Annekoos Schaap

Annekoos Schaap is a Doctoral Candidate at Eindhoven University of Technology's Department of Electrical Engineering, working within the Electronic Systems research group and Eindhoven MedTech Innovation Center. Supervised by Professor Sveta Zinger and Part-time Professor Danny Ruijters, her research bridges AI-driven medical imaging and clinical applications.

Her primary research interests focus on AI-powered medical image processing for healthcare optimization. Key areas include:

• Development of machine learning algorithms for cerebral aneurysm treatment
• Radiogenomic analysis linking MRI imaging with genomic/transcriptomic data
• Workflow automation to reduce cognitive load in medical interventions
• Non-invasive prostate cancer prognosis systems

Recent publications demonstrate her specialization in correlating quantitative imaging features with underlying genomic landscapes, particularly in prostate cancer research. Her work emphasizes clinical usability through reader studies and real-world implementation of AI-assisted procedural guidance systems. Current projects target reducing X-ray exposure and procedural time in minimally invasive interventions while improving diagnostic accuracy.

Annekoos is embedded in two key research ecosystems:

• Electronic Systems Group: Focusing on hardware/software co-design for medical applications
• Eindhoven MedTech Innovation Center: Translating engineering solutions to clinical practice