معرفی
Zhen Li is a Postgraduate Research Fellow at the Yale School of Medicine's Department of Radiology and Biomedical Imaging. Her work focuses on advancing non-contrast MRI techniques for diagnostic applications, particularly in nasopharyngeal carcinoma (NPC) detection. She is affiliated with the lab of Xiaofeng Liu, Assistant Professor of Radiology and Biomedical Imaging, and collaborates with senior researchers like Jinsong Ouyang and Georges El Fakhri.
Her research aims to reduce reliance on gadolinium-based contrast agents through innovative image-guided machine learning models. This approach maintains diagnostic accuracy while addressing concerns about gadolinium accumulation. Her 2025 SPIE Medical Imaging award recognizes her contribution to computer-aided diagnosis in oncological imaging.
Zhen Li's work bridges clinical radiology and artificial intelligence, contributing to both translational research and methodological advancements in medical imaging. She has collaborated on studies involving large datasets (694 training, 160 validation, 263 test cases) to validate her models' robustness across diverse patient populations.
