19 citations · 20 across the 4 of their papers we have counts for
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cs.CV2021★ 1 cited
Non-invasive hemodynamic analysis for aortic regurgitation using computational fluid dynamics and deep learning
Derek Long, Cameron McMurdo, Edward Ferdian +4
Changes in cardiovascular hemodynamics are closely related to the development of aortic regurgitation, a type of valvular heart disease. Metrics derived from blood flows are used t…
eess.IV2021★ 19 cited
Deep Learning Analysis of Cardiac MRI in Legacy Datasets: Multi-Ethnic Study of Atherosclerosis
Avan Suinesiaputra, Charlene A Mauger, Bharath Ambale-Venkatesh +9
The shape and motion of the heart provide essential clues to understanding the mechanisms of cardiovascular disease. With the advent of large-scale cardiac imaging data, statistica…