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Jiaying Zhou on Muck Rack

Jiaying Zhou

As seen in: Nature, Wiley Online Library, Frontiers, Journal of Retailing and Consumer Services, MDPI, JAMA: Journal of the American Medical Association, Royal Society of Chemistry, Canadian Journal of Infectious Diseases & Medical Microbiology, Dove Medical Press, British Food Journal and
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Articles

An AI-Based OCT System to Detect Diabetic Macular Edema : A Prospective Validation and Noninferiority Randomized Clinical Trial

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By Shuyi Zhang, Anran Ran, Jiaying Zhou, Anni Ling, Kaiser Sham, Yu Zhang, Ziqi Tang, Truong Nguyen, Trường Nguyễn, Dawei Yang, Hunter Yuen, Victor Chan, Mary Ho, Julia Chan Verified, Claire Chow, Stephanie Cheung, Anthony Lai, Cherie Wong, Vivian Hui, Wilson Yip, Alvin Young, Risa Ozaki, Andrea O. Y. Luk, Juliana Chan, Daniel Wong, Xi Wang, Pheng-Ann Heng, Haotian Lin, Sobha Sivaprasad, Kenneth Li Verified, Carmen Chan, Clement C Tham, Timothy Lai, Simon K. H. Szeto, Carol Cheung, Naiman Lam, Thomas C. H. Lam, Charlene C. L. Yim, Matthew C. W. Lam, Amy H. Y. Yu, Andrew C. Y. Mak, Noel C. Y. Chan, Kit-man Loo, Pangfai Chan, Matthew M. H. Luk, Loretta K. P. Lai, Jasmine Shiu
| JAMA: Journal of the American Medical Association Verified
An AI-Based OCT System to Detect Diabetic Macular Edema: A Prospective Validation and Noninferiority Randomized Clinical Trial Key Points Question Can an artificial intelligence (AI)–based optical coherence tomography (AI-OCT) system to detect diabetic macular edema (DME) improve referral performance of diabetic retinopathy screening?
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Characterization of key off-flavor compounds in soybean and their dynamic changes during progressive processing

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By Jiaying Zhou, Danni Huang, Shijie Xu, Jian Li, Jun Liu, Yuhui Li, Wentao Zhang
| Frontiers
Abstract This study systematically identifies key off-flavor compounds in normal soybean flour (NOR-SF), thereby profiling their dynamic changes among SF-based products manufactured from NOR and high oleic acid (HOA) soybeans. A total of 55 volatile compounds were detected in NOR-SF using headspace solid-phase microextraction gas chromatography mass spectrometry (HS-SPME-GC-MS), of which 18 were identified as odor-active compounds by GC-O.
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Computer Science > Information Retrieval

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By Xiawei Wang, Yudi Zhang, Jiaying Zhou
| arXiv
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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