Zeju Li, PhD
ASSOCIATE PROFESSOR
AT FUDAN UNIVERSITY
I am a researcher at the intersection of machine learning and medical imaging. My research focuses on designing novel computational approaches for biomedical image analysis, with applications in image reconstruction, brain function analysis and disease diagnosis.
We are pushing the boundaries of biomedical image analysis using AI.
We are broadly interested in machine learning, medical imaging, and neuroimaging. Our research focuses on creating tools that enhance diagnostic accuracy and improve patient outcomes.
Currently, we are working on building AI models that can: 1) operate reliably and stably (e.g., interpretability, uncertainty), 2) advance medical imaging pipelines (e.g., reconstruction, segmentation), and 3) eventually enhance our understanding of brain functions (e.g., fMRI, dMRI).
Machine Learning
Medical Image Analysis
Computational Neuroscience