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Yingyu Li on Muck Rack

Yingyu Li

As seen in: Nature, Wiley Online Library, arXiv, Frontiers, MDPI, BioRxiv
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Articles

An interpretable graph reasoning framework for enhanced diagnosis in fundus fluorescein angiography

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By Xiaocong Liu, An Shao, Xindi Liu, Zichang Su, Xiaoling Huang, Yufeng Xu, Hongkang Wu, Wenyue Shen, Yingyu Li, Hongxia Xu, Juan Ye, Jian Wu
| Nature Verified
Abstract Fundus fluorescein angiography (FFA) is the gold standard for diagnosing retinal vascular diseases. However, interpretable artificial intelligence (AI) systems for FFA image analysis that align with clinicians’ reasoning processes and real-world diagnostic workflows remain scarce.
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Computer Science > Artificial Intelligence

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By Shurui Tu, Yong Xiao, Yingyu Li
| arXiv
Semantic-aware communication has emerged as a transformative paradigm for next-generation communication systems, shifting the fundamental goal from transmitting bit-level symbols to reliably recovering and understanding the semantic meaning of information. Previous studies have demonstrated that representing the semantic content of source messages as graph-based structures can significantly improve communication efficiency and the accuracy of semantic inference at the receiver.
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Optical coherence tomography features and visual prognosis in vitreoretinal lymphoma: a structured phenotyping study

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By Xiaona Wang, Dehai Liu, Yingyu Li, Pei Zhang, Hongliang Dou, Hong Qi
| Frontiers
Abstract Purpose: To characterize optical coherence tomography (OCT) features of vitreoretinal lymphoma (VRL) at baseline, identify features associated with visual prognosis, and describe longitudinal OCT changes following intravitreal methotrexate (IVT-MTX) treatment. Design: Retrospective, single-center, observational study. Methods: Consecutive biopsy-proven VRL cases were included.
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