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Artificial intelligence–based fully automated multi-class segmentation of aortic dissection in computed tomography images

29 August 2026 (08:15 - 09:00)
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Congress Presentation Part of: Multimodal and artificial intelligence-based imaging of vascular inflammation, remodelling, and outcomes Imaging of Aortic Disease ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

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Mr Wen Xie

Inselspital - University of Bern, Bern (Switzerland)

6 More presentations in this session

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What modifies the rate of aortic dilatation? Using AI to analyse and interpret a decade of echocardiographic images from three hospital surveillance clinics.
Doctor T. Ng (London, GB)
Abstract Slides
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Magnetic particle imaging of macrophage phagocytosis evaluates plaque vulnerability and therapeutic efficacy in atherosclerosis
Mr W. Tong (Beijing, CN)
Abstract Slides
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Systolic–diastolic energy loss imbalance and adverse outcomes in patients with worsening aortic regurgitation after TAVR
Mr S. Sasaki (Hokkaido, JP)
Abstract Slides
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The silent scar: remote myocardial fibrosis underlies diastolic dysfunction in women after STEMI-multimodality imaging phenotyping
Doctor D. Lukic (Belgrade, RS)
Abstract Slides
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Multimodal in vivo imaging of rabbit DVT-induced inflammation
Doctor G. Goudot (Paris, FR)
Abstract Slides

Access the full session

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Multimodal and artificial intelligence-based imaging of vascular inflammation, remodelling, and outcomes

The Event

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ESC Congress 2026

29 August 2026 08:15 CET
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ESC 365 is supported by

novartis Explore sponsored resources
novo-nordisk Explore sponsored resources