Contact information
Iulia Popescu
MSc DPhil
NIHR Oxford BRC Postdoctoral Research Fellow
My research is in the area of biomedical image analysis, with applications in supporting T1 ShMOLLI development and deployment across multiple centres world-wide, including the UK Biobank. I have particular interest in methods for data analysis and data automated quality control (QC).
My current research is funded by the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre.
At present, I am working on developing novel visualisation approaches, to facilitate immediate inline visual diagnostic maps for clinical applications, to distinct between norm and various appearances of pathology at the scanner console.
I am also actively involved in CMR T1 mapping standardisation.
Recent publications
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Standardization of T1-mapping in cardiovascular magnetic resonance using clustered structuring for benchmarking normal ranges.
Journal article
Popescu IA. et al, (2021), Int J Cardiol, 326, 220 - 225
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Quality assurance of quantitative cardiac T1-mapping in multicenter clinical trials - A T1 phantom program from the hypertrophic cardiomyopathy registry (HCMR) study.
Journal article
Zhang Q. et al, (2021), Int J Cardiol
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Total Mapping Toolbox (TOMATO): An open source library for cardiac magnetic resonance parametric mapping
Journal article
Werys K. et al, (2020), SoftwareX, 11
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Quality Control-Driven Image Segmentation Towards Reliable Automatic Image Analysis in Large-Scale Cardiovascular Magnetic Resonance Aortic Cine Imaging
Conference paper
Hann E. et al, (2019), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11765 LNCS, 750 - 758
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Myocardial scar quantification using SLIC supervoxels - parcellation based on tissue characteristic strains
Conference paper
Popescu IA. et al, (2017), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10124 LNCS, 182 - 190