ESC 365 - angioPy: an open-source, deep learning-driven tool for coronary artery segmentation

ESC Premium Access

angioPy: an open-source, deep learning-driven tool for coronary artery segmentation

Session: Non-invasive methods for evaluating coronary artery disease

Topic: Angiography, Invasive Imaging

Speaker: Doctor T. Mahendiran (Aalst, BE)

Event: ESC Congress 2024

Congress Presentation

About the speaker

Doctor Thabo Mahendiran

Cardiovascular Research Center Aalst, Aalst (Belgium)

1 presentation

0 follower

7 more presentations in this session

Non-invasive imaging to guide percutaneous coronary revascularization in chronic total occlusion: a systematic review and meta-analysis

Speaker: Doctor G. Bisaccia (Chieti, IT)

Enhancing computational fluid dynamics simulation for coronary artery disease analysis through spatial iterative modeling

Speaker: Mr M. Arya (Izmir, TR)

Quantitative myocardial blood flow distribution derived from CCTA and determination of myocardium at risk in the FAST TRACK CABG trial

Speaker: Professor P. Serruys (Galway, IE)

Prognostic implication of computational angiography-derived fractional flow reserve in patients with non-obstructive coronary artery disease

Speaker: Mr Y. Hung (Hong Kong, HK)

Machine-learning based prediction of obstructive coronary artery disease using integrated submodules of clinical information, chest x-ray, and electrocardiography

Speaker: Professor R. Heo (Seoul, KR)

Access the full session

Non-invasive methods for evaluating coronary artery disease

Speakers: Doctor T. Mahendiran, Doctor G. Bisaccia, Mr M. Arya, Professor P. Serruys, Mr Y. Hung...

About the event

ESC Congress 2024

30 August - 2 September 2024

Sessions Presentations

Congress

ESC 365 is supported by

Explore sponsored resources

Explore sponsored resources