Danny (Daniel) Ruijters is a part-time professor at the University of Technology Eindhoven (TU/e) on the topic of data driven value-based healthcare in image guided therapy, and works as a principal scientist at the innovation department of the Image Guided Therapy (IGT) business cluster of Philips Healthcare in Best, the Netherlands, where he leads the IGT workflow and procedure automation workstream. In this workstream, the data and AI infrastructure for the IGT business cluster is being developed, offering a rich data and AI development platform accessible to all partners. Furthermore, we are building the next generation of AI workflow automation by creating context awareness, leading to zero click interaction and allowing the clinical staff to focus on the patient instead of the technology.
Danny received his engineering degree at the University of Technology Aachen (RWTH), and performed his master thesis at ENST in Paris. Next to his work for Philips, he has performed a joint PhD thesis at the Katholieke Universiteit Leuven and the University of Technology Eindhoven (TU/e). His primary research interest areas are medical image processing, artificial intelligence, application of data techniques in interventional treatment, 3D visualization, image registration, fast algorithms and hardware acceleration.
He has acted as session chair during the 2006 WSCG conference and the 2008 Conference on Computer Graphics and Imaging (CGIM), was invited for the panel discussion of the 2008 MICCAI workshop on Augmented Environments for Medical Imaging and Computer-Aided Surgery (AMI-ARCS), and as progam committee member for the 2012, 2013 and 2016 International Congress on Image and Signal Processing (CISP 2012, 2013 and 2016).
He served as reviewer for:
More information can be found on my LinkedIn website.
I have made some source code available to perform high-quality cubic B-spline interpolation on the graphics hardware.