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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.

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Create an Algorithm container

11 Feb. 2021 by Kiran Vaidhya Venkadesh, James Meakin, Bram van Ginneken, Khrystyna Faryna, Jasper Van Der Graaf and Joeran Bosma

This blog post describes how you can encapsulate your algorithm in a Docker container and upload it to grand-challenge.org

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How to build a global, scalable, low-latency, and secure machine learning medical imaging analysis platform on AWS

24 Aug. 2020 by Razvan Ionasec, Bram van Ginneken and James Meakin

It is hard to imagine the future for medical imaging without machine learning (ML) as its central innovation engine. Countless researchers, developers, start-ups, and larger enterprises are engaged in building, training, and deploying machine learning solutions for medical imaging that are posed to transform today’s medical workflows and the future value of imaging in diagnosis and treatment.

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