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.
Geert Litjens has been awarded a Vidi grant worth 800,000 euros by the Dutch Research Council. He will investigate AI solutions for prostate cancer by combining radiology and pathology images. Read more →
Anindo Saha and Matin Hosseinzadeh, led by Henkjan Huisman, investigate state-of-the-art practices across recent literature and harmonize their findings into an automated 3D detection/diagnosis model for clinically significant prostate cancer in MRI. Read more →
Cristina González Gonzalo (Radboudumc/UvA), Gerda Bortsova (Erasmus MC) and Suzanne Wetstein (TU Eindhoven) study previously unexplored factors affecting adversarial attack vulnerability of deep learning medical image analysis systems in three medical domains: ophthalmology, radiology, and pathology. Read more →
David Tellez succesfully defended his PhD thesis with the title 'Advancing computational pathology with deep learning: from patches to gigapixel image-level classification'. Read more →
We are offering a PhD position to develop real-time AI analysis of handheld ultrasound to bring affordable prenatal screening to developing countries.
We want to develop a robust deep learning algorithm for automated detection of abdominal aorta aneurysms in CT scans.
Dive into the world of AI marketplaces (read: the app-stores for radiology AI). What differentiates them? What impact will they have on the future of radiology?
