Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failureSonia Shah, Christopher M. Haggerty, Anna Helgadóttir et al.|Nature Communications|2020Cited by 924
Deep Neural Networks Can Predict New-Onset Atrial Fibrillation From the 12-Lead ECG and Help Identify Those at Risk of Atrial Fibrillation–Related StrokeSushravya Raghunath, Christopher M. Haggerty, John M. Pfeifer et al.|Circulation|2021Cited by 299
Detecting structural heart disease from electrocardiograms using AITimothy J. Poterucha, Pierre Elias, Linyuan Jing et al.|Nature|2025Cited by 66
Deep Learning for Echo Analysis, Tracking, and Evaluation of Mitral Regurgitation (DELINEATE-MR)Aaron S. Long, Timothy J. Poterucha, Christopher M. Haggerty et al.|Circulation|2024Cited by 51
Table of ContentsChristopher E. Mascio, Francis Fynn‐Thompson, J. William Gaynor et al.|Journal of Thoracic and Cardiovascular Surgery|2012Cited by 0