Hua Li

Hua Li is a Research Associate Professor at the University of Illinois Urbana-Champaign, affiliated with the Department of Biomedical and Translational Sciences, Beckman Institute for Advanced Science and Technology, and the Department of Bioengineering. Their research focuses on medical imaging, machine learning, and radiation therapy, with a particular emphasis on advancing image reconstruction techniques, task-based image quality assessment, and applications of deep learning in diagnostic imaging.

Research interests include developing AI-driven solutions for medical imaging challenges such as denoising, segmentation, and classification. Notable contributions include learning-based ideal observers for performance evaluation and diffusion models for cell segmentation in quantitative phase imaging. Collaborations span interdisciplinary projects in bioengineering, radiation oncology, and computational biology.

Recent work emphasizes integrating task-aware methodologies into imaging systems to enhance diagnostic accuracy and clinical utility. Hua Li’s publications reflect a strong focus on translational research, bridging theoretical advancements with practical applications in healthcare.