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Author

M. Schilder

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Future proofing radiology workflows through MR-STAT and Artificial Intelligence

This PhD thesis investigates several interrelated bottlenecks in radiology: long MRI acquisition times, limited quantitative interpretability of conventional MRI, increasing radiologist workload, and challenges associated with emerging technologies such as AI into clinical practice. The central premise was that technic...

M. Schilder · 0 citations
Open access Oct 2026

Feasibility of angiographic imaging using fast 3D Magnetic Resonance Spin TomogrAphy in Time-domain (MR-STAT).

OBJECTIVE To investigate how angiographic information can be obtained from proton density (PD) maps reconstructed with a fast 3D Magnetic Resonance Spin TomogrAphy in Time-domain (MR-STAT) protocol, focusing on intracranial vessels and aneurysms in a clinically relevant population. MATERIALS AND METHODS This proof-of...

M. Schilder, E. Versteeg, S. Mandija et al. · 0 citations

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