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Deep learning survival analysis enhances the value of hybrid PET/CT for long-term cardiovascular event prediction

31 August 2019 (00:00 - 00:00)
Organised by:
Congress Presentation Part of: Nuclear cardiology: from bench to bedside Hybrid and Fusion Imaging ESC Premium Access ESC Congress 2019

About the speaker

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Mr Jan Walter Benjamins

University Medical Centre Groningen, Groningen (Netherlands (The))

6 More presentations in this session

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Non-invasive angiogenesis assessment with PET/CT in a rabbit model of myocardial infarction: feasibility and comparison with molecular markers
Miss C. Grandjean Poulsen (Copenhagen, DK)
Abstract Slides
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Evaluation of alphavbeta3 integrin-targeted positron emission tomography and photoacoustic tracer for imaging of carotid plaque in apoE-/- mice
Professor Y. Yao (Nanjing, CN)
Abstract Slides
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Zirconium-89 labelled probe for molecular imaging of inflammation in experimental atherosclerosis
Doctor M. Ahmed (Boston, US)
Abstract
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18F-FDG perfusion-metabolism mismatch 3 days after acute myocardial infarction predicts worse outcome: molecular glucose steel phenomenon visualized by hybrid PET-MRI images
Doctor N. Pavo (Vienna, AT)
Abstract
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Comparison of CZT-SPECT with conventional A-SPECT and PET for diagnosing hemodynamically significant coronary artery disease: a bivariate meta-analysis
Mr N. Dai (Shanghai, CN)

Access the full session

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Nuclear cardiology: from bench to bedside

The Event

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ESC Congress 2019

31 August - 4 September 2019
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novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources