Back
ESC Premium Access

Machine learning approach for prdiction of postinfarction myocardial recovery using echocardiographic myocardial texture

Session: Poster Session 5 - Imaging, miscellaneous
Topic: Technology
Speaker: Doctor B. Michalski (Lodz, PL)
Event: ESC Congress 2019

Congress Presentation

Add to my library

Like

About the speaker

Doctor Blazej Michalski

Medical University of Lodz, Lodz (Poland)
5 presentations
0 follower

10 more presentations in this session

Circumferential ascending aortic strain in healthy adults aged 24 to 75 years

Speaker: Doctor C. Pan (Shanghai, CN)

Access
Abstract
Like
Thumbnail

Use of LV Deformation Imaging to predict long term Heart Failure Risk in high risk patients

Speaker: Professor T. Marwick (Melbourne, AU)

Access
Abstract
Like
Thumbnail

Comparison between left bundle branch pacing and His bundle pacing using two-dimensional speckle tracking echocardiography

Speaker: Professor X. Shu (Shanghai, CN)

Access
Abstract
Like
Thumbnail

Pathophysiology of left atrial filling in mitral regurgitation. A new volumetric flow rate index describing disturbed left atrial filling behavior in mitral regurgitation by 3D TTE

Speaker: Mr D. Frumkin (Berlin, DE)

Access
Abstract
Like
Thumbnail

Echocardiographically determined myocardial work An emerging bioassay for clinical studies Results from the STAAB cohort study

Speaker: Doctor C. Morbach (Wuerzburg, DE)

Access
Abstract
Like
Thumbnail

Access the full session

Poster Session 5 - Imaging, miscellaneous

Speakers: Doctor B. Michalski, Doctor C. Pan, Professor T. Marwick, Professor X. Shu, Mr D. Frumkin...
Access
Like
Thumbnail

About the event

Image

ESC Congress 2019

31 August - 4 September 2019

Sessions Presentations

Congress
logo Image

ESC 365 is supported by

logo Bristol Myers Squibb Explore sponsored resources
logo Novo Nordisk Explore sponsored resources