Professor of Cardiovascular Medicine
- Honorary Consultant Cardiologist
- Head of the Division of Cardiovascular Medicine
- Clinical Director, University of Oxford Centre Clinical Magnetic Resonance Research (OCMR)
Cardiac Energy Metabolism in Ischaemia and Heart Failure
Prof. Stefan Neubauer is a Professor of Cardiovascular Medicine, Head of the Division of Cardiovascular Medicine and Clinical Director of the Oxford Centre for Clinical Magnetic Resonance Research (OCMR), at the University of Oxford, John Radcliffe Hospital, United Kingdom. Prof. Neubauer’s work over the past 25 years has been devoted to two areas, the development and application of Cardiovascular Magnetic Resonance (CMR) imaging and spectroscopy, and the role of cardiac energy metabolism in ischemia and heart failure. He has published >300 original research articles and currently leads a group of ~40 co-workers. Editorial positions andcontributions to scientific bodies include his involvement with theSociety for Cardiovascular Magnetic Resonance (President 2006-2008), Chairman of the British Society of Cardiovascular Magnetic Resonance (2008-2010), Associate Editor of the European Heart Journal and of the Journal of Cardiovascular Magnetic Resonance,Co-Editor of Magnetic Resonance Materials. Awards and Honours include the American Heart Association Paul Dudley White International Lectureship Award 2005 and the British Cardiovascular Society Thomas Lewis Lecture 2008. He is a fellow of the UK Academy of Medical Sciences. He is also the leader of the Imaging Theme for the Oxford NIHR Biomedical Research Centre.
Proof-of-Principle Demonstration of Direct Metabolic Imaging Following Myocardial Infarction Using Hyperpolarized 13C CMR.
Apps A. et al, (2021), JACC Cardiovasc Imaging
Quality assurance of quantitative cardiac T1-mapping in multicenter clinical trials – A T1 phantom program from the hypertrophic cardiomyopathy registry (HCMR) study
Zhang Q. et al, (2021), International Journal of Cardiology
Recovering from missing data in population imaging – Cardiac MR image imputation via conditional generative adversarial nets
Xia Y. et al, (2021), Medical Image Analysis, 67
The UK Biobank imaging enhancement of 100,000 participants: rationale, data collection, management and future directions
Littlejohns TJ. et al, (2020), Nature Communications, 11
Retraction notice to Diagnosis of Microvascular Angina Using Cardiac Magnetic Resonance
Liu A. et al, (2020), Journal of the American College of Cardiology, 76, 1916 - 1916