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Enhanced detection of aortic stenosis using a multimodal deep learning approach combining ECG and chest X-ray data

12 December 2024 (09:30 - 10:15)
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Congress Presentation Part of: Cross modality and Multi modality imaging Imaging of Valvular Heart Disease EACVI Premium Access EuroEcho-Imaging 2024 European Association of Cardiovascular Imaging (EACVI)

About the speaker

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Doctor Shun Nagai

Kobe University, Kobe (Japan)

4 More presentations in this session

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Long COVID echocardiography, cardiac MRIi, and endomyocardial biopsy findings in previously healthy individuals
Doctor O. Gomez Monterrosas (Puebla, MX)
Abstract Slides
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Multi-modality non-invasive assessment of cardiopulmonary haemodynamics using cardiovascular magnetic resonance pulmonary transit time and echocardiography
Assistant Professor P. Haaf (Basel, CH)
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Branch pulmonary artery flows calculated using velocity time integral correlate with MRI in pediatric pulmonary vein stenosis
Doctor A. Dragulescu (Toronto, CA)
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Imaging of the ascending aorta by transthoracic echocardiography: would adding medial sliding with clockwise rotation of the transducer to the recommended aortic view increases the visualized segment
Associate Professor H. Farouk (Cairo, EG)
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Cross modality and Multi modality imaging

The Event

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EuroEcho-Imaging 2024

12 December 2024 09:30 CET
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ESC 365 is supported by

novartis Explore sponsored resources