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

11 December 2024 (00:00 - 16:00)
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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)
Abstract Slides
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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)
Abstract Slides
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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)
Abstract Slides

Access the full session

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Cross modality and Multi modality imaging

The Event

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EuroEcho-Imaging 2024

11 December - 13 December 2024
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novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources