Jan Sijbers

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B. Shafieizargar, Jeurissen, B., Poot, D. H. J., Klein, S., Van Audekerke, J., Verhoye, M., den Dekker, A. J., and Sijbers, J., “ADEPT: Accurate Diffusion EPI with multi-contrast shoTs”, Magnetic Resonance in Medicine, vol. 89, no. 1, pp. 396-410, 2023.PDF icon Download paper (5.82 MB)
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J. Osstyn, Danckaers, F., Van Haver, A., Oramas, J., Vanhees, M., and Sijbers, J., “Automated virtual reduction of displaced distal radius fractures”, in IEEE International Symposium on Biomedical Imaging, Cartagena, Colombia, 2023, pp. 1-4.
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D. Giraldo, Smith, R. E., Struyfs, H., Niemantsverdriet, E., De Roeck, E., Bjerke, M., Engelborghs, S., Romero, E., Sijbers, J., and Jeurissen, B., “Comparison of diffusion kurtosis tensor imaging and multi-tissue CSD for the investigation of group differences in Alzheimer’s disease”, in International Society of Magnetic Resonance in Medicine (ISMRM), Toronto, ON, Canada, 2023.PDF icon Poster presented at ISMRM-Benelux 2023 (5.88 MB)
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N. Francken, Sanctorum, J., Renders, J., Paramonov, P., Sijbers, J., and De Beenhouwer, J., “A condensed history approach to x-ray dark field effects in edge illumination phase contrast simulations”, in 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2023.PDF icon Download paper (4.14 MB)
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L. F. Alves Pereira, De Beenhouwer, J., and Sijbers, J., “The Deep Steerable Convolutional Framelet Network for Suppressing Directional Artifacts in X-ray Tomosynthesis”, in 31st European Signal Processing Conference, EUSIPCO, 2023.
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M. Yosifov, Weinberger, P., Reiter, M., Fröhler, B., De Beenhouwer, J., Sijbers, J., Kastner, J., and Heinzl, C., “Defect detectability analysis via Probability of defect detection between traditional and deep learning methods in numerical simulations”, e-Journal of Nondestructive Testing, vol. 28, no. 3, 2023.PDF icon Download paper (2.37 MB)
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J. Renders, Shafieizargar, B., Verhoye, M., De Beenhouwer, J., den Dekker, A. J., and Sijbers, J., “DELTA-MRI: Direct deformation Estimation from LongiTudinally Acquired k-space data”, in IEEE International Symposium on Biomedical Imaging, 2023, pp. 1-4.
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L. - P. Lumbeeck, Paramonov, P., Sijbers, J., and De Beenhouwer, J., “Efficient iterative reconstruction with beam shape compensation for THz computed tomography”, Applied Optics, vol. 62, no. 17, pp. F31-F40, 2023.PDF icon Download paper (1.81 MB)
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N. Francken, Paramonov, P., Sijbers, J., and De Beenhouwer, J., “Enhancing industrial inspection with efficient edge illumination x-ray phase contrast simulations”, in IEEE EUROCON 2023 -20th International Conference on Smart Technologies, Torino, Italy, 2023.PDF icon eurocon_2023.pdf (8.52 MB)
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H. Khan, Giraldo, D., Beirinckx, Q., Sijbers, J., Lambin, P., Woodruff, H. C., and Peeters, L. M., “Exploring the Correlation between Disability Status and Brain Volumetric Measurements Using Real-World Retrospective Magnetic Resonance Images in People with Multiple Sclerosis”, Proceedings of the 9th Joint European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS) - Americas Committee for Treatment and Research in Multiple Sclerosis (ACTRIMS) Meeting. October 11-13, Milan, Italy, 2023.
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A. Presenti, Liang, Z., Alves Pereira, L. F., Sijbers, J., and De Beenhouwer, J., “Fast and accurate pose estimation of additive manufactured objects from few X-ray projections”, Expert Systems With Applications, vol. 213, no. 118866, pp. 1-10, 2023.
