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.
Maschenka Balkenhol succesfully defended her PhD thesis titled 'Tissue-based biomarker assessment for predicting prognosis of triple negative breast cancer: the additional value of artificial intelligence' on the 15th of September. Read more →
The impact of scanner variations and stain normalization on CNN performance for prostate cancer classification on WSIs was investigated by Zaneta Swiderska-Chadaj and their colleagues, and the work was published in Nature Scientific Reports. Read more →
We are offering a PhD position for deep learning analysis of CT scans obtained from oncology patients.
We are offering a PhD position for developing deep learning solutions to detect prostate cancer on MRI scans.
Development of a deep learning algorithm for the detection of arteriovenous shunts.
