Diagnostic Image Analysis Group

The Diagnostic Image Analysis Group is part of the Departments of Radiology and Nuclear Medicine, Pathology, and Ophthalmology of Radboud University Medical Center. We develop computer algorithms to aid clinicians in the interpretation of medical images and thereby improve the diagnostic process.

The group has its roots in computer-aided detection of breast cancer in mammograms, and we have expanded to automated detection and diagnosis in breast MRI, ultrasound and tomosynthesis, chest radiographs and chest CT, prostate MRI, neuro-imaging and the analysis of retinal and digital pathology images. The technology we primarily use is deep learning.

It is our goal to have a significant impact on healthcare by bringing our technology to the clinic. We are therefore fully certified to develop, maintain, and distribute software for analysis of medical images in a quality controlled environment (MDD Annex II and ISO 13485).

On this site you find information about the history of the group and our collaborations, an overview of people in DIAG, current projects, publications and theses, contact information, and info for those interested to join our team.


March, 2019


Coronary artery calcium (CAC) and thoracic aorta calcium (TAC) scores derived from chest computed tomography might be useful biomarkers for individualized cardiovascular disease prevention and could be especially relevant in high-risk populations such as heavy smokers. DIAG's Nikolas Lessmann and a team from the UMC Utrecht investigated the prevalence and extent of CAC and TAC in male and female heavy smokers and assessed the difference in the association of CAC and TAC with cardiovascular and all-cause mortality in both groups. Convolutional neural networks were used to automatically detect and label calcifications according to the affected vascular bed, which enabled the inclusion of a large study population. Depicted in the bar diagram above are the median CAC and TAC volume in men (blue) and women (red) in different age groups; CAC was more common and more severe in men and developed later in women, but TAC developed equally in both sexes. More about the associations with cardiovascular mortality can be found in the paper that was published in JACC: Cardiovascular Imaging.

More Research Highlights.


  • March 18, 2020 - The defense of Midas Meijs' PhD thesis titled 'Automated Image Analysis and Machine Learning to Detect Cerebral Vascular Pathology in 4D-CTA' has been postponed because of COVID19. A new date will follow.

More News.