Behzad Sharif, PhD

Associate Professor
Purdue University
Indianapolis, Indiana, United States

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  

• Rapid quantification of stress/rest myocardial blood volume reserve using ferumoxytol-enhanced CMR: New technique and preclinical results at 0.55T

  Thursday, February 5, 2026
  6:00 PM - 6:10 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  

• Enhanced T1 sensitivity and reduced artifacts in ferumoxytol-enhanced CMRI at 0.55T compared to 3T: a preclinical in vivo study

  Saturday, February 7, 2026
  8:20 AM - 8:30 AM  

• Free-breathing estimation of total circulating blood volume using ferumoxytol-enhanced MRI on a commercially available 0.55T platform

  Saturday, February 7, 2026
  10:29 AM - 10:36 AM  

• Quantifying the Impact of Dataset Shifts in Deep Learning-based Dynamic MRI Reconstruction: Need for Spatially Localized Performance Metrics

  Saturday, February 7, 2026
  11:35 AM - 11:45 AM