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A deep learning algorithm for noise reduction in a novel respiratory-triggered single-shot phase sensitive inversion recovery myocardial delayed enhancement cardiac MRI pulse sequence

Session: Artificial intelligence 1
Topic: Late Gadolinium Enhancement
Speaker: Doctor M. Tang (Chicago, US)
Event: EACVI 2023

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Doctor Maxine Tang

The University of Chicago, Chicago (United States of America)
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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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The impact of real-time guiding by deep learning on test-retest variability of automated left ventricular systolic function measurements

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

Speaker: Mr S. Olaisen (Trondheim, NO)

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Access the full session

Artificial intelligence 1

Speakers: Doctor M. Tang, Doctor O. Mendoza Ibanez, Doctor C. Torlasco, Doctor J. Pedrosa, Doctor H. Pettersen...
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About the event

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EACVI 2023

10 May - 12 May 2023

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