Speaker illustration

Doctor Camilla Torlasco

San Luca Hospital of Milan, Milan (Italy)

Member of:

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

Event: EACVI 2023

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Session: Artificial intelligence 1

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Dark blood ischemic LGE segmentation using a deep learning approach

Event: EuroCMR 2021

Topic: Late Gadolinium Enhancement

Session: ePoster session

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Pulsatile and resistive systolic loads as determinants of left ventricular remodelling after physical training

Event: EACVI - Best of Imaging 2020

Topic: Imaging in Prevention and Rehabilitation

Session: ePoster session

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Left atrial size and function assessment through CMR in thalassemia major patients

Event: EuroCMR 2019

Topic: Systolic and Diastolic Function

Session: Poster session 2

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Age matters: differences in cardiac response to training in young and middle aged first-time marathon runners.

Event: ESC Congress 2018

Topic: Morphology, Dimensions, Volumes and Mass

Session: Dimensions, volumes, and mass

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Role of T1 mapping as a complementary tool to t2* for cardiac iron overload assessment

Event: EuroCMR 2017

Topic: Cardiac Magnetic Resonance

Session: Quick Fire abstract session 5

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A marathon runner athlete with potential vascular ring?

Event: EuroCMR 2017

Topic: Cardiac Magnetic Resonance

Session: Moderated eCase session 1

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