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

• 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.
• Martin B. Schilder, Stefano Mandija, Sarah M. Jacobs, Jordi P. D. Kleinloog, Hanna Liu, Oscar van der Heide, Beyza Köktaş, Federico D’Agata, Vera C. W. Keil, Evert-Jan P. A. Vonken, Jan Willem Dankbaar, Jeroen Hendrikse, Tom J. Snijders, Cornelis A. T. van den Berg, Anja G. Kolk, and Alessandro Sbrizzi. Fast whole brain relaxometry with Magnetic Resonance Spin TomogrAphy in Time-domain (MR-STAT) at 3 T: a retrospective cohort study. Magnetic Resonance Materials in Physics, Biology and Medicine, 2025.
• Hongyan Liu, Edwin Versteeg, Miha Fuderer, Oscar van der Heide, Martin B. Schilder, Cornelis A. T. van den Berg, and Alessandro Sbrizzi. Time‐efficient, high‐resolution 3T whole‐brain relaxometry using Cartesian 3D MR Spin TomogrAphy in Time‐Domain (MR‐STAT) with cerebrospinal fluid suppression. Magnetic Resonance in Medicine, 2024.

Keywords: MR-STAT | Clinical validation | Responsible innovation

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