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

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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

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Doctor Thabo Mahendiran

Cardiovascular Research Center Aalst, Aalst (Belgium)

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7 more presentations in this session

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

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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)

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Non-invasive methods for evaluating coronary artery disease

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

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ESC Congress 2024

30 August - 2 September 2024

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