Identification of non-calcified coronary plaque characteristics using machine learning radiomic analysis of non-contrast high-resolution CT

Back

ESC Professional Premium Access

Identification of non-calcified coronary plaque characteristics using machine learning radiomic analysis of non-contrast high-resolution CT

Session: New horizons in plaque imaging

Topic: Image Reconstruction

Speaker: Doctor M. Kruk (Warsaw, PL)

Event: ESC Congress 2022

Congress Presentation

Add to my library

About the speaker

Doctor Mariusz Kruk

National Institute of Cardiology, Warsaw (Poland)

0 follower

6 more presentations in this session

Automatic quantification of plaque progression dynamics as assessed by serial coronary computed tomography angiography using scan-quality-based vessel specific thresholds.

Speaker: Doctor F. Van Driest (Leiden, NL)

Access

Abstract

Slides

Application of machine learning to identify top determinants of fibrofatty plaque burden by CCTA in humans with psoriasis

Speaker: Doctor N. Mehta (Washington, DC, US)

Access

Abstract

Slides

Cardiometabolic predictors of quantitative high-risk plaque features in a diverse patient population

Speaker: Doctor J. Arce (Bronx, US)

Access

Abstract

Slides

Artificial intelligence-enabled comprehensive coronary phenotyping in patients with suspected CAD

Speaker: Doctor J. Viegas (Lisbon, PT)

Access

Abstract

Slides

Radiomics-based analysis by machine learning techniques improves characterization of functionally significant coronary lesions

Speaker: Mr G. Kalykakis (Athens, GR)

Access

Abstract

Slides

Access the full session

New horizons in plaque imaging

Speakers: Doctor M. Kruk, Doctor F. Van Driest, Doctor N. Mehta, Doctor J. Arce, Doctor J. Viegas...

Access

About the event

ESC Congress 2022

26 August - 29 August 2022

Sessions Presentations

Congress

ESC 365 is supported by

Explore sponsored resources