Bio-X Graduate Student Fellow

Awarded in 2019
Home Department: Electrical Engineering
Faculty Advisors: John Pauly (Electrical Engineering) and Lei Xing (Radiation Oncology - Radiation Physics)

Research Title: Enabling Single-View Computed Tomography by Deep Learning for Image Guided Interventions

Research Description: Tomographic imaging using penetrating radiation is a fundamental approach to generating cross-sectional views of the internal anatomy of living subjects. Current imaging methods with sparse sampling still do not address the unmet need for real-time imaging. Recent advances in deep learning provide enabling tools to transform the way that an image is reconstructed. In this project, Liyue will investigate deep learning strategies for single-view and few-view 3D volumetric imaging and demonstrate its advantages in image-guided interventions. This project expects to push the limits of single-view in tomographic imaging, and open new opportunities for numerous clinical applications.


Liyue is an assistant professor in the Department of Electrical Engineering & Computer Science (EECS) at the University of Michigan.