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
More filters
Journal ArticleDOI
EACVI appropriateness criteria for the use of cardiovascular imaging in heart failure derived from European National Imaging Societies voting
Madalina Garbi,Thor Edvardsen,Jeroen J. Bax,Steffen E. Petersen,Theresa McDonagh,Gerasimos Filippatos,Patrizio Lancellotti +6 more
TL;DR: The first European appropriateness criteria for the use of cardiovascular imaging in heart failure, derived from voting of the European National Imaging Societies representatives, were presented in this article. But they did not consider the effects of the images on the clinical outcome.
Book ChapterDOI
Joint motion estimation and segmentation from undersampled cardiac mr image
Chen Qin,Wenjia Bai,Jo Schlemper,Steffen E. Petersen,Stefan K. Piechnik,Stefan Neubauer,Daniel Rueckert +6 more
TL;DR: In this article, a unified model consisting of both motion estimation branch and segmentation branch is learned by optimising the two tasks simultaneously, and additional corresponding fully-sampled images are incorporated into the network as a parallel sub-network to enhance and guide the learning during the training process.
Journal ArticleDOI
Super-Resolution of Cardiac MR Cine Imaging using Conditional GANs and Unsupervised Transfer Learning.
Yan Xia,Nishant Ravikumar,John P Greenwood,Stefan Neubauer,Steffen E. Petersen,Alejandro F. Frangi +5 more
TL;DR: In this article, a robust adversarial learning super-resolution (SR) algorithm based on conditional generative adversarial nets (GANs) was proposed for cardiac Magnetic Resonance (MR) cine imaging.
Journal ArticleDOI
Genome-wide association study identifies loci for arterial stiffness index in 127,121 UK Biobank participants.
Kenneth Fung,Julia Ramirez,Helen R. Warren,Nay Aung,Aaron M. Lee,Evan Tzanis,Steffen E. Petersen,Patricia B. Munroe +7 more
TL;DR: Gene-based testing revealed three significant genes, the most significant gene was COL4A2 encoding type IV collagen, and candidate genes at associated loci were also involved in smooth muscle tone regulation, providing new information for understanding the development of arterial stiffness.
Book ChapterDOI
Real-Time Prediction of Segmentation Quality
Robert Robinson,Ozan Oktay,Wenjia Bai,Vanya V. Valindria,Mihir M. Sanghvi,Mihir M. Sanghvi,Nay Aung,Nay Aung,José Miguel Paiva,Filip Zemrak,Filip Zemrak,Kenneth Fung,Kenneth Fung,Elena Lukaschuk,Aaron Y Lee,Aaron Y Lee,Valentina Carapella,Young Jin Kim,Young Jin Kim,Bernhard Kainz,Stefan K. Piechnik,Stefan Neubauer,Steffen E. Petersen,Steffen E. Petersen,Chris Page,Daniel Rueckert,Ben Glocker +26 more
TL;DR: In this paper, a deep learning-based image segmentation method has been proposed to predict segmentation quality in the absence of ground truth in clinical practice, but also in large-scale studies to avoid the inclusion of invalid data in subsequent analysis.