Background

Bas Schilder received his Bachelor’s (2018) and Master’s (2023) degree in Technical Medicine from the University of Twente. During his Master’s, he did the Medical Imaging and Intervention track and throughout his internships he focussed on medical imaging, oncology and the potential role of artificial intelligence in Radiology. His Master’s project was on denoising and artefact removal in MR Spectroscopy using deep learning and wavelet analysis.

Currently, Bas works as a PhD student in the Computational Imaging Group under the supervision of Alessandro Sbrizzi and Nico van den Berg. His work focusses on clinical validation of MR-STAT and responsible innovation.

Projects

• MR-STAT

Most recent publications

• Martin B. Schilder, Elon D. Wallert, Stefano Mandija, Oscar van der Heide, Hongyan Liu, Miha Fuderer, Edwin Versteeg, Jan Booij, Rob M. A. Bie, Martijn Beudel, Henk W. Berendse, Tom Mierlo, Jeroen Blankevoort, Cornelis A. T. van den Berg, Elsmarieke Giessen, and Alessandro Sbrizzi. Mapping Neurodegenerative Changes in Clinically Uncertain Parkinsonian Syndrome Patients Using FastMRSpinTomogrAphyin Time‐Domain (MR‐STAT) Relaxometry at 3T. Journal of Magnetic Resonance Imaging, 2026.
• Martin Bastiaan Schilder, Alexandra Keyser, Susan Hees, Alessandro Sbrizzi, and Wouter Pieter Christiaan Boon. Anticipating Moral and Economic Considerations, Opportunities, and Potential Frictions for AI in Medical Imaging: Multistakeholder Cocreation Study. Journal of Medical Internet Research, 2026.
• Susan V. Hees, Martin B. Schilder, Alexandra Keyser, Alessandro Sbrizzi, Jordi P.D. Kleinloog, and Wouter P.C. Boon. Exploring scenarios for implementing fast quantitative MRI. European Journal of Radiology Open, 2025.

Keywords: MR-STAT | Clinical validation | Responsible innovation

Social media and other resources
Email: m.b.schilder-2@umcutrecht.nl | Google Scholar | LinkedIn