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At the end of this month, the European Society of Oncologic Imaging (ESOI) and the European Society of Medical Imaging Informatics (EuSoMII) will host a joint multidisciplinary webinar, entitled “Artificial Intelligence in oncologic imaging: Current status and future directions“. The webinar will cover areas such as image normalisation, segmentation, and extraction of radiomics features through a variety of artificial intelligence (AI) techniques such as convolutional neural networks (CNN).

Participants in this webinar can expect to gain a better understanding of the steps of radiomics analysis, to learn how to use AI techniques to optimise the oncologic image analysis pipeline, to learn about the steps of imaging biomarkers extraction, and to better understand the importance of clinical endpoints for oriented radiomics research.

The speakers at this webinar include Professor Emanuele Neri and Dr. Angel Alberich-Bayarri. Neri is Chairman of the Research Committee and member of the Board of ESOI, was Past President of EuSoMII, and a past chair of the e-Health and Informatics subcommittee at the European Society of Radiology (ESR). Alberich-Bayarri is a telecommunications engineer with a specialisation in electronics, the scientific-technical director of the Biomedical Imaging Research Group of the Polytechnics and University Hospital La Fe, and a founder and director of QUIBIM (Quantitative Biomarkers in Medicine).

Although this webinar is typically open to active ESOI and EuSoMII members, by using this link, a limited number of individuals will be able to attend this event without a membership. Act now!

Date/Time: August 28, 2019, 18:00 CEST

To learn more about this event, click the following link: http://esoi-society.org/index.php?pid=23&lang=1

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Welcome to the blog on Artificial Intelligence of the European Society of Radiology

This blog aims at bringing educational and critical perspectives on AI to readers. It should help imaging professionals to learn and keep up to date with the technologies being developed in this rapidly evolving field.