An artificial intelligence-based landmark model for early detection of aortic stenosis in Cardiac MRI

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An artificial intelligence-based landmark model for early detection of aortic stenosis in Cardiac MRI

Session: Imaging valvular heart disease and beyond

Topic: Valvular Heart Disease

Speaker: Doctor K. Vimalesvaran (London, GB)

Event: ESC Congress 2024

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About the speaker

Doctor Kavitha Vimalesvaran

Imperial College Healthcare NHS Trust, London (United Kingdom of Great Britain & Northern Ireland)

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6 more presentations in this session

Histopathological myocardial changes in patients with severe aortic stenosis referred for surgical valve replacement: a CMR correlation study.

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Association between CMR derived hepatic T1 times, tricuspid regurgitation severity, and outcomes.

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Systemic manifestations of connective tissue abnormalities in patients with Mitral Valve Prolapse assessed by Cardiac Magnetic Resonance

Speaker: Doctor M. Bernardi (Rome, IT)

Prognostic value of cardiac magnetic resonance global circumferential strain assessed by feature tracking techniques in asymptomatic patients with significant aortic regurgitation.

Speaker: Doctor I. Carrion-Sanchez (Madrid, ES)

Novel CMR-assessed right ventricular-pulmonary artery coupling index independently associates with exercise capacity and clinical risk in pulmonary arterial hypertension

Speaker: Professor L. Zhong (Singapore, SG)

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Imaging valvular heart disease and beyond

Speakers: Doctor K. Vimalesvaran, Doctor R. Reis Santos, Doctor K. Mascherbauer, Doctor M. Bernardi, Doctor I. Carrion-Sanchez...

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ESC Congress 2024

30 August - 2 September 2024

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