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EVA CLARE SAMMUT
EVA CLARE SAMMUT
Verified email at bristol.ac.uk
Title
Cited by
Cited by
Year
Coronary artery anomalies overview: The normal and the abnormal
ADM Villa, E Sammut, A Nair, R Rajani, R Bonamini, A Chiribiri
World journal of radiology 8 (6), 537, 2016
3692016
Myocardial tissue characterization by cardiac magnetic resonance imaging using T1 mapping predicts ventricular arrhythmia in ischemic and non–ischemic cardiomyopathy patients …
Z Chen, M Sohal, T Voigt, E Sammut, C Tobon-Gomez, N Child, ...
Heart Rhythm 12 (4), 792-801, 2015
1242015
Prognostic value of quantitative stress perfusion cardiac magnetic resonance
EC Sammut, ADM Villa, G Di Giovine, L Dancy, F Bosio, T Gibbs, ...
JACC: Cardiovascular Imaging 11 (5), 686-694, 2018
982018
Studying dynamic myofiber aggregate reorientation in dilated cardiomyopathy using in vivo magnetic resonance diffusion tensor imaging
C Von Deuster, E Sammut, L Asner, D Nordsletten, P Lamata, CT Stoeck, ...
Circulation: Cardiovascular Imaging 9 (10), e005018, 2016
912016
Stem cell therapy for heart diseases
AM Mozid, S Arnous, EC Sammut, A Mathur
British medical bulletin 98 (1), 143-159, 2011
862011
Estimation of passive and active properties in the human heart using 3D tagged MRI
L Asner, M Hadjicharalambous, R Chabiniok, D Peresutti, E Sammut, ...
Biomechanics and modeling in mechanobiology 15, 1121-1139, 2016
842016
Deep‐learning‐based preprocessing for quantitative myocardial perfusion MRI
CM Scannell, M Veta, ADM Villa, EC Sammut, J Lee, M Breeuwer, ...
Journal of Magnetic Resonance Imaging 51 (6), 1689-1696, 2020
692020
Analysis of passive cardiac constitutive laws for parameter estimation using 3D tagged MRI
M Hadjicharalambous, R Chabiniok, L Asner, E Sammut, J Wong, ...
Biomechanics and modeling in mechanobiology 14, 807-828, 2015
642015
Microvascular ischemia in hypertrophic cardiomyopathy: new insights from high-resolution combined quantification of perfusion and late gadolinium enhancement
ADM Villa, E Sammut, N Zarinabad, G Carr-White, J Lee, N Bettencourt, ...
Journal of cardiovascular magnetic resonance 18 (1), 4, 2016
592016
A U-shaped type II contraction pattern in patients with strict left bundle branch block predicts super-response to cardiac resynchronization therapy
T Jackson, M Sohal, Z Chen, N Child, E Sammut, J Behar, S Claridge, ...
Heart rhythm 11 (10), 1790-1797, 2014
522014
Non-invasive model-based assessment of passive left-ventricular myocardial stiffness in healthy subjects and in patients with non-ischemic dilated cardiomyopathy
M Hadjicharalambous, L Asner, R Chabiniok, E Sammut, J Wong, ...
Annals of biomedical engineering 45, 605-618, 2017
512017
Noninvasive assessment of LV contraction patterns using CMR to identify responders to CRT
M Sohal, A Shetty, S Duckett, Z Chen, E Sammut, S Amraoui, ...
JACC: Cardiovascular Imaging 6 (8), 864-873, 2013
512013
A prospective evaluation of cardiovascular magnetic resonance measures of dyssynchrony in the prediction of response to cardiac resynchronization therapy
M Sohal, SG Duckett, X Zhuang, W Shi, M Ginks, A Shetty, E Sammut, ...
Journal of Cardiovascular Magnetic Resonance 16 (1), 58, 2014
502014
Prevalence of myocardial crypts in a large retrospective cohort study by cardiovascular magnetic resonance
N Child, T Muhr, E Sammut, D Dabir, EA Ucar, T Bueser, J Gill, ...
Journal of Cardiovascular Magnetic Resonance 16 (1), 66, 2014
502014
Focal but not diffuse myocardial fibrosis burden quantification using cardiac magnetic resonance imaging predicts left ventricular reverse modeling following cardiac …
Z Chen, M Sohal, E Sammut, N Child, T Jackson, S Claridge, M Cooklin, ...
Journal of cardiovascular electrophysiology 27 (2), 203-209, 2016
482016
Age-related changes in intraventricular kinetic energy: a physiological or pathological adaptation?
J Wong, R Chabiniok, A Devecchi, N Dedieu, E Sammut, T Schaeffter, ...
American Journal of Physiology-Heart and Circulatory Physiology 310 (6 …, 2016
352016
Patient-specific modeling for left ventricular mechanics using data-driven boundary energies
L Asner, M Hadjicharalambous, R Chabiniok, D Peressutti, E Sammut, ...
Computer Methods in Applied Mechanics and Engineering 314, 269-295, 2017
322017
Impact of COVID‐19 on inpatient referral of acute heart failure: a single‐centre experience from the south‐west of the UK
G Doolub, C Wong, L Hewitson, A Mohamed, F Todd, L Gogola, ...
ESC heart failure 8 (2), 1691-1695, 2021
312021
Combined identification of septal flash and absence of myocardial scar by cardiac magnetic resonance imaging improves prediction of response to cardiac resynchronization therapy
M Sohal, S Amraoui, Z Chen, E Sammut, T Jackson, M Wright, M O’Neill, ...
Journal of Interventional Cardiac Electrophysiology 40, 179-190, 2014
312014
Feasibility of high-resolution quantitative perfusion analysis in patients with heart failure
E Sammut, N Zarinabad, R Wesolowski, G Morton, Z Chen, M Sohal, ...
Journal of Cardiovascular Magnetic Resonance 17 (1), 13, 2015
302015
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