S
Steffen E. Petersen
Researcher at Queen Mary University of London
Publications - 513
Citations - 26446
Steffen E. Petersen is an academic researcher from Queen Mary University of London. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 58, co-authored 415 publications receiving 16004 citations. Previous affiliations of Steffen E. Petersen include Aarhus University Hospital & University of Mainz.
Papers
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Journal ArticleDOI
Variation in left ventricular cardiac magnetic resonance normal reference ranges: systematic review and meta-analysis.
Zahra Raisi-Estabragh,Zahra Raisi-Estabragh,Asmaa A M Kenawy,Asmaa A M Kenawy,Nay Aung,Nay Aung,Jackie A. Cooper,Patricia B. Munroe,Nicholas C. Harvey,Steffen E. Petersen,Steffen E. Petersen,Mohammed Y Khanji,Mohammed Y Khanji +12 more
TL;DR: In this paper, the authors identify population-related and technical sources of variation in cardiac magnetic resonance (CMR) reference ranges for left ventricular quantification through a formal systematic review and meta-analysis.
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COVID-19 and the UK Biobank-Opportunities and Challenges for Research and Collaboration With Other Large Population Studies
Mohammed Y Khanji,Mohammed Y Khanji,Nay Aung,Nay Aung,C. Anwar A. Chahal,C. Anwar A. Chahal,C. Anwar A. Chahal,Steffen E. Petersen,Steffen E. Petersen +8 more
TL;DR: The vast opportunities, challenges and limitations for research and collaboration from the UK Biobank and other large population studies in helping to better understand and manage both current and potential future pandemics are highlighted.
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Accuracy of quantitative MR vessel wall imaging applying a semi-automated gradient detection algorithm--a validation study.
Qian Wang,Matthew D. Robson,Jane M Francis,Steffen E. Petersen,Keith M. Channon,Stefan Neubauer,Frank Wiesmann +6 more
TL;DR: By combining the latest MRI methods and semiautomated image analysis methods, this work is able to reproducibly determine the geometric parameters of blood vessels by combining a data analysis method based on vessel wall unwrapping and a gradient detection algorithm for MR data postprocessing.
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Bestimmung der myokardialen Perfusionsreserve bei KHK-Patienten mit der kontrastmittelverstärkten MRT: Ein Vergleich zwischen semiquantitativer und quantitativer Auswertung
Melanie Schmitt,Oliver K. Mohrs,Steffen E. Petersen,K.-F. Kreitner,Thomas Voigtländer,T. Wittlinger,Georg Horstick,S Ziegler,Meyer J,Manfred Thelen,Wolfgang Schreiber +10 more
TL;DR: The up-Slope method with normalization and quantification with MMID 4 are more sensitive methods to differentiate between remote and ischemic myocardium than the up-slope method without normalization.
Journal ArticleDOI
Community delivery of semiautomated fractal analysis tool in cardiac mr for trabecular phenotyping.
Gabriella Captur,Gabriella Captur,Gabriella Captur,Dina Radenkovic,Chunming Li,Chunming Li,Yu Liu,Nay Aung,Nay Aung,Filip Zemrak,Filip Zemrak,Catalina Tobon-Gomez,Xuexin Gao,Perry M. Elliott,Perry M. Elliott,Steffen E. Petersen,Steffen E. Petersen,David A. Bluemke,Matthias G. Friedrich,James C. Moon +19 more
TL;DR: To report the development of easy‐to‐use magnetic resonance imaging (MRI) fractal tools deployed on platforms accessible to all and to measure trabecular complexity as a fractal dimension (FD).