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Conference Paper
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.
B. Shafieizargar, Jeurissen, B., Poot, D. H. J., den Dekker, A. J., and Sijbers, J., Multi-contrast multi-shot EPI for accelerated diffusion MRI, in 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2021, pp. 3869-3872.
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.
P. Bladt, Van Steenkiste, G., Ramos-Llordén, G., den Dekker, A. J., and Sijbers, J., Multi-voxel algorithm for quantitative bi-exponential MRI T1 estimation, in SPIE Medical Imaging, San Diego, California, United States of America, 2016, vol. 9784, p. 978402.PDF icon Download paper (624.23 KB)
E. Janssens, De Beenhouwer, J., Van Dael, M., Verboven, P., Nicolai, B., and Sijbers, J., Neural Network Based X-Ray Tomography for Fast Inspection of Apples on a Conveyor Belt, in IEEE International Conference on Image Processing, 2015, pp. 917-921.
R. F. Kooy, Reyniers, E., Verhoye, M., Sijbers, J., Oostra, B. A., Willems, P. J., and Van Der Linden, A., Neuroanatomy of the fragile X knockout mouse brain studied using high-resolution MRI, in 48th Annual Meeting of the American Society of Human Genetics, Denver, CO (USA), 1998, p. 1918.
G. Van Gompel, Van Dyck, D., Tisson, G., and Sijbers, J., A new algorithm for Region Of Interest Tomography, in 19th Annual Symposium of the Belgian Hospital Physicists Association, 2004.
G. Van Gompel, Tisson, G., Van Dyck, D., and Sijbers, J., A new algorithm for Region Of Interest Tomography, in SPIE Medical Imaging: Image Processing, San Diego, California, USA, 2004, vol. 127, pp. 2105-2113.PDF icon Download paper (624.91 KB)
J. Rajan, den Dekker, A. J., Juntu, J., and Sijbers, J., A New Nonlocal Maximum Likelihood Estimation Method for Denoising Magnetic Resonance Images, in 5th International Conference, PReMI 2013, Kolkata, India, December 10-14, 2013. Proceedings, 2013, Lecture Notes in Computer Science., vol. 8251.
N. Six, Renders, J., Sijbers, J., and De Beenhouwer, J., Newton-Krylov Methods For Polychromatic X-Ray CT, in 2020 IEEE International Conference on Image Processing (ICIP), Abu Dhabi, 2020, pp. 3045-3049.
J. Sijbers, Scheunders, P., Van Dyck, D., and Raman, E., Noise quantification prior to image restoration, in Meeting of the Dutch Society for Pattern Recognition and Image Processing, Best, The Netherlands, 1997.
J. Veraart, Van Hecke, W., Blockx, I., Van Der Linden, A., Verhoye, M., and Sijbers, J., Non-Rigid coregistration of diffusion kurtosis data, in Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on, Rotterdam, the Netherlands, 2010, pp. 392-395.PDF icon Download paper (278.35 KB)
W. Van Hecke, Leemans, A., De Backer, S., Vandervliet, E., Parizel, P. M., Sijbers, J., and D'Agostino, E., Non-rigid coregistration of diffusion tensor images using a viscous fluid model., in 23rd Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology, Warsaw, Poland, 2006, pp. 191-192.
K. Zarei Zefreh, Welford, F. M., and Sijbers, J., A Novel adaptive PCA Based Denoising Technique for Ultra-High-Rate Computed Tomography, in 7th Conference on Industrial Computed Tomography (iCT 2017), Leuven (Belgium), 2017.

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