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Yingzhe Cui

As seen in: Nature
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Articles

Quantitative susceptibility mapping and MRS-based multimodal machine learning for early Parkinson’s disease classification

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By Yuan Tian, Yaqiang Zhang, Yingzhe Cui, Jingyi Liu, Qi Wang, Junhong Duan, Jianxiu Lian, Song Tian, Liangjie Lin, Pengfei Liu, Dong Nan, Huailei Liu
| Nature Verified
Abstract Parkinson’s disease (PD) is a complex, progressive neurodegenerative disorder characterized by high heterogeneity and diagnostic challenges in its early stages. This study aimed to develop and validate a multimodal machine learning model for early PD detection by integrating neurochemical metabolites and QSM-based radiomic features from multicenter PD cohorts.
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Forecasting the eddying ocean with a deep neural network - Nature Communications

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By Xiang Zhang, Zhao Jing, Yingzhe Cui
| Nature Verified
Abstract Mesoscale eddies with horizontal scales from tens to hundreds of kilometers are ubiquitous in the upper ocean, dominating the ocean variability from daily to weekly time scales. Their turbulent nature causes great scientific challenges and computational burdens in accurately forecasting the short-term evolution of the ocean states based on conventional physics-driven numerical models.
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