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Jan Sijbers

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Thesis

J. Morez, “Accurate and precise parameter estimation for diffusion magnetic resonance imaging”, 2026.

M. Yosifov, “Advancement of Defect Detection and Quantifying Measurement Uncertainty in X-Ray CT Inspection”, 2026.

J. Sanctorum, “Advances in Monte Carlo simulations for the design of X-ray phase contrast imaging systems”, 2026.

Downloald thesis (17.67 MB)

Journal Article

S. Aerts, Werthen-Brabants, L., Khan, H., Giraldo, D., De Brouwer, E., Geys, L., Popescu, V., Sijbers, J., Woodruff, H. C., Dhaene, T., Deschrijver, D., Van Wijmeersch, B., Lambin, P., and Peeters, L. M., “Combining magnetic resonance imaging and evoked potentials enhances machine learning prediction of multiple sclerosis disability worsening”, Frontiers in Immunology, vol. 17, 2026.

Conference Paper

J. Verstraete, Francken, N., Sijbers, J., and De Beenhouwer, J., “Cycloidal Acquisition for Inline Edge Illumination X-ray Phase Contrast Computed Tomography: A Simulation Study”, in 15th Conference on Industrial Computed Tomography (iCT), Linz, Austria, 2026, vol. 31.

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Journal Article

C. Smekens, Van Dyck, P., Fuchs, P. S., Sijbers, J., Janssens, T., and Jeurissen, B., “Data-driven characterization of knee structures using non-negative matrix factorization of 3D multi-echo UTE MRI”, NMR in Biomedicine, vol. 39, no. 6, 2026.

Thesis

B. Huyge, “Edge illumination phase contrast imaging with continuous motion”, 2026.

Journal Article

C. Bossuyt, den Dekker, A. J., Iuso, D., De Beenhouwer, J., and Sijbers, J., “Framework for optimal design of a multi-source rectangular X-ray cargo scanning system”, Radiation Physics and Chemistry, vol. 239, p. 113332, 2026.

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K. Duquesne, Adris, M., Huysentruyt, R., Van Oevelen, A., Li, J., Sijbers, J., Van Paepegem, W., and Audenaert, E., “From Skin to Skeleton: A Statistical Shape Modelling Approach for Predicting Hand and Foot Bony Geometry”, Annals of Biomedical Engineering, vol. 54, no. 1, pp. 284-302, 2026.

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Conference Paper

J. G. Sanctorum, De Samber, B., Paramonov, P., De Beenhouwer, J., and Sijbers, J., “GEO-ASTRA: a toolbox for non-conventional XCT scanning and reconstruction”, in 15th Conference on Industrial Computed Tomography (iCT), 10 - 13 February 2026, Linz, Austria (iCT 2026), e-Journal of Nondestructive Testing, 2026, vol. 31 (3).

J. Verstraete, Francken, N., Sijbers, J., and De Beenhouwer, J., “Inline Edge Illumination Computed Tomography: A Simulation Study”, in 2026 IEEE 23rd Mediterranean Electrotechnical Conference (MELECON), Cairo, Egypt, 2026.

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Conference Paper

J. G. Sanctorum, Bekaert, N., Witteveen, W., Potters, G., Sijbers, J., and De Beenhouwer, J., “Towards X-ray-based inspection of corrosion in maritime infrastructure”, in 15th Conference on Industrial Computed Tomography (iCT), 10 - 13 February 2026, Linz, Austria (iCT 2026) Special Issue of e-Journal of Nondestructive Testing (eJNDT) ISSN 1435-4934 , 2026, vol. 31(3).

N. Francken, Sanctorum, J., Huyge, B., Sijbers, J., and De Beenhouwer, J., “Correcting for focal spot drift in edge illumination X-ray phase contrast imaging”, in 14th Conference on Industrial Computed Tomography (iCT), 4 - 7 February 2025, Antwerp, Belgium, 2025.

Journal Article

J. Merckx, den Dekker, A. J., Sijbers, J., and De Beenhouwer, J., “DAMMER: Direct Adaptive Multi-resolution MEsh Reconstruction from X-ray measurements”, IEEE Transactions on Computational Imaging , vol. 11, pp. 926 - 941, 2025.

C. Smekens, Beirinckx, Q., Bosmans, F., Vanhevel, F., Snoeckx, A., Sijbers, J., Jeurissen, B., Janssens, T., and Van Dyck, P., “Deep Learning-Enhanced Accelerated 2D TSE and 3D Super-Resolution Dixon TSE for Rapid Comprehensive Knee Joint Assessment”, Investigative Radiology, vol. 60, no. 3, pp. 220-233, 2025.

M. Yosifov, Lang, T., Florian, V., Gerth, S., De Beenhouwer, J., Sijbers, J., Kastner, J., and Heinzl, C., “Degradation Detection in Rice Products via Shape Variations in XCT Simulation-Empowered AI”, Journal of Nondestructive Evaluation, vol. 44, no. 10, 2025.

Conference Paper

J. Van der Rauwelaert, Bossuyt, C., and Sijbers, J., “Dual Domain Swin Transformer based Reconstruction method for Sparse-View Computed Tomography”, in iCT 2025 - 14th Conference on Industrial Computed Tomography (iCT), 4 - 7 February 2025, Antwerp, Belgium, 2025.

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Thesis

N. Francken, “Edge illumination X-ray phase contrast imaging: Advancements in simulations and inline acquisitions”, 2025.

Journal Article

B. Huyge, Francken, N., Sanctorum, J., Sanctorum, J., De Beenhouwer, J., and Sijbers, J., “Edge illumination X-ray phase contrast imaging with continuous mask motion”, Optics Express, vol. 33, no. 19, pp. 41271-41286, 2025.

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N. Francken, Sanctorum, J., Huyge, B., Sijbers, J., and De Beenhouwer, J., “Efficient X-ray dark field contrast simulations using a condensed history approach”, Optics Express, vol. 33, no. 2, pp. 3562-3576, 2025.

Conference Abstract

J. Lüken, Fleischmann, C., Sijbers, J., and De Beenhouwer, J., “Enhancing AdAPTS: Fast Field Evaporation Simulation with Parametric Local Electrodes for Atom Probe Tomography”, APT&M. 2025.

Conference Paper

P. Paramonov, Sanctorum, J. G., Danckaers, F., De Beenhouwer, J., and Sijbers, J., “Exact reconstruction for helical cone-beam X-ray CT using the ASTRA toolbox”, in 10th International Symposium on Digital Industrial Radiology and Computed Tomography, 1 – 3 July 2025 in Paris, France (DIR 2025), 2025, vol. 30(8).

dir2025-shortpaper-p_paramonov-we3a3.pdf (290.68 KB)

Journal Article

P. - J. Vanthienen, Francken, N., Sanctorum, J., Sijbers, J., and De Beenhouwer, J., “Gratings for multiresolution edge illumination X-ray phase contrast imaging: concept and simulation”, Optics Express, vol. 33, no. 8, pp. 17886-17902, 2025.

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