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

10 May 2023 (08:00 - 20:00)

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About the speaker

Doctor Gaspar Delso

GE Healthcare, Barcelona (Spain)

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)

Abstract Slides

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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)

Abstract Slides

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Evaluation of automatic pericardial segmentation methods in computed tomography images

Doctor J. Pedrosa (Porto, PT)

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

Doctor H. Pettersen (Trondheim, NO)

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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)

Abstract Slides

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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

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