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.

PhD defense Maschenka Balkenhol
PhD defense Maschenka Balkenhol. Read more →

News

PhD defense Maschenka Balkenhol

PhD defense Maschenka Balkenhol

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 →

Impact of Scanners and Staining of WSIs on CNNs

Impact of Scanners and Staining of WSIs on CNNs

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 →

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Vacancies & Student projects

Vacancy

Deep learning for oncologic CT imaging

We are offering a PhD position for deep learning analysis of CT scans obtained from oncology patients.

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Vacancy

Deep learning for Prostate MRI Surveillance

We are offering a PhD position for developing deep learning solutions to detect prostate cancer on MRI scans.

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Student project

Automated detection of cranial arteriovenous shunts in 4D-CTA

Development of a deep learning algorithm for the detection of arteriovenous shunts.

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