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A deep learning approach to generate contrast-enhanced computerised tomography angiograms without the use of intravenous contrast agents

28 August 2020 (08:00 - 18:00)
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Congress Presentation Part of: Computed Tomography ePosters Technology ESC Premium Access ESC Congress 2020

About the speaker

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Mr Anirudh Chandrashekar

University of Oxford, Oxford (United Kingdom of Great Britain & Northern Ireland)

33 More presentations in this session

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Incremental prognostic value of pericoronary adipose tissue attenuation on top of comprehensive CCTA assessment
Mr P. Van Diemen (Amsterdam, NL)
Abstract Slides
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Left atrial size derived by non-contrast cardiac computed tomography and risk of incident atrial fibrillation
Mrs M. Fredgart (Odense, DK)
Abstract Slides
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The association of pericoronary adipose tissue attenuation with major adverse cardiac events (MACE) and atherosclerosis-relevant inflammatory mediators
Doctor M. Goeller (Erlangen, DE)
Abstract Slides
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A deep learning approach to automate high-resolution blood vessel reconstruction on computerised tomography images with or without the use of contrast agents
Mr A. Chandrashekar (Oxford, GB)
Abstract Slides
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Prognostic value of peri-coronary adipose tissue attenuation and whole vessel and lesion plaque quantification on Coronary Computed Tomography Angiography
Doctor M. Hoshino (Amsterdam, NL)
Abstract Slides

Access the full session

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Computed Tomography ePosters

The Event

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ESC Congress 2020

28 August 2020 08:00 CET
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