ESC 365 - Reconstructing images and 3D whole-heart geometry from sparse cine cardiac MRI data

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Reconstructing images and 3D whole-heart geometry from sparse cine cardiac MRI data

Session: AI in cardiac image acquisition and analysis: current developments

Topic: Cardiovascular Image Processing

Speaker: Professor P. Lamata (London, GB)

Event: ESC Digital & AI Summit 2025

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About the speaker

Professor Pablo Lamata

King's College London, London (United Kingdom of Great Britain & Northern Ireland)

6 presentations

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4 more presentations in this session

EchoNet-Measurements: automated annotations on echo videos

Speaker: Mr Y. Sahashi (Los Angeles, US)

Deep-learning based plaque quantification and myocardial characterisation in photon counting computed tomography angiography

Speaker: Professor C. Antoniades (Oxford, GB)

Graph neural networks for analysis of echocardiography and beyond

Speaker: Associate Professor S. Thomas (Oslo, NO)

AI in cardiac image acquisition and analysis: current developments - discussion

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AI in cardiac image acquisition and analysis: current developments

Speakers: Professor P. Lamata, Mr Y. Sahashi, Professor C. Antoniades, Associate Professor S. Thomas

About the event

ESC Digital & AI Summit 2025

21 November - 22 November 2025

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ESC 365 is supported by

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