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Yingnan Wu on Muck Rack

Yingnan Wu

As seen in: Nature, Wiley Online Library, PLOS ONE, SAGE Publishing, Taylor & Francis Online, Royal Society of Chemistry, Dove Medical Press
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Articles

A Simple O-RADS-Based Ultrasound Scoring System for Risk Stratification of Ovarian Cystic Lesions: A Multicenter Study

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By Liping Gong, Yingnan Wu, Xiaoying Li
| Taylor & Francis Online
Abstract Objective To develop and validate a simple and practical scoring system based on O-RADS ultrasound features for distinguishing benign from malignant ovarian cystic lesions. Methods This multi-institutional retrospective study included women with ovarian cystic lesions who underwent pelvic ultrasound and had either histopathological confirmation or at least 2 years of imaging follow-up.
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A multimodal instruction dataset and benchmark for ultrasound understanding

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By Shijie Wang, Yingnan Wu, Yilun Zhang, Zeyu Lai, Wei Lou, Dexing Kong
| Nature Verified
Abstract While promising in general medical imaging like CT and MRI, large vision-language models (LVLMs) struggle in ultrasonography due to a profound visual-semantic gap and a scarcity of instruction-following data. Translating the inherently noisy and operator-dependent ultrasound images into precise clinical descriptions remains a complex reasoning challenge for general-purpose vision-language models.
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Preparation of ENBSe-based photoredox catalysts for O 2 -independent phototherapy in living systems

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By Yingying Zhang, Yingnan Wu, Zehao Jing, Xiaoqiang Chen, Xiaojun Peng
| Nature Verified
Abstract Photodynamic therapy using an appropriate photocatalyst results in the production of cytotoxic reactive oxygen species for tumor ablation. However, the inherent O2 dependence of conventional photodynamic therapy limits its clinical translation. To overcome this challenge, here we developed a selenium-substituted Nile blue derivative (ENBSe) as a versatile O2-independent photocatalyst.
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