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WENYI ZHANG

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Articles

Comparative analysis of quantitative fundus results of the left and right eyes and screening for coronary atherosclerotic disease: a binocular study

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By Zhenyan Wu, Xue Jiang, Yu Xin, Xinying Guo, Jie Zhang, WENYI ZHANG, Jian Liu, Yiran Wang, Saiguang Ling, Caixia Guo, Zibing Jin
| Nature Verified
Abstract Retinal microvascular parameters are potential biomarkers for systemic vascular health. This study aimed to assess the interocular consistency of these parameters in patients with coronary atherosclerotic disease(CAD) using AI-based quantitative analysis. We analysed 862 colour fundus photographs from 431 patients. Retinal vascular parameters—including fractal dimension (FD), vessel density (VD), and vessel diameters—were automatically measured using a ResNet 101-UNet deep learning model.
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Computer Science > Information Theory

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By WENYI ZHANG
| 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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Body-Donor-Derived Data in Medical Artificial Intelligence: From Foundational Resources to Trustworthy Applications

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By Ye Sun, Qingyu Zhang, WENYI ZHANG
| Wiley Online Library Verified
Y., Q.Zhang, W.Zhang, et al. 2026. “Body-Donor-Derived Data in Medical Artificial Intelligence: From Foundational Resources to Trustworthy Applications.” Clinical Anatomy1–12. Sun, https://doi.org/10.1002/ca.70156. Data Availability Statement Data sharing not applicable to this article as no datasets were generated or analysed during the current study. References , , , , , and . 2022.
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