Future Events

WEBINAR   Trustworthy AI in medical image analysis  by  Kostas Marias 30 MAY 2022 – 7:00 PM CEST

REGISTRATION LINK:  https://us02web.zoom.us/webinar/register/WN_Q1gH06mvQLuhjU2Gj0ltog

TOPIC

This talk will start from the basics of AI in medical Image Analysis also discussing the some important concepts and milestones that led to the unprecedented progress in the field. The talk will focus in medical image texture and will explain the mechanisms of texture descriptors as the basis of radiomics and AI. Last, the need for trustworthiness and multi-faceted validation as a prerequisite for clinical adoption, will be discussed in detail.

SUMMARY PROFILE AND ACHIEVEMENTS

Kostas Marias (PhD) is an Associate Professor in Medical Image Processing at the Dept. of Electrical & Computer Engineering at the Hellenic Mediterranean University in Greece and is the head and founder of the Computational Biomedicine Laboratory at FORTH-ICS. Ηe served as Principal Researcher at the Institute of Computer Science of the Foundation for Research & Technology Hellas (ICS-FORTH) since 2006. During 2000-2002, he worked as a medical image analysis Research Assistant at the University of Oxford and from 2003-2006 as Associated Researcher at FORTH-ICS. He received his PhD in Medical Image Analysis and Medical Physics from UCL Royal Free & University College Medical School working jointly with the University of Oxford, UK. He has coordinated two EC projects on cancer modelling (ContraCancrum and TUMOR projects), and has actively participated in several other EC funded projects developing ICT technology focusing on cancer image analysis. Kostas Marias is a dedicated professional member of IEEE for 18 years and has served with diverse organisational roles in many important IEEE conferences in the field of biomedical informatics and imaging such as EMBC, BIBE and IST either as member of the scientific committee, organising committee, in special sessions, program co-chair, etc. He is co-author of more than 250 papers in international journals, books and conference proceedings focusing on medical image processing and analysis, biomedical informatics, image-based modelling and Radiomics/deep learning medical imaging applications.