ESC 365 - Automated recognition of regional wall motion abnormalities by deep neural network interpretation of echocardiography

ESC Premium Access

Automated recognition of regional wall motion abnormalities by deep neural network interpretation of echocardiography

Session: Advanced applications of cardiac strain imaging

Topic: Technology

Speaker: Doctor M. Huang (Tainan, TW)

Event: ESC Congress 2019

Congress Presentation

Add to my library

About the speaker

Doctor Mu Shiang Huang

National Cheng Kung University Hospital, Tainan (Taiwan)

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 M. Huang, 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