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HYBRID publications (3): Evaluating cancer severity with the help of artificial intelligence

10. Aug 2020 / by Annemarie Post

In June 2020, Nicolò Capobianco published the results of his collaboration with the HYBRID team in Orsay, France in the Journal of Nuclear Medicine. In the article he describes how artificial intelligence can be used to help doctors evaluate the severity of lymphoma in PET/CT images.

 

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HYBRID publications (2): Improving the comparison of PET images before and after cancer treatment

27. Jul 2020 / by Annemarie Post

Last year, Guilherme Domingues Kolinger published the first results of his HYBRID project in EJNMMI Research. In this paper he describes how the analysis of PET images can be made more reliable.

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HYBRID fellow Nicolò Capobianco wins poster award at SNMMI2020

16. Jul 2020 / by Annemarie Post

Nicolò Capobianco won a poster award at the SNMMI 2020 Annual Meeting – Virtual Edition with his poster ‘Transfer learning of AI-based uptake classification from 18F-FDG PET/CT to 68Ga-PSMA-11 PET/CT for whole-body tumor burden assessment'.

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