Zhuoan Li, MSc

PhD Candidate
Laboratory for Translational Imaging for Microcirculation, Weldon School of Biomedical Engineering, Purdue University
Indianapolis, Indiana, United States

PhD candidate in Biomedical Engineering at Purdue University, specializing in deep learning and quantitative cardiovascular magnetic resonance (CMR). Research interests span quantitative tissue characterization, radiomics, foundation models, and scalable AI pipelines for clinical CMR applications.

Presentation(s):

• Leveraging a CMR Foundation Model for Automated Classification of Stress Perfusion CMR Datasets: Initial Results Using the SCMR Registry

  Thursday, February 5, 2026
  5:20 PM - 5:30 PM  

• Adapting a CMR foundation model for A.I.-powered analysis of perfusion CMR: Enabling 12-fold reduction in manually labeled training dataset for automatic segmentation

  Friday, February 6, 2026
  10:22 AM - 10:29 AM