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Jin Hong

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Articles

Computer Science > Computer Vision and Pattern Recognition

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By Yulong Zou, Jin Hong
| arxiv.org
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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Etiology-specific prognostic value of ultra-early diffusion-weighted MRI after out-of-hospital cardiac arrest: a multicenter cohort study - Critical Care

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By Byung Kook Lee, Jin Hong, Jung Soo
| link.springer.com
Chin YH, Yaow CYL, Teoh SE, Foo MZQ, Luo N, Graves N, et al. Long-term outcomes after out-of-hospital cardiac arrest: a systematic review and meta-analysis. Resuscitation. 2022;171:15–29. Google Scholar Nolan JP, Neumar RW, Adrie C, Aibiki M, Berg RA, Böttiger BW, A Scientific Statement from the International Liaison Committee on Resuscitation; the American Heart Association Emergency Cardiovascular Care Committee.
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Dual deconvolution in multiphoton structured illumination microscopy for deep-tissue super-resolution imaging - Nature Communications

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By Sumin Lim, Sungsam Kang, Jin Hong, Young-Ho Jin, Kalpak Gupta, Moonseok Kim, Suhyun Kim, Wonshik Choi, Seokchan Yoon
| Nature Verified
Abstract Imaging in thick biological tissues is often degraded by sample-induced aberrations, which reduce resolution and contrast, particularly in super-resolution techniques. While hardware-based adaptive optics (AO) using wavefront shaping can correct these aberrations, their complexity and cost hinder widespread adoption.
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