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Conference Paper
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)
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.
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)
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)
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.
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.
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.
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.
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)
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)
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.
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.
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)
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)
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.
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.
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.
W. Van Hecke, Leemans, A., De Backer, S., Vandervliet, E., Parizel, P. M., D'Agostino, E., and Sijbers, J., Multi-channel coregistration of diffusion tensor images based on a viscous fluid model, in Belgian Day on Biomedical Engineering - IEEE/EMBS Benelux Symposium, Brussels, Belgium, 2006, pp. 139-142.
T. Huysmans, Danckaers, F., Vleugels, J., Lacko, D., De Bruyne, G., Verwulgen, S., and Sijbers, J., Multi-patch B-Spline Statistical Shape Models for CAD-Compatible Digital Human Modeling, in Advances in Human Factors in Simulation and Modeling, Cham, 2019, pp. 179–189.
A. Leemans and Sijbers, J., Multiresolutional rigid-body registration for space curves, in IEEE Advanced Concepts for Intelligent Vision Systems, Brussels, Belgium, 2004, pp. 215-221.
P. Scheunders and Sijbers, J., Multiscale anisotropic filtering of color images, in Proceedings of the IEEE International Conference on Image Processing, Thessaloniki, Greece, 2001, vol. 3, pp. 170-173.
J. Bertels, Huysmans, T., Sijbers, J., Verdonk, B., and Parizel, P. M., Multi-scale registration of spherical parametrizations of the human cortex, in 23rd Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology, Warsaw, Poland, 2006, p. 89.PDF icon Full text (116.08 KB)
P. Scheunders and Sijbers, J., Multiscale watershed segmentation of multivalued images, in Proc. ICPR02, International Conference on Pattern Recognition, Quebec, Canada, 2002, vol. 3, pp. 855-858.
A. Leemans, Sijbers, J., De Backer, S., Vandervliet, E., and Parizel, P. M., Multiscale white matter fiber tract coregistration: a new feature-based approach to align diffusion tensor data, in 14th Scientific Meeting - International Society for Magnetic Resonance in Medicine, Seattle, USA, 2006, p. 437.