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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
2902016
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
1062015
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 (5), 1121-1139, 2016
802016
Stem cell therapy for heart diseases
AM Mozid, S Arnous, EC Sammut, A Mathur
British Medical Bulletin 98 (1), 143-159, 2011
792011
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
782016
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
732018
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), 1-11, 2015
532015
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 (4), 807-828, 2015
512015
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), 1-12, 2014
492014
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
462013
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
452020
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 (3), 605-618, 2017
442017
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
432014
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), 1-9, 2014
402014
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
372016
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
322016
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 (2), 179-190, 2014
272014
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
252017
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
242021
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), 1-11, 2015
232015
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