How to Design a Challenge

What makes a successful image analysis challenge? Join the MICCAI SIG for Challenges and Helmholtz Imaging for a joint webinar bringing together three experienced challenge organizers to share lessons learned from designing and running major challenges with different objectives and perspectives.

Speakers:

• Noel Codella (Microsoft) on Toward Aligning AI Benchmarks with Economic Value
• Ian Stavness (University of Saskatchewan) on Lessons Learned for Domain Generalization Competitions with the Global Wheat Dataset Competitions
• Alessa Hering (Radboud University Medical Center) on Designing Challenges for Foundation Models: Lessons Learned from UNICORN

The talks will be followed by a panel discussion shaped by questions from the community. We invite you to submit your questions in advance and help us identify the topics that matter most to challenge organizers and participants.

About MICCAI SIG for Challenges

The current gold standard for fair performance evaluation in the field of medical image analysis are international competitions (‘challenges’) enabling algorithmic benchmarking in a controlled environment while simulating real-world conditions. The mission of the Special Interest Group on Biomedical Image Analysis Challenges (SIG-Challenges) is to unite different societies and scientific communities to establish best practices and raise the level of quality in image analysis validation, with a special focus on biomedical image analysis challenges.

Learn more