15th February 2018 6:00PM CET
The webinar will review the rationale for the extraction of quantative data from images and the most adequate model to do it. Several concepts like the relevancy of focusing on the clinical need for the development of new algorithms will be addressed. With the review of some strategies like the step-wise extraction of imaging biomarkers, the attendees will notice that Artificial Intelligence does not have to be an aim in itself but a powerful tool and companion that can significantly improve workflows of image analysis and image interpretation.
Angel Alberich-Bayarri’s main research lines are related to medical image processing and the application of artificial intelligence methods to radiology. He has worked in the development of several algorithms for Imaging Biomarkers analysis that promoted the creation of the start-up QUIBIM (Quantitative Imaging Biomarkers in Medicine), focused in the creation of a platform for the analysis of Imaging Biomarkers. He is member of the board of the European Society of Medical Imaging Informatics (EUSOMII) and of the e-Health and Informatics Subcommittee of the European Society of Radiology (ESR). Alberich-Bayarri is author of more than 50 publications in the field of imaging biomarkers, author of 13 book chapters and editor of 1 book on Imaging Biomarkers. He received the MIT Innovators Under 35 award in 2015.