Developing cardiac digital twin populations powered by machine learning provides electrophysiological insights in conduction and repolarizationShuang Qian, Steven Niederer, X Liu et al.|Nature Cardiovascular Research|2025Cited by 31
Cardiac digital twins at scale from MRI: Open tools and representative models from ~ 55000 UK Biobank participantsDevran Uğurlu, Martin J. Bishop, Shuang Qian et al.|PLoS ONE|2025Cited by 8
Developing Cardiac Digital Twins at Scale: Insights from Personalised Myocardial Conduction VelocityShuang Qian, Steven Niederer, Devran Uğurlu et al.|medRxiv|2023Cited by 5
Cardiac digital twins of the adult population: linking electrophysiological functions to anatomyShuang Qian, Steven Niederer, Devran Uğurlu et al.|EP Europace|2023Cited by 3
Anatomical-electrical coupling of cardiac axes: Definitions and population variability for advancing personalised ECG interpretationMohammad Kayyali, Pablo Lamata, Ana Mincholé et al.|PLoS Computational Biology|2025Cited by 1