Back

Inter-operator reliability of an onsite machine learning-based prototype to estimate CT angiography-derived fractional flow reserve

9 May 2021 (00:00 - 00:00)
Organised by:
Congress Presentation Part of: Artificial Intelligence Computed Tomography Derived Fractional Flow Reserve (FFR-CT) EACVI Premium Access ICNC-CT 2021

About the speaker

Photo
Ms Yushui Han

Houston Methodist Hospital, Houston (United States of America)

4 More presentations in this session

Presentation thumbnail
Potential role of CT-radiomics of epicardial adipose tissue in the prognosis of atrial fibrillation catheter ablation outcome
Doctor J. Ilyushenkova (Tomsk, RU)
Abstract Slides Video
Presentation thumbnail
Radiomics analysis of myocardial perfusion SPECT images in patients with cardiomyopathy and heart failure
Assistant Professor K. Okuda (Hirosaki, JP)
Abstract Slides Video
Presentation thumbnail
Creation of mortality risk calculator using a I-123 mIBG-based machine learning model: differential prediction of arrhythmic death and heart-failure death
Professor K. Nakajima (Kanazawa, JP)
Abstract Slides Video
Presentation thumbnail
Prediction of obstructive coronary artery disease after Rb-82 PET myocardial perfusion imaging and coronary artery calcium scoring using machine learning
Doctor J. van Dijk (Zwolle, NL)
Abstract Slides Video

Access the full session

Session thumbnail
Artificial Intelligence

The Event

Event poster

ICNC-CT 2021

9 May - 11 May 2021

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources