Data-Efficient Challenges in Visual Inductive Priors: A Retrospective
2025arXiv preprint
AI Research & Engineering
Building AI systems at the intersection of computer vision and language models, translating research into practical healthcare solutions that improve clinical decision-making and patient care.
News
All Updates →Organized the second edition of Masterclass AI at HagaZiekenhuis on April 15, featuring Vaisha Bernard, Chief Hacker at Eye Security and the #1 Most Valuable Researcher in Microsoft’s recognition program in 2025, who explored both sides of the coin: defence and attack.
Taught a guest lecture on Object Detection in the Computer Vision by Learning Master’s course at TU Delft.
Organizing the first edition of Masterclass AI in 2026 at HagaZiekenhuis on January 22, featuring Google Healthcare experts Eric Zwanenburg and Daphne van Beek presenting on AI innovations in Dutch healthcare and live demonstrations of clinical AI tools including NotebookLM.
Organizing Masterclass AI at HagaZiekenhuis on Entrepreneurship and AI Adoption, featuring Prof. Han Gerrits on improving business processes with AI and Dr. Ivo Van Der Bilt on AI and smartwatch technology in treating heart disease.
Our team was selected to present Room-CanCell at the Solve with Google Hackathon for the BeatSuite case—an AI-driven patient room automation system for Prinses Máxima Centrum that responds to pediatric cancer patients’ vitals in real-time.
Selected Work
View Archive →Multi-agent system helping healthcare workers quickly access institutional knowledge across hospital operations
Challenging the assumption of translation invariance in convolutional neural networks
Studying how object detectors can hallucinate non-existent parts with the DelftBikes dataset
Simulated 3D hospital room that responds to patient vitals in real-time for pediatric cancer care
Recent Publications
All Publications →arXiv preprint
ECCV 2024 Workshops
ICCV 2023 Workshops