About Me

I am Ruoyan Xu, a Ph.D. candidate at the Institute of Medical Technology, Peking University Health Science Center, affiliated with the Medical Imaging Laboratory (MILAB) led by Professor Zhaoheng Xie.

My research is broadly situated at the intersection of biomedical engineering, medical imaging, and artificial intelligence, with a particular emphasis on nuclear medicine and multimodal image analysis.

My current work focuses on two main research directions:

(1) Multimodal neuroimaging for Alzheimer’s disease
I investigate systemic and brain-specific metabolic alterations in Alzheimer’s disease using total-body PET/CT, integrating whole-body FDG and amyloid PET imaging with network-based and AI-driven analytical frameworks. This line of work aims to uncover disease-related metabolic network disruptions beyond the central nervous system and to support early diagnosis, disease progression monitoring, and treatment evaluation.

(2) AI-driven multimodal imaging for Graves’ ophthalmopathy
I am also involved in developing a precision assessment and staging framework for Graves’ ophthalmopathy based on [¹⁸F]AlF-NOTA-FAPI-04 PET/CT and deep learning–based multimodal image fusion. By integrating functional PET information with anatomical imaging and data-driven models, this research seeks to improve quantitative evaluation and clinical stratification of orbital disease.

Overall, my research interest lies in developing artificial intelligence–driven methods for multimodal medical imaging, with the goal of translating advanced imaging technologies into clinically interpretable and biologically meaningful tools for precision medicine.