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B. Huyge, Sanctorum, J., Jeurissen, B., De Beenhouwer, J., and Sijbers, J., “Fiber Orientation Estimation from X-ray Dark Field Images of Fiber Reinforced Polymers using Constrained Spherical Deconvolution”, Polymers, vol. 15, no. 13, p. 2887, 2023.PDF icon Download paper (2.95 MB)
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P. - J. Vanthienen, Sanctorum, J., Huyge, B., Six, N., Sijbers, J., and De Beenhouwer, J., “Grating designs for cone beam edge illumination X-ray phase contrast imaging: a simulation study”, Optics Express, vol. 31, no. 17, pp. 28051-28064, 2023.
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J. Renders, Jeurissen, B., Nguyen, A. - T., De Beenhouwer, J., and Sijbers, J., “ImWIP: open-source image warping toolbox with adjoints and derivatives”, SoftwareX, vol. 24, p. 101524, 2023.PDF icon Download paper (1 MB)
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J. Morez, Szczepankiewicz, F., den Dekker, A. J., Vanhevel, F., Sijbers, J., and Jeurissen, B., “Optimal experimental design and estimation for q-space trajectory imaging”, Human Brain Mapping, vol. 44, no. 4, pp. 1793-1809, 2023.PDF icon Download paper (5.87 MB)
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T. Elberfeld, “Parametric Fiber Analysis for Glass Fiber-reinforced Composite Tomographic Images”, 2023.PDF icon Download PhD thesis (35.09 MB)
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S. Jillings, Pechenkova, E. V., Tomilovskaya, E., Rukavishnikov, I., Jeurissen, B., Van Ombergen, A., Nosikova, I., Rumshiskaya, A., Litvinova, L., Annen, J., De Laet, C., Schoenmaekers, C., Sijbers, J., Petrovichev, V., Sunaert, S., Parizel, P. M., Sinitsyn, V., P Eulenburg, zu, Laureys, S. S. L., Demertzi, A., and Wuyts, F. L., “Prolonged microgravity induces reversible and persistent changes on human cerebral connectivity”, Communications Biology, vol. 6, no. 46, 2023.
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J. Sijbers, De Beenhouwer, J., Ling, Y. - T., and Vandervorst, W., “A reconstruction method for atom probe tomography”, U.S. Patent 180175752023.
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A. - T. Nguyen, Renders, J., Sijbers, J., and De Beenhouwer, J., “Region-based motion-compensated iterative reconstruction technique for dynamic computed tomography”, in IEEE International Symposium on Biomedical Imaging (ISBI), Cartagena de Indias, Colombia, 2023.
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L. F. Alves Pereira, De Beenhouwer, J., and Sijbers, J., “Sparse-view Medical Tomosynthesis via Mixed Scale Dense Convolutional Framelet Networks”, in IEEE International Symposium on Biomedical Imaging (ISBI), 2023, pp. 880-884.
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D. Giraldo, Beirinckx, Q., den Dekker, A. J., Jeurissen, B., and Sijbers, J., “Super-resolution reconstruction of multi-slice T2-w FLAIR MRI improves Multiple Sclerosis lesion segmentation”, in 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Sydney, Australia, 2023.
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J. Van Houtte, “Surface and image-based registration methods with statistical modeling for biomedical applications”, 2023.PDF icon Download PhD thesis (29.72 MB)
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B. Shafieizargar, Byanju, R., Sijbers, J., Klein, S., den Dekker, A. J., and Poot, D. H. J., “Systematic review of reconstruction techniques for accelerated quantitative MRI”, Magnetic Resonance in Medicine, vol. 90, no. 3, pp. 1172-1208, 2023.PDF icon Download paper (2.91 MB)
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D. Frenkel, Six, N., De Beenhouwer, J., and Sijbers, J., “Tabu-DART: A dynamic update strategy for efficient discrete algebraic reconstruction”, The Visual Computer, vol. 39, pp. 4671–4683, 2023.PDF icon Download paper (2.31 MB)
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Z. Liang, Van Heteren, A., Sijbers, J., and De Beenhouwer, J., “Toward denoising of 3D CT scans with few data”, e-Journal of Nondestructive Testing, vol. 28, no. 3, 2023.PDF icon Download paper (5.93 MB)

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