Qing Zou, a PhD candidate at the University of Iowa's Department of Electrical and Computer Engineering, has received the Best Paper Award at the IEEE International Symposium on Biomedical Imaging (IEEE-ISBI) 2021. Zou's winning paper introduces a deep learning approach called the "Gen-SToRM" model, which improves free-breathing cardiac MRI scans, allowing doctors to make informed decisions and improve treatment plans for patients who cannot hold their breath during the examination.