ESR/ESOR Fundamentals of Radiological Research Course

Hot-topic research: Studies of machine learning for image analysis

January 11, 2022 | 13:30 CET


The ESR Research Committee, in collaboration with the European School of Radiology, is pleased to announce the ESR/ESOR Fundamentals of Radiological Research Course.
Why do research? How to design a study? How to present research? BIG Questions! The ESR/ESOR has answers from some of the biggest names in radiology!

This is a free online course for ESR members working in Radiology departments. It is aimed at understanding the fundamentals of research methodology in the field of imaging. Come and join some of the leading voices in research in radiology! Boost your career in research by learning from the best!

The course consists of 5 online sessions of 60 min (40 min talks, 20 min Q&A) which will be led by luminaries in the field plus one on-site session at the ECR 2022, to which attendees of min. 4/5 of the online sessions will be specially invited. Visit our Upcoming section to see all sessions.

Registration includes on-demand access until April 11, 2022.

Learning Objectives:
• What is medical deep learning?
• What is radiomics?
• Why will machine learning fundamentally change Radiology?
• How to correctly assess and validate machine learning for imaging analysis?
• How to become involved in machine learning research?



Marc Dewey

Berlin, Germany



Julia A. Schnabel

London, United Kingdom