Machine learning improves the long-term prognostic value of sequential cardiac PET/CT

27 August 2018 (08:30 - 08:39)

Organised by:

Video

Sign in for access options

Abstract

Slides

About the speaker

Doctor Luis Eduardo Juarez-Orozco

University Medical Center Utrecht, Utrecht (Netherlands (The))

9 More presentations in this session

Presentation thumbnail

Pulmonary blood volume index as a quantitative biomarker of diastolic function in hypertrophic cardiomyopathy

Doctor F. Ricci (Chieti, IT)

Abstract Slides Video

Presentation thumbnail

Diagnostic value of longitudinal flow gradient for the presence of hemodynamically significant coronary artery disease

Mr M. Bom (Amsterdam, NL)

Abstract Slides Video

Presentation thumbnail

Chemical exchange saturation transfer for the measure of myocardium metabolism status: preliminary validation in myocardial infarction pigs

Miss K. Diao (Chengdu, CN)

Abstract Slides Video

Presentation thumbnail

Dose-dependent effect of caffeine on adenosine-induced myocardial stress perfusion in Rubidium-82 PET/CT: no influence of one cup of coffee on myocardial flow reserve

Doctor C. Byrne (Copenhagen, DK)

Presentation thumbnail

Reduced global myocardial perfusion reserve in DCM and HCM patients assessed by CMR-based velocity-encoded coronary sinus flow measurements and first-pass perfusion imaging

Mr M. Bietenbeck (Munster, DE)

Access the full session

Session thumbnail

Clinical importance of quantification in imaging

The Event

ESC Congress 2018

27 August 2018 08:30 CET

You may be interested in

Webinar

Multimodality imaging in patients with suspected coronary artery disease: what to do and what to avoid

Congress Session

How to assess patients after transcatheter valve procedures

Webinar

Maximising multimodality imaging for patients with endocarditis

ESC 365 is supported by

novartis

Explore sponsored resources

ESC 365 is supported by

novartis

Explore sponsored resources