Silvan Quax

Silvan Quax completed a BSc in Physics at the University of Utrecht and a MSc in Physics at the Radboud University. He did a PhD in the Artificial Cognitive Systems group of the Donders Institute under the supervision of Prof. dr. Marcel van Gerven, where he investigated the mechanisms that modulate our perception using neural network models. In April 2020 he joined the Radboudumc Technology Center (RTC) Deep Learning as AI Scientist and Lab Manager of the AI for Health ICAI lab and since January 2024 he is the coordinator of the RTC Deep Learning. The RTC Deep Learning leverages the expertise of the Diagnostic Image Analysis Group in using machine learning, specifically deep learning, to analyze images and other medical data. The RTC Deep Learning functions as the main portal for all questions regarding the use of deep learning in the Radboudumc and can provide expert guidance and services for big data analysis and deep learning, specifically in the field of image analysis but also on predictive analytics in general.

Current research projects:

• Automated Detection and Grading of Hip Osteoartritis

Finished research projects:

• Automated AAA detection on CT scans
• Automated landmark detection on lateral headplates for orthodontic diagnosis
• Few-shot learning for medical image segmentation
• Machine Learning in Acute Care: Liver & Spleen

Member of:

• RTC Deep Learning
• Diagnostic Image Analysis Group
• CARA Lab