Cost-effectiveness studies may help answer that question. One of the first studies on this topic for AI has been published this week in Insights into Imaging. Read more →
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.
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 →
Vacancies & Student projects
We are offering a PhD position to develop real-time AI analysis of handheld ultrasound to bring affordable prenatal screening to developing countries.
Are you a creative researcher with a MSc degree in Medicine, Technical Medicine, Biomedical Sciences or similar? Do you want to contribute to the fight against lung cancer and help to optimize lung cancer screening by using artificial intelligence? Then we are looking for you!
Are you a creative researcher with a PhD degree in medical image analysis, computer vision, machine learning or similar? Are you looking for an opportunity to develop cutting-edge deep learning technology to have an impact on cancer research and personalized cancer treatment? Then we are looking for you!