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

Session: Artificial intelligence 1
Topic: Artificial Intelligence (Machine Learning, Deep Learning)
Speaker: Mr H. Pettersen (Trondheim, NO)
Event: EACVI 2023

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Mr Haakon Pettersen

Norwegian University of Science and Technology, Trondheim (Norway)
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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

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Automatic measurements of left ventricular volumes and ejection fraction by artificial intelligence reduces time-consumption and inter-observer variability

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A deep learning approach for accurate and robust T1 estimation from cardiac magnetic resonance MOLLI sequences

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Artificial intelligence 1

Speakers: Mr H. Pettersen, Doctor O. Mendoza Ibanez, Doctor C. Torlasco, Doctor J. Pedrosa, Mr S. Olaisen...
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EACVI 2023

10 May - 12 May 2023

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