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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

Session: Artificial intelligence 1
Topic: Artificial Intelligence (Machine Learning, Deep Learning)
Speaker: Doctor C. Torlasco (Milan, IT)
Event: EACVI 2023

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Doctor Camilla Torlasco

San Luca Hospital of Milan, Milan (Italy)
2 presentations
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7 more presentations in this session

Impact of Motion Correction tools on reliability and agreement of three software packages for dynamic- perfusion PET/CT processing

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Evaluation of automatic pericardial segmentation methods in computed tomography images

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

Speaker: Doctor G. Delso (Barcelona, ES)

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Artificial intelligence 1

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

10 May - 12 May 2023

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