Diagnostic Image Analysis Group

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 receive Hanarth Foundation grant to improve detection of diffuse gastric cancer
Francesco Ciompi and Chella van der Post receive Hanarth Foundation grant to improve detection of diffuse gastric cancer. Read more →

News

Third edition AI for Health course

Third edition AI for Health course

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 →

All news

Vacancies & Student projects

Vacancy

PhD candidate ‘Development of explainable AI methods for end-to-end-learning with gigapixel images in the BigPicture consortium’

PhD position for developing novel, explainable machine learning algorithms for end-to-end learning with gigapixel pathology images in collaboration with the BigPicture consortium

More information

Vacancy

PhD candidate ‘Improving care for prostate cancer patient through AI-driven radiology/pathology fusion’

PhD position for developing algorithms to fuse pathology/radiology for improve prostate cancer diagnostics.

More information

Student project

Automated Detection of Developmental Hip Dysplasia

Project aimed at development of deep learning algorithms for automated detection developmental hip dysplasia.

More information