ESC 365 - Machine learning based automated diagnosis of ischemic vs non-ischemic dilated cardiomyopathy using 3D myocardial deformation analysis

ESC Premium Access

Machine learning based automated diagnosis of ischemic vs non-ischemic dilated cardiomyopathy using 3D myocardial deformation analysis

Session: Advanced applications of cardiac strain imaging

Topic: Deformation Imaging

Speaker: Doctor A. Satriano (Calgary, CA)

Event: ESC Congress 2019

Congress Presentation

Add to my library

About the speaker

Doctor Alessandro Satriano

University of Calgary, Calgary (Canada)

0 follower

9 more presentations in this session

Comparison of left ventricular global longitudinal strain measurements using contrast-enhanced and non-contrast echocardiographic images

Speaker: Ms S. Liang (Beijing, CN)

Biventricular global and regional strain measured by cardiovascular magnetic resonance based tissue tracking

Speaker: Miss Y. Qu (Nanjing, CN)

Prognostic influence of MDCT-derived global left ventricular longitudinal strain in patients with aortic stenosis treated with transcatheter aortic valve implantation

Speaker: Doctor T. Gegenava (Tbilisi, GE)

Cardiac magnetic resonance strain analysis predicts functional recovery following acute ST-segment elevation myocardial infarction

Speaker: Doctor F. Valente (Barcelona, ES)

Global longitudinal strain by feature tracking predicts adverse remodeling in ST-elevation myocardial infarction incremental to

Speaker: Doctor S. Reinstadler (Innsbruck, AT)

Access the full session

Advanced applications of cardiac strain imaging

Speakers: Doctor A. Satriano, Ms S. Liang, Miss Y. Qu, Doctor T. Gegenava, Doctor F. Valente...

About the event

ESC Congress 2019

31 August - 4 September 2019

Sessions Presentations

Congress

ESC 365 is supported by

Explore sponsored resources

Explore sponsored resources