Course on Artificial Intelligence 4 Imaging

Course on Artificial Intelligence 4 Imaging

Maastricht UniversityMaastricht, LI
Jun 29, 2026 at 09:00 to Jul 2, 2026 at 17:00 CEST
Overview

Course on Artificial Intelligence for Imaging

This course on Artificial Intelligence for Imaging is a unique opportunity to join a community of leading-edge practitioners in the field of Quantitative Medical Imaging. Whether you are a researcher in the field or are interested about fostering this type of research in your clinic, during this 4-days immersive course you will be able to attend lectures and workshops from world-class experts in Radiomics, Deep Learning and Synthetic Data. Clinicians will receive basic training in the methods of Quantitative Image Analysis and will be able to interactively design a clinical trial. Researchers will receive in-depth lectures about the state of the art and deeper training in commonly used algorithms. Researchers can also bring their own curated dataset with for the hackathon (labelled, sorted by outcome, open source or fully anonymised, and cleared by ethics). If requested ahead of time, we will perform “data matching” for attendees to facilitate external cross validation. There will be ample opportunity to network with faculty members, other participants and companies.

Course on Artificial Intelligence for Imaging

This course on Artificial Intelligence for Imaging is a unique opportunity to join a community of leading-edge practitioners in the field of Quantitative Medical Imaging. Whether you are a researcher in the field or are interested about fostering this type of research in your clinic, during this 4-days immersive course you will be able to attend lectures and workshops from world-class experts in Radiomics, Deep Learning and Synthetic Data. Clinicians will receive basic training in the methods of Quantitative Image Analysis and will be able to interactively design a clinical trial. Researchers will receive in-depth lectures about the state of the art and deeper training in commonly used algorithms. Researchers can also bring their own curated dataset with for the hackathon (labelled, sorted by outcome, open source or fully anonymised, and cleared by ethics). If requested ahead of time, we will perform “data matching” for attendees to facilitate external cross validation. There will be ample opportunity to network with faculty members, other participants and companies.

Good to know

Highlights

  • 3 days 8 hours
  • In-person

Refund Policy

Refunds up to 30 days before the event

Location

Maastricht University

1 P. Debyeplein

room DEB1 B0.122 6229 HA Maastricht

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University of Maastricht
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