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

• Jelmer van Lune, Stefano Mandija, Oscar van der Heide, Matteo Maspero, Martin B. Schilder, Jan Willem Dankbaar, Cornelis A.T. van den Berg, and Alessandro Sbrizzi. Quantitative mapping from conventional MRI using self-supervised physics-guided deep learning: Applications to a large-scale, clinically heterogeneous dataset. Medical Image Analysis, 2027.
• Martin Bastiaan Schilder, Edwin Versteeg, Stefano Mandija, Oscar van der Heide, Fei Xu, Jan Willem Dankbaar, Mervyn Driek Ingmar Vergouwen, Ynte Marije Ruigrok, Irene Schaaf, Cornelis Antonius Theodorus van den Berg, and Alessandro Sbrizzi. Feasibility of angiographic imaging using fast 3D Magnetic Resonance Spin TomogrAphy in Time-domain (MR-STAT). Magnetic Resonance Materials in Physics, Biology and Medicine, 2026.
• 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.

Keywords: MR-STAT | Clinical validation | Responsible innovation

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