Daniel Ruijters

Daniel Ruijters is a part-time Full Professor in the Electronic Systems department at Eindhoven University of Technology (TU/e), specializing in data-driven value-based healthcare for image-guided therapy. His research develops intelligent systems that optimize data utilization in minimally invasive treatments, translating population datasets to individual patient care. He simultaneously serves as a Principal Scientist at Philips Healthcare, where he has worked since 2001, developing clinical prototypes for image-guided interventions.

Education

• Engineering degree from University of Technology Aachen, Germany (2001)
• Master's research at École Nationale Supérieure des Télécommunications (ENST), ParisTech, France
• PhD from TU/e and KU Leuven (2010) on multi-modal image fusion

Research Focus

Ruijters' work integrates medical imaging, deep learning, and computational modeling to advance image-guided interventions. His research spans GPU-accelerated image processing, angiography-based diagnostics, computational fluid dynamics for vascular analysis, and AI-driven detection systems for neurovascular procedures. This includes developing real-time tracking methods and personalized treatment approaches using large-scale clinical datasets.

Projects & Initiatives

He leads the PERSEUS project (2023-2029) focusing on patient-centered healthcare optimization through data science. His work contributes to UN Sustainable Development Goals through improved medical technology accessibility.

Academic Contributions

Ruijters teaches courses in DSP fundamentals, medical image analysis, and signal processing. His 90+ publications demonstrate consistent output since 2003, with recent emphasis on deep learning applications in angiography and computational hemodynamics.