COURSE FROM

MONDAY 29 JUNE TO THURSDAY 2 JULY 2026

Testimonial from the 2022 edition

ABOUT US

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, Foundation Models, In Silico Trials, 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.  There will be ample opportunity to network with faculty members, other participants and companies.
Medical imaging has been the cornerstone for the management of patients for decades, particularly in oncology. Imaging data such as CT, MRI or PET are routinely acquired for every  patient in the process of diagnosis, treatment planning, image-guided interventions, and response assessment. The use of image analysis in a quantitative way is now considered as one of the most promising techniques to support clinical decisions.
Quantitative Image Analysis looks at the phenotypic expression of genes, which results in particular imaging features or signatures able to characterize the imaged tissue and the underlying biology.  By converting standard medical images into mineable data, the processes and methods of data science can be applied to them. Imaging features are distilled through machine learning into quantitative imaging biomarkers. A major challenge for the community is the availability of data in compliance with existing and future privacy laws. Synthetic data and virtual clinical trial offer a solution to this issue and will also form a part of the methods explored in this course.

Registration

Registration is open.

All information is available here

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Programme

The preliminary programme has been revealed

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Venue and accommodation

Venue
Maastricht University
Room DEB1 B0.122
Peter Debyeplein 1, Maastricht

Accommodation
Rooms can be booked at NH Maastricht or another hotel of your choice

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COURSE CONTENT

The course will be divided into lectures during the morning and hands on assignments in the afternoon. Parts of the course will be split into clinical and technical tracts, depending on your level of expertise. Participants of the hackathon will compete agains each other on a cutting edge clinical challenge.
Our starting point is an overview of the state of the art in Medical Imaging Artificial Intelligence. We then discuss the success stories but also the pitfalls.  Next, we will review the latest contributions to the clinic and will ensure that clinicians and researchers alike receive the tools not only to apply this techniques but also further the field.
The clinical track will  learn more about the clinical implementation of quantitative imaging, from acquisition protocols to software solutions and finally the how to design trials for AI-based decision support systems.
The technical track will focus on advances in foundation models and harmonisation techniques, new deep learning architectures, and current workflow solutions.
In the final part of the course, we will discuss the current challenges and directions of research in the field; in particular, the necessity of dealing with large annotated data sets, the FAIR principles and the distributed learning approach.

We offer you:

o   Knowledge

o   Skills and experience (e.g. in quantitative imaging analysis but also in outlining imaging related clinical trials)

o   Network – connect to our growing network of Alumni, including the top names in the field. AI4Imaging LinkedIn

o   Documentation (papers, presentations, useful websites…)

o   The possibility to spend time in the D-Lab in Maastricht to analyse own data after the course.

TARGET AUDIENCE

  • clinicians in medical imaging (e.g. radiologists, oncologists, neurologists, cardiologists, ophthalmologists, dermatologists, ENT surgeons)
  • medical physicists with an interest in research
  • medical imaging researchers
  • computer scientists with an interest in medical imaging
  • academics researching quantitative imaging

LEARNING OBJECTIVES

Regarding Radiomics, Deep Learning, Foundation Models, Harmonization, In Silicon Trials and Synthetic Data, after this course you will be able to:

  • Understand the fundamentals of big data analysis
  • Understand the advantages and pitfalls of synthetic data generation
  • Critically evaluate the literature and review published articles
  • Understand how to implement a simple AI algorithm in order to answer a clinical question to augment a human decision
  • Gain the tools to plan and evaluate an imaging-based clinical trial
  • Gain basic understanding of regulation and privacy laws
  • Gain basic understanding of increasing the interpretability of AI models
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ORGANISER

h.woodruff@maastrichtuniversity.nl

Henry C. Woodruff - Course director, Maastricht University

FACULTY 2026

  • Henry Woodruff, Maastricht University, The Netherlands (Course Director)
  • Anshu Ankolekar, Maastricht University, The Netherlands
  • André Dekker, MAASTRO, The Netherlands
  • Jaap F.A. Jansen, Maastricht UMC+ & Eindhoven University of Technology (TU/e)
  • Shahab Jolani, Maastricht University, The Netherlands
  • Philippe Lambin, Maastricht University, The Netherlands
  • Benoît Macq, Université catholique de Louvain, Belgium
  • Fanny Orlhac, LITO – Inserm/Institut Curie, France
  • Bram van Ginneken, Radboud UMC, The Netherlands

SOCIAL PROGRAMME

All participants are invited to the after-course social event on
Tuesday evening.

This event is for delegates and faculty only. 

It is not possible to bring any accompanying persons.  Pre-registration is compulsory.

SPONSORSHIP

What are your benefits of sponsoring the course on AI4Imaging:

BRANDING

Invest in your brand equity by supporting our community

TALENT ATTRACTION

Connect with researchers, clinicians, engineers, analysts, data scientists at the forefront of AI, Imaging, deep learning, synthetic data and radiomics

THOUGHT LEADERSHIP

Demonstrate your company's leadership and innovation chops in front of the brightest minds in the field

Come and tell our audience what your company has to offer them.
The earlier editions (2018, 2019, 2022, 2023 and 2024) were an enormous success with the maximum amount of participants.

The dedicated and tailored content of our course requires discussions and coding in a group setting and this functions best in physical attendance. 

Consult our sponsorship prospectus 2026 or send your sponsorship request to Mieke at info@ai4imaging.org