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September 2024 Cycle Report

1 Oct. 2024 by Chris van Run and Miriam Groeneveld

Introducing Interactive Algorithms & Enhanced Signup Features! We are excited to announce a new, groundbreaking feature: interactive algorithms! This feature allows readers to use algorithms in the context of a reader study. By calling on these algorithms for assistance, you can enhance both the speed and accuracy of your annotations. We’ve also enhanced the signup process for challenges. You can now gather more detailed information from participants at the point of registration, making it easier to tailor your challenge to specific needs and ensure the best possible engagement. To dive deeper into how these new features can benefit you, check out the full details in the blog post.

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July 2024 Cycle Report

22 July 2024 by Paul K. Gerke, Anne Mickan, Ammar Ammar and Harm van Zeeland

In July we developed a new feature for Cirrus which allows editors to load registration data for images in the viewer. We included support displacement fields and affine transform registrations. These can be assigned to images using the view-content section in reader studies, archive items, or algorithms.

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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!

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Spring Newsletter 2022

11 April 2022 by Megan Schuurmans, Anne Mickan, Joeran Bosma, Kiran Vaidhya Venkadesh, Bram van Ginneken, Khrystyna Faryna and Daan Schouten

Hi all! With this newsletter we want to update you on all progress made for Grand Challenge: new features, interesting new blogposts and algorithms, upcoming challenges and the leaderboards of finished challenges.

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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.

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