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Local blood viscosity and local Reynolds number are associated with coronary plaque calcium and lipid

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Congress Presentation

About the speaker

Doctor Vikas Thondapu

Massachusetts General Hospital, Boston (United States of America)
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Validating the diagnostic value of a machine learning algorithm for stemi detection

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The development of a computational fluid dynamics pipeline for the study of tetralogy of Fallot and coarctation of the aorta in a developing world context.

Speaker: Mr L. Swanson (Cape Town, ZA)


Comparison of Newtonian and non-Newtonian rheology in calculation of endothelial shear stress

Speaker: Doctor V. Thondapu (Boston, US)


More precise assessment of flow-mediated dilation by measuring individually determined maximum dilatory peak time in healthy middle-aged subjects and patients with diabetes mellitus type 2

Speaker: Doctor T. Herbrand (Duesseldorf, DE)


Aortic shape synthesiser - understanding anatomical variations of the thoracic aorta

Speaker: Doctor H. Lamecker (Berlin, DE)


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Poster Session 3 - Computational cardiology

Speakers: Doctor V. Thondapu, Doctor A. Frauenfelder, Mr L. Swanson, Doctor V. Thondapu, Doctor T. Herbrand...

About the event


ESC Congress 2019

31 August - 4 September 2019

Sessions Presentations

ESC 365 is supported by

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