معرفی
Iulia Popescu is a Postdoctoral Research Fellow at the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (Oxford BRC) and the Radcliffe Department of Medicine (RDMOxford), University of Oxford. Her work focuses on biomedical image analysis, particularly cardiac T1 mapping standardization across global multi-centre studies. She specializes in deep learning, AI, data visualization, and automated quality control in medical imaging. She earned her DPhil in digital health at the University of Oxford, developing personalized models for cardiac wall motion abnormality and scar quantification using multimodal imaging.
Her research spans cardiac magnetic resonance (CMR), quantitative tissue characterization, and clinical translation of imaging protocols. She has contributed to tools like the Total Mapping Toolbox (TOMATO) and patented methods for medical image enhancement and quality validation. She collaborates with clinical and industrial partners, working on multi-centre clinical trials and executive-level multidisciplinary teams.
Her recent publications address T1-mapping standardization, automated segmentation reliability, and multi-vendor imaging consistency, with applications in hypertrophic cardiomyopathy and scar quantification. She is funded by the NIHR Oxford BRC and associated with the Piechnik Group and Ferreira Group at Oxford.
