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Scientific Reports|June 11, 2026
Four-dimensional left ventricular motion clustering reveals cardiovascular phenotypes at population scalePierre-Raphael Schiratti, Soodeh Kalaie, Jin Zheng, et al.
Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society for Cardiovascular Magnetic Resonance|June 23, 2024
Improving the efficiency and accuracy of cardiovascular magnetic resonance with artificial intelligence-review of evidence and proposition of a roadmap to clinical translationQiang Zhang, Anastasia Fotaki, Sona Ghadimi, et al.
European Journal of Cardio-Thoracic Surgery : Official Journal of the European Association for Cardio-Thoracic Surgery|October 23, 2019
Phase-contrast magnetic resonance imaging and computational fluid dynamics assessment of thoracic aorta blood flow: a literature reviewOmar A Jarral, Matthew K H Tan, Mohammad Yousuf Salmasi, et al.
Cardiovascular Engineering and Technology|October 25, 2024
The Influence of Material Properties and Wall Thickness on Predicted Wall Stress in Ascending Aortic Aneurysms: A Finite Element StudyYu Zhu, Selene Pirola, M Yousuf Salmasi, et al.
British Journal of Pharmacology|February 6, 2020
IL-11 in cardiac and renal fibrosis: Late to the party but a central playerBenjamin Corden, Eleonora Adami, Mark Sweeney, et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics|January 26, 2018
CardioClassifier: disease- and gene-specific computational decision support for clinical genome interpretationNicola Whiffin, Roddy Walsh, Risha Govind, et al.
European Heart Journal|August 22, 2025
Sex-specific body fat distribution predicts cardiovascular ageingVladimir Losev, Chang Lu, Shamin Tahasildar, et al.
IEEE Transactions on Medical Imaging|January 25, 2019
Automatic 3D Bi-Ventricular Segmentation of Cardiac Images by a Shape-Refined Multi- Task Deep Learning ApproachJinming Duan, Ghalib Bello, Jo Schlemper, et al.
Journal of the American College of Cardiology|December 24, 2016
Clinical and Mechanistic Insights Into the Genetics of CardiomyopathyMichael A Burke, Stuart A Cook, Jonathan G Seidman, et al.
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