Remove Filters

Filters included 9 of 41 total posts

How to run a challenge? MICCAI webinar on Oct 25th 2022

20 Oct. 2022 by Anne Mickan, Kiran Vaidhya Venkadesh and Bram van Ginneken

The MICCAI Special Interest Group (SIG) for Challenges is hosting a webinar on How to run a challenge? on Oct 25th, 2022 at 1 pm GMT. Bram van Ginneken, Kiran Vaidhya Venkadesh, and Anindo Saha will present how to use Grand Challenge for organizing high-profile challenges. Jake Albrecht from Sage will present tips for challenge organizers on how to define a successful community challenge. Join us! Free registration is available at

Read More

STOIC2021 results webinar

12 Oct. 2022 by Luuk Boulogne and Bram van Ginneken

On October 18th at 3pm CEST, the winners of STOIC2021 will receive their prizes and present their solutions!

Read More

AIROGS Challenge Report: AI models can be used for glaucoma screening, but do they know when they cannot?

10 May 2022 by Coen de Vente, Bram van Ginneken, Megan Schuurmans, Clarisa Sanchez and Hans Lemij

The rationale behind the Artificial Intelligence for RObust Glaucoma Screening (AIROGS) Challenge, an overview of its results and our experiences with Grand Challenge's new Type 2 challenges.

Read More

Can AI predict breast cancer recurrence via automated quantification of tumor-infiltrating lymphocytes?

6 March 2022 by Francesco Ciompi, Anne Mickan, Bram van Ginneken, Alexander Lemm, Roberto Salgado and Megan Schuurmans

TIGER is the first challenge on fully automated assessment of tumor-infiltrating lymphocytes (TILs) in hematoxylin and eosin (H&E) breast cancer histopathology slides. With TIGER, we released a training set of 390 whole-slide images and a total award of $13,000 in AWS Credits, which will be awarded to the winning teams. Together with its participants, we aim to find the best AI-based solutions for automating the assessment of the TILs and produce a “TILs score” that can predict the recurrence of breast cancer.

Read More

Can you predict who will develop severe COVID-19 from a chest CT scan?

16 Dec. 2021 by Bram van Ginneken, Alexander Lemm, Luuk Boulogne and Anne Mickan

Last week, we opened STOIC2021: A COVID-19 AI challenge with 10,000 CT scans. Together with its participants, we aim to find the best solution for predicting who will develop severe COVID-19 from a chest CT scan. We will make the final solution easily accessible for everyone. In total, $20,000 in AWS Credits will be awarded to the winning teams.

Read More

AI challenges, data, and algorithms

4 March 2021 by Bram van Ginneken

Presentation by Bram van Ginneken held during the European Congress of Radiology 2021 on the how and why of challenges in medical image analysis.

Read More

Why Challenges?

14 Feb. 2021 by Keelin Murphy and Bram van Ginneken

This is an updated version of blog post made years ago when we launched our platform It makes the case for challenges and provides some advice for those interested in setting up their own challenge.

Read More