The Diagnostic Image Analysis Group is part of the Departments of Imaging, Pathology, Ophthalmology, and Radiation Oncology of Radboud University Medical Center. We develop computer algorithms to interpret and process medical images.
Francesco Ciompi and Chella van der Post have been awarded 400,000 euros for the execution of their project aimed to develop AI solutions for improving DGC diagnostics. Read more →
In this project, we aim to maximize lung cancer screening efficiency by developing prediction models to 1) optimize screenee selection, and 2) limit unnecessary nodule work-up. Read more →
Applications for The third edition of the AI for Health course, starting on the 11th of February 2022 are now open. Please apply before the 17th of December to join the course. The AI for Health program aims to advance AI innovations in healthcare, by providing an AI course for … Read more →
Colin Jacobs and team compared AI algorithms from public competition with a panel of 11 radiologists. This work appeared in Radiology: Artificial Intelligence. Read more →
PhD position for developing novel, explainable machine learning algorithms for end-to-end learning with gigapixel pathology images in collaboration with the BigPicture consortium
PhD position for developing algorithms to fuse pathology/radiology for improve prostate cancer diagnostics.
Project aimed at development of deep learning algorithms for automated detection developmental hip dysplasia.
