Back

Use of artificial intelligence to automatically predict the optimal patient-specific inversion time for late gadolinium enhancement imaging. Tool development and clinical validation

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

About the speaker

Photo
Doctor Camilla Torlasco

IRCCS Istituto Auxologico Italiano, Milan (Italy)

7 More presentations in this session

Presentation thumbnail
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
Presentation thumbnail
Evaluation of automatic pericardial segmentation methods in computed tomography images
Doctor J. Pedrosa (Porto, PT)
Abstract Slides
Presentation thumbnail
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)
Abstract Slides
Presentation thumbnail
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
Presentation thumbnail
A deep learning approach for accurate and robust T1 estimation from cardiac magnetic resonance MOLLI sequences
Doctor G. Delso (Barcelona, ES)
Abstract Slides

Access the full session

Session thumbnail
Artificial intelligence 1

The Event

Event poster

EACVI 2023

10 May - 12 May 2023
You may be interested in
thumbnail
Congress Session
Evolutions in arrythmia and syncope management
thumbnail
Congress Session
Artificial intelligence in heart failure research and clinical practice
thumbnail
Congress Presentation
Artificial intelligence in echocardiography: what will the future bring?

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources