D
David E. Newby
Researcher at University of Edinburgh
Publications - 902
Citations - 45577
David E. Newby is an academic researcher from University of Edinburgh. The author has contributed to research in topics: Myocardial infarction & Coronary artery disease. The author has an hindex of 98, co-authored 805 publications receiving 35865 citations. Previous affiliations of David E. Newby include NHS Lothian & Queen's University.
Papers
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Journal ArticleDOI
Ex vivo 18F-fluoride uptake and hydroxyapatite deposition in human coronary atherosclerosis.
Alastair J Moss,Alastair J Moss,Alisia M Sim,Philip D Adamson,Michael A. Seidman,Jack Andrews,Mhairi K. Doris,Anoop S V Shah,Ralph Bouhaidar,Carlos J. Alcaide-Corral,Michelle C. Williams,Jonathon Leipsic,Marc R. Dweck,Vicky E MacRae,David E. Newby,Adriana Tavares,Stephanie L. Sellers +16 more
TL;DR: Results suggest that 18F-fluoride is a non-invasive imaging biomarker of active coronary atherosclerotic mineralisation, and had a high signal to noise ratio compared with surrounding myocardium that makes it feasible to identify coronary mineralisation activity.
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Influence of differential vascular remodeling on the coronary vasomotor response
TL;DR: Vascular remodeling is an important and major determinant of local epicardial vasomotor responses and both structural and functional abnormalities are associated with negative remodeling that may contribute to the adverse effects of such lesions.
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Comparative effects of glyceryl trinitrate and amyl nitrite on pulse wave reflection and augmentation index.
TL;DR: Although amyl nitrite causes a more rapid fall and recovery in AIx, it induces a reflex tachycardia that may limit interpretation of the initial but not later changes inAIx, which suggests that a sufficient washout period must be included when making repeated measures or when assessing the subsequent effects of other agents.
Posted Content
Unsupervised learning for cross-domain medical image synthesis using deformation invariant cycle consistency networks
TL;DR: In this article, a deformation-invariant CycleGAN (DicycleGAN) method using deformable convolutional layers and new cycle-consistency losses was proposed to deal with data that suffer from domain-specific nonlinear deformations.
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Coronary atherosclerosis imaging by CT to improve clinical outcomes
TL;DR: The identification of adverse plaques on CCTA is known to be associated with an increased risk of acute coronary syndrome, but does not appear to be predictive of long-term outcomes independent of coronary artery calcium burden.