| Cardiomyocytes sense matrix rigidity through a combination of muscle and non-muscle myosin contractions P Pandey, W Hawkes, J Hu, WV Megone, J Gautrot, N Anilkumar, ... Developmental cell 44 (3), 326-336. e3, 2018 | 141 | 2018 |
| Automated echocardiographic detection of severe coronary artery disease using artificial intelligence R Upton, A Mumith, A Beqiri, A Parker, W Hawkes, S Gao, M Porumb, ... Cardiovascular Imaging 15 (5), 715-727, 2022 | 64 | 2022 |
| Probing the nanoscale organisation and multivalency of cell surface receptors: DNA origami nanoarrays for cellular studies with single-molecule control W Hawkes, D Huang, P Reynolds, L Hammond, M Ward, N Gadegaard, ... Faraday Discussions 219, 203-219, 2019 | 46 | 2019 |
| Automated echocardiographic detection of heart failure with preserved ejection fraction using artificial intelligence AP Akerman, M Porumb, CG Scott, A Beqiri, A Chartsias, AJ Ryu, ... JACC: Advances 2 (6), 100452, 2023 | 29 | 2023 |
| Calponin-3 is critical for coordinated contractility of actin stress fibers K Ciuba, W Hawkes, S Tojkander, K Kogan, U Engel, T Iskratsch, ... Scientific reports 8 (1), 17670, 2018 | 27 | 2018 |
| Left ventricular assessment with artificial intelligence increases the diagnostic accuracy of stress echocardiography JM O’driscoll, W Hawkes, A Beqiri, A Mumith, A Parker, R Upton, ... European Heart Journal Open 2 (5), oeac059, 2022 | 12 | 2022 |
| Regulation of cardiomyocyte adhesion and mechanosignalling through distinct nanoscale behaviour of integrin ligands mimicking healthy or fibrotic extracellular matrix W Hawkes, E Marhuenda, P Reynolds, C O'Neill, P Pandey, ... Philosophical Transactions of the Royal Society B 377 (1864), 20220021, 2022 | 11 | 2022 |
| Automated analysis of limited echocardiograms: Feasibility and relationship to outcomes in COVID-19 PA Pellikka, JB Strom, GM Pajares-Hurtado, MG Keane, B Khazan, ... Frontiers in Cardiovascular Medicine 9, 937068, 2022 | 5 | 2022 |
| Fully automated quantification of LV regional wall motion from echocardiograms to detect myocardial infarction S Gao, M Porumb, A Mumith, A Parker, S Walker, G Jones, A Chartsias, ... European Heart Journal-Cardiovascular Imaging 23 (Supplement_1), jeab289. 009, 2022 | 1 | 2022 |
| Automated Echocardiographic Detection of Heart Failure With Preserved Ejection Fraction Using Artificial Intelligence Is Associated With Cardiac Mortality and Heart Failure … C Cassianni, GD Huntley, M Castrichini, AP Akerman, M Porumb, ... Journal of the American Society of Echocardiography, 2024 | | 2024 |
| Clinical Utility Of An AI-Based Model For Detection Of Heart Failure With Preserved Ejection Fraction Using Decision Curve Analysis R Upton, AP Akerman, M Porumb, CG Scott, A Beqiri, A Chartsias, A Ryu, ... Journal of Cardiac Failure 30 (1), 130, 2024 | | 2024 |
| An Artificial Intelligence Based Model for Heart Failure With Preserved Ejection Fraction Predicts Cardiac Mortality CE Cassianni, GD Huntley, AP Akerman, M Porumb, CG Scott, ... Circulation 148 (Suppl_1), A17227-A17227, 2023 | | 2023 |
| Fully automated left ventricular ejection fraction and global longitudinal strain predicts obstructive coronary artery disease in patients undergoing stress echocardiography: a … J O'Driscoll, W Hawkes, A Beqiri, A Mumith, A Parker, R Upton, A McCourt, ... European Heart Journal 42 (Supplement_1), ehab724. 053, 2021 | | 2021 |
| Using deep learning to extract novel and quantitative imaging features from perfluoropropane contrast, sulphur hexafluoride contrast and non-contrast stress echocardiography images C Dockerill, W Woodward, A McCourt, A Beqiri, A Parker, A Mumith, ... European Heart Journal 41 (Supplement_2), ehaa946. 0005, 2020 | | 2020 |
