Publications

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Conference Paper
M. Verhoye, Sijbers, J., Kooy, R. F., Reyniers, E., Fransen, E., Oostra, B. A., Willems, P. J., and Van Der Linden, A., MRI as a tool to study brain structure from mouse models of mental retardation, in Proceedings of SPIE Medical Imaging, San Diego, CA, USA, 1998, vol. 3337, pp. 314-320.
R. F. Kooy, Reyniers, E., Verhoye, M., Sijbers, J., Fransen, E., Van Camp, C., Cras, P., Oostra, B. A., Van Der Linden, A., and Willems, P. J., MRI as a tool to study brain structure from mouse models of mental retardation, in Abstracts of the 8th international workshop on Fragile X syndrome and X-linked mental retardation, Picton, Ontario, Canada, 1997.
S. Scataglini, Danckaers, F., Haelterman, R., Huysmans, T., and Sijbers, J., Moving Statistical Body Shape Models Using Blender, in Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018), Cham, 2019, pp. 28–38.
C. C. Sabino, Andrade, L. S., Tsang, I. R., Cavalcanti, G. D. C., Tsang, I. J., and Sijbers, J., Motion Compensation Techniques in Permutation-Based Video Encryption, in Proceedings of the 2013 IEEE International Conference on Systems, Man, and Cybernetics, Washington, DC, USA, 2013, pp. 1578–1581.
A. Bernat, Huysmans, T., Van Glabbeek, F., Sijbers, J., Bortier, H., and Gielen, J. L., Morphometric Study of the Human Clavicle for the Development of an Anatomical Plate, in 54th Annual Meeting of the Orthopaedic Research Society, San Francisco, Ca, United States, 2008.PDF icon Full text (578.18 KB)
E. Van de Casteele, Van Dyck, D., Sijbers, J., and Raman, E., Modelling of Beam hardening in micro CT, in IEEE International Symposium on Biomedical Imaging, Washington DC, USA, 2003, pp. 57-58.PDF icon Download full paper (163.52 KB)
E. Van de Casteele, Van Dyck, D., Sijbers, J., and Raman, E., A model-based correction method for beam-hardening artifacts in X-ray tomography, in 22nd Benelux Meeting on Systems and Control, Lommel, Belgium, 2003.
A. Leemans, Van Hecke, W., Lebel, C., Walker, L., Sijbers, J., and Beaulieu, C., A model based approach for voxelwise analysis of multi-subject diffusion tensor data, in Joint Annual Meeting ISMRM-ESMRMB, Berlin, 2007.
J. Renders, De Beenhouwer, J., and Sijbers, J., Mesh-based reconstruction of dynamic foam images using X-ray CT, in International Conference on 3D Vision (3DV2021), 2021, pp. 1312-1320.
T. Huysmans and Sijbers, J., Mesh smoothing through multiscale anisotropic diffusion of geometry images, in 13th European Microscopy Congress (EMC), Antwerp, Belgium, 2004.PDF icon Full text (414.55 KB)
W. Van Aarle, Ghysels, P., Sijbers, J., and Vanroose, W., Memory access optimization for iterative tomography on many-core architectures, in The 12th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2013, pp. 364-367.PDF icon fully3d_wvaarle.pdf (2.8 MB)
A. J. den Dekker, Sijbers, J., Verhoye, M., and Van Dyck, D., Maximum Likelihood estimation of the signal component magnitude in phase contrast MR images, in Proceedings of SPIE Medical Imaging, San Diego, California, USA, 1998, vol. 3338, pp. 408-415.
A. J. den Dekker and Sijbers, J., Maximum Likelihood estimation of signal amplitude and noise variance, in 13th IFAC Symposium on System Identification (SYSID-2003), Rotterdam, The Netherlands, 2003, pp. 126-131.
J. Rajan, Verhoye, M., and Sijbers, J., A maximum likelihood estimation method for denoising magnitude MRI using restricted local neighborhood, in SPIE Medical Imaging, 2011, vol. 7962.
J. Sijbers and den Dekker, A. J., Mapping a polyhedron onto a sphere: application to Fourier descriptors, in 22nd Benelux Meeting on Systems and Control, Lommel, Belgium, 2003.
V. Nguyen, De Beenhouwer, J., Sanctorum, J., Van Wassenbergh, S., Aerts, P., Dirckx, J. J. J., and Sijbers, J., A low-cost and easy-to-use phantom for cone-beam geometry calibration of a tomographic X-ray system, in 9th Conference on Industrial Computed Tomography, Padova, Italy, 2019.PDF icon Download paper (1.93 MB)
T. Roelandts, Batenburg, K. J., and Sijbers, J., Localizing DART using the Reconstructed Residual Error, in 1st International Conference on Tomography of Materials and Structures (ICTMS), Ghent, Belgium, 2013, vol. Book of Abstracts: Talks, pp. 113-116.PDF icon Download full paper (491.53 KB)
A. Leemans, Sijbers, J., Verhoye, M., and Van Der Linden, A., A Library of 3D synthetic DT-MRI models for testing White Matter fiber Tractography Algorithms, in 21th Annual Scientific Meeting - European Society for Magnetic Resonance in Medicine and Biology, Copenhagen, Denmark, 2004, p. 42.
N. Six, Renders, J., De Beenhouwer, J., and Sijbers, J., Joint reconstruction of attenuation, refraction and dark field X-ray phase contrasts using split Barzilai-Borwein steps, in SPIE Optical Engineering: Developments in X-Ray Tomography XIV , 2022, vol. 12242, p. 122420O.
N. Six, De Beenhouwer, J., Van Nieuwenhove, V., Vanroose, W., and Sijbers, J., Joint reconstruction and flat-field estimation using support estimation, in IEEE Nuclear Science Symposium and Medical Imaging Conference, Sydney, Australia, 2018.PDF icon Download paper (1.53 MB)
K. Van Slambrouck, Van Gompel, G., Defrise, M., Batenburg, K. J., Sijbers, J., and Nuyts, J., Iterative correction of beam hardening artifacts in CT, in The First International Conference on Image Formation in X-Ray Computed Tomography, 2010.
K. Zarei Zefreh, Welford, F. M., and Sijbers, J., Investigation on the effect of exposure time on scintillator afterglow for ultra-fast tomography acquisition, in 18th International Workshop on Radiation Imaging Detectors, Barcelona, Spain, 2016, vol. 11, p. C12014.PDF icon Download paper (482.36 KB)
K. Zarei Zefreh, De Beenhouwer, J., Welford, F. M., and Sijbers, J., Investigation on Effect of scintillator thickness on Afterglow in Indirect X-ray Detectors, in 6th Conference on Industrial Computed Tomography, Wels, Austria (iCT 2016), 2016.
J. Weissenböck, Fröhler, B., Gröller, E., Sanctorum, J., De Beenhouwer, J., Sijbers, J., Karunakaran, S. Ayalur, Hoeller, H., Kastner, J., and Heinzl, C., An Interactive Visual Comparison Tool for 3D Volume Datasets represented by Nonlinearly Scaled 1D Line Plots through Space-filling Curves, in 9th Conference on Industrial Computed Tomography, Padova, Italy, 2019.PDF icon Download paper (1.22 MB)
A. Leemans, Sijbers, J., Van den Broek, W., and Yang, Z., An Interactive Curvature Based Rigid-body Image Registration Technique: an Application to EFTEM, in 13th European Microscopy Congress, Antwerp, Belgium, 2004.

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