Rate My Professor Jan Sijbers

Jan Sijbers is a full professor at the University of Antwerp in the Department of Physics, serving as head of the imec-Vision Lab since 2014. He holds a PhD in Physics from the University of Antwerp, with a thesis entitled 'Signal and Noise Estimation from Magnetic Resonance Images.' His academic career at the University of Antwerp includes progression to full professorship, complemented by a 10% position as Research Director at imec. In the Medicine domain, Sijbers specializes in biomedical image reconstruction, processing, and analysis, with primary focus on Magnetic Resonance Imaging (MRI) and X-ray Computed Tomography (CT). His research encompasses development of novel methods for diffusion MRI (DTI, DWI, DKI), white matter tractography, functional MRI (fMRI), noise estimation and reduction, iterative and analytic reconstruction for CT, artifact reduction (beam hardening, ring, motion), discrete tomography, model-based reconstruction, dual energy CT, and dynamic imaging applications. Sijbers leads the Vision Lab research team, driving advancements in quantitative imaging for neuroscience, materials science, and industrial inspection.

As Senior Area Editor of IEEE Transactions on Image Processing and Associate Editor of IEEE Transactions on Computational Imaging, Sijbers contributes to editorial leadership in the field. He is co-founder of spin-off companies IcoMetrix and Deltaray, translating research into practical imaging solutions. His scholarly impact is evidenced by over 30,000 citations on Google Scholar. Representative publications include 'Combining magnetic resonance imaging and evoked potentials enhances machine learning prediction of multiple sclerosis disability worsening' (2026, Frontiers in Immunology), 'Advancement of defect detection and quantifying measurement uncertainty in X-ray CT inspection' (2026, University of Antwerp), 'Edge illumination phase contrast imaging with continuous motion' (2026, University of Antwerp), and 'Accurate and precise parameter estimation for diffusion magnetic resonance imaging' (2026, University of Antwerp). Sijbers directs multiple funded projects, such as the Alliance for multidimensional and multidisciplinary neuroscience (µNEURO), Training the next generation of research experts on dynamic X-ray imaging (X-CELERATE), Improving QMRI By Realizing trustworthy integration of AI in Neuro-imaging (IQ-BRAIN), and Center for 4D quantitative X-ray imaging and analysis (DynXlab), fostering innovations in quantitative biomedical and industrial imaging.