients and mice.
Journal ArticleDOI
Th2 Regulation of Viral Myocarditis in Mice: Different Roles for TLR3 versus TRIF in Progression to Chronic Disease
Eric Abston,Michael J. Coronado,Adriana Bucek,Djahida Bedja,Jaewook Shin,Joseph B. Kim,Eunyong Kim,Kathleen L. Gabrielson,Dimitrios Georgakopoulos,Wayne Mitzner,DeLisa Fairweather,DeLisa Fairweather +11 more
TL;DR: It is shown for the first time that TLR3 versus TRIF deficiency results in different Th2 responses that uniquely influence the progression to chronic myocarditis, indicating that elevated IL-33 in the context of a classic Th2-driven response protects against autoimmune heart disease.
Journal ArticleDOI
Single-pixel imaging using compressed sensing and wavelength-dependent scattering.
TL;DR: Two-dimensional imaging using illumination via a single-mode fiber with a multiply scattering tip and compressed sensing acquisition and the imaging device is mechanically scan-free and insensitive to bending of the fiber, making it suitable for micro-endoscopy.
Journal ArticleDOI
A minimally invasive lens-free computational microendoscope
TL;DR: This work demonstrates a distal lens-free approach to microendoscopy enabled by computational image recovery that increases the space-bandwidth product, i.e., field of view divided by resolution, by threefold over a best-case lens-based system.
Journal ArticleDOI
Compressive fluorescence imaging using a multi-core fiber and spatially dependent scattering.
TL;DR: Using the characterized speckle patterns and the total light collected from the object, the proposed imaging system is computationally recover pixelation-free object images with up to a seven times higher space-bandwidth product than the number of cores.