Back

Whole-CCT: fully automated whole-cardiac substructures segmentation and quantification in CT imaging

29 August 2025 (14:15 - 15:00)
Organised by: Logo
Congress Presentation Part of: Computed tomography-based risk stratification Morphology, Dimensions, Volumes and Mass ESC Professional Premium Access ESC Congress 2025 European Society of Cardiology

About the speaker

Photo
Mr Pooya Mohammadi Kazaj

Bern University Hospital, Inselspital, Bern (Switzerland)

6 More presentations in this session

Presentation thumbnail
Effect of coronary calcium-informed statin therapy on peri-coronary adipose tissue attenuation in intermediate-risk patients: post-hoc analysis of the CAUGHT-CAD randomised-controlled trial
Mr E. Xu (Melbourne, AU)
Abstract Slides Video
Presentation thumbnail
Prediction of calcified nodule using coronary CT angiography
Doctor Y. Tanizaki (Yokohama, JP)
Abstract Slides Video
Presentation thumbnail
Differential atherosclerotic burden and ischemic risk across major coronary arteries: a comparative analysis using quantitative coronary computed tomography angiography; a CREDENCE trial substudy
Doctor P. Kamila (Malang, ID)
Abstract Slides Video
Presentation thumbnail
A novel cardiac computed tomography-based calcium scoring system for predicting the use of debulking devices in severely calcified coronary lesions: CT-CALC score
Doctor Y. Nakano (Fukuoka, JP)
Abstract Slides Video
Presentation thumbnail
Association of PM2.5 long-term exposure with coronary artery disease severity and calcification assessed by coronary CT-angiography
Doctor A. Poopak (Tehran, IR)
Abstract Slides Video

Access the full session

Session thumbnail
Computed tomography-based risk stratification

The Event

Event poster

ESC Congress 2025

29 August 2025 14:15 CET
You may be interested in
thumbnail
Congress Presentation
CMR-Seg: a fully automated deep learning-based cardiac MRI segmentation and quantification
thumbnail
Congress Presentation
Deep learning enables the fully automated quantification of high-resolution cardiac CT images: human in loop for model development
thumbnail
Congress Presentation
Fully automated artificial intelligence-based cine cardiac magnetic resonance image quantification

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources