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3rd Summer School Al4Imaging

From September 7th to 11th the 3rd Al4Imaging Summer School invites early-career researchers to participate in an interdisciplinary training program under the theme “Artificial Intelligence Imaging,”  at the interface of medical imaging and artificial intelligence.

The Summer School is organized by Universtitätsklinik für Radiologie und Nuklearmedizin and the Comprehensive Center for Artificial Intelligence in Medicine

The Summer School aims to support young scientists after their PhD in developing independent research ideas and preparing competitive proposals for third-party funding (e.g., DFG, FWF, or similar funding schemes). A central goal of the program is to strengthen collaboration between medicine and computer science in the rapidly evolving field of AI-driven imaging.

List of Speakers

  • Ulrike Attenberger
    Department of Biomedical Imaging and Image-Guided Therapy, MedUni Vienna/University Hospital Vienna, Austria
  • Kayhan Batmanghelich
    Department of Electrical and Computer Engineering at Boston University
  • Paola Clauser
    Department of Biomedical Imaging and  Image-Guided Therapy, Division of General and Paediatric Radiology, MedUni Vienna/University Hospital Vienna, Austria
  • Mirjam Gerwing
    University Institute for Diagnostic and Interventional Radiology, Klinikum Lippe, Germany
  • Ben Glocker
    Department Infrastructure, Machine Learning for Imaging, Kheiron/RAEng Research, Chair in Safe Deployment of Medical Imaging AI, Department of Computing, Imperial College London, UK
  • Horst Hahn
    Digital Medicine, University of Bremen, Fraunhofer MEVIS, Germany
  • Anja Hennemuth
    Institute of Cardiovascular Computational Medicine, Charité - Universitätsmedizin Berlin; Fraunhofer Institute for Digital Medicine MEVIS, Bremen; Faculty of Computer Science and Electrical Engineering, Technical University Berlin, Germany
  • Gregor Kasprian
    Department of Biomedical Imaging and Image-Guided Therapy, Division of Neuroradiology and Musculoskeletal Radiology, MedUni Vienna/ University Hospital Vienna, Austria
  • Georg Langs
    Department of Biomedical Imaging and Image-Guided Therapy, MedUni Vienna/University Hospital Vienna, Comprehensive Center for Artificial Inelligence in Medicine, MedUni Vienna, Austria
  • Siegfried Meryn
    Founder Future Health Lab
  • Björn Menze
    Biomedical Image Analysis and Machine Learning, University of Zurich, Switzerland
  • Chris van Run
    Grand Challenge, Diagnostic Image Analysis Group, Radboudumc, The Netherland
  • Daniel Pinto dos Santos
    University Medical Center Mainz, Division for AI and Medical Imaging Data Science, Germany
  • Veronika Schöpf
    Interdisciplinary Transformation University, Linz, Austria
  • Laura Stappert
    Deutsche Forschungsgemeinschaft, Bonn, Germany
  • Martin-Michael Uggowitzer
    Institute for Radiology and Nuclear Medicine, Central X-Ray Institute, LKH Hochsteiermark, Austrian Radiology Society, Leoben, Austria
  • Gerlig Widmann
    Department of Radiology, Tirol Kliniken GmbH, Medical University Innsbruck, Austria
  • Song Xue
    Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, MedUni Vienna/University Hospital Vienna, Austria

Scientific Focus

Artificial intelligence (AI) is playing an increasingly important role in modern medicine. Advances in imaging technologies and data science enable new approaches for the analysis and integration of complex biomedical datasets.

Topics addressed during the Summer School include:

  • automated disease detection and characterization
  • radiomics and quantitative imaging analysis
  • multimodal data integration
  • integration of imaging and text data
  • dose optimization
  • structured reporting
  • Large Language Models & Vision Language Models in Medicine

The Summer School provides a transdisciplinary training platform for researchers from medicine, computer science, engineering, and related natural sciences. Participants will work on developing and refining their own research ideas, with the aim of transforming them into competitive project proposals.

Program

The Summer School comprises a one-week program including lectures, interactive discussions, and practical sessions. A central component of the program is a collaborative hackathon, during which participants jointly develop a prototype AI-based imaging application.

Following the Summer School, participants will be encouraged to further develop their project outlines into competitive proposals for individual research funding (e.g., DFG, FWF, or European funding programs).

 

Monday, 7th September 2026

8.00 – 9.00 am

Welcome and Round of Introductions

9.00 – 10.00 am

Introductory Lecture
Role of AI in Medical Imaging – From Promise to Practice
Daniel Pinto dos Santos

10.00 – 10.30 am

Coffee Break

10.30 – 11.30 am

Mathematical Basics of Machine Learning and Model Optimization
Georg Langs

11.30 am – 12.30 pm

How to Review an AI Paper – The Editors' Perspective

Paola Clauser

12.30 – 1.30 pm

Lunch

1.30 – 2.00 pm

CIR Team: Introduction to the Hackathon

2.00 - 3.00 pm

Hackathon 1

3.00 – 4.00 pm

Coffee Break

4.00 – 7.00 pm

Hack in the Evening

Tuesday, 8th September 2026

8.30 – 9.30 am

Lessons from the Leaderboard: Evaluating Medical Imaging AI at Scale
Chris van Run

9.30 – 10.30 am

Remote Radiology

Martin-Michael Uggowitzer

10.30 – 11.00 am

Coffee Break

11.00 am – 1.00 pm

Hackathon 2

1.00 – 2.00 pm

Lunch

2.00 – 3.00 pm

Large Language Models – Technical Basics and Impact on Patient Care
Kayhan Batmanghelich

3.00 – 4.00 pm

Coffee Break

4.00 – 7.00 pm

Hack in the Evening

Wednesday, 9th September 2026

8.30 – 10.30 am

Hackathon 3

10.30 – 11.00 am

Coffee Break

11.00 am – 12.00 pm

Open Research Datasets

Bjoern Menze

12.00 – 1.00 pm

Lunch

1.00 – 2.00 pm

Collaborative AI Research – Federated or Centralized

Horst Hahn

2.00 – 7.00 pm

Excursion

Thursday, 10th September 2026

8.30 – 9.30 am

Medicine and AI – How the Future might look like

Anja Hennemuth

9.30 – 10.30 am

How to build a Research Network

Miriam Gehrwig

10.30 – 11.00 am

Coffee Break

11.00 am – 12.00 pm

Artificial Intelligence in Nuclear Medicine

Song Xue

12.00 – 1.00 pm

Lunch

1.00 – 2.00 pm

Inside the Strategy of Creating a University

Veronika Schöpf

2.00 – 3.00 pm

AI in Neuroimaging

Gregor Kasprian

3.00 – 5.00 pm

Coffee Break

5.00 – 6.30 pm

Public Lecture

Ben Glocker

Industry Panel

Siegfried Meryn, Bianca Gerendas, Robert Deisz, F.-Michael Dahlweid, Heinrich von Busch

Friday, 11th September 2026

8.00 – 9.00 am

Securing DFG Funding and Designing a Research Proposal (online)
Laura Stappert

9.00 – 11.30 am

Hackathon 4 – Final Presentations

11.30 am – 12.30 pm

Career Paths

Gerlig Widmann

12.30 – 1.00 pm

Wrap-Up and Farewell

1.00 am – 2.00 pm

Lunch

With the support of our sponsors