The European Society of Radiology (ESR) in cooperation with the European Institute for Biomedical Imaging Research (EIBIR) invites applications for the Pixel Pandemonium at ECR 2025.

The purpose of this program is to provide a platform to showcase up-and-coming AI and ML tools for medical imaging to a large audience of end users at an early stage for valuable hands-on experiences and feedback for all stakeholders.

Pixel Pandemonium is looking for demos of exciting AI/ML technology in the medical imaging sphere. We want to see what is cooking in the kitchen, what is coming, and what might have an impact in the next couple of years! We would like to see cutting-edge ML ranging from methods that have not yet found an application in radiology to those that address a clear problem.

Demos for the exhibition can include software, robots, or combinations of software and hardware technology.

We encourage submission from both academia and industry. Demos should show cutting edge technology. They must not show any products, or product features.

Objectives

  • Connect the AI/ML and radiology communities
  • Show cutting-edge demos of novel Al/imaging technology that is „cooking in the kitchen” (academic, industrial) – not yet a product but impressive results
  • Promote interaction bringing the Al research community closer
  • Foster joint research and a path to utility in radiology for AI/ML based on early technology and its communities

Selected applications will receive a free registration for ECR 2025.

Organisers

The Pixel Pandemonium call for submission is organised by:

Georg Langs
Medical University of Vienna

Julia Schnabel
Helmholtz Munich / Technical University of Munich

Horst Hahn
Fraunhofer MEVIS

The organisers will review the submissions.

The Pixel Pandemonium Exhibition is endorsed by the Medical Image Computing and Computer Assisted Intervention Society MICCAI.

Key Dates

September 30, 2024: Call for submission opens

December 13, 2024: Deadline for submissions

January 17, 2025: Applicants will be informed