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The impact of real-time guiding by deep learning on test-retest variability of automated left ventricular systolic function measurements

10 May 2023 (08:00 - 20:00)
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Congress Presentation Part of: Artificial intelligence 1 Artificial Intelligence EACVI Premium Access EACVI 2023

About the speaker

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Mr Haakon Pettersen

Norwegian University of Science and Technology, Trondheim (Norway)

7 More presentations in this session

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Impact of Motion Correction tools on reliability and agreement of three software packages for dynamic- perfusion PET/CT processing
Doctor O. Mendoza Ibanez (Groningen, NL)
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Use of artificial intelligence to automatically predict the optimal patient-specific inversion time for late gadolinium enhancement imaging. Tool development and clinical validation
Doctor C. Torlasco (Milan, IT)
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Evaluation of automatic pericardial segmentation methods in computed tomography images
Doctor J. Pedrosa (Porto, PT)
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Automatic measurements of left ventricular volumes and ejection fraction by artificial intelligence reduces time-consumption and inter-observer variability
Mr S. Olaisen (Trondheim, NO)
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A deep learning approach for accurate and robust T1 estimation from cardiac magnetic resonance MOLLI sequences
Doctor G. Delso (Barcelona, ES)
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Access the full session

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Artificial intelligence 1

The Event

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EACVI 2023

10 May - 12 May 2023
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ESC 365 is supported by

novartis Explore sponsored resources