Publications

Export 812 results:
Author Type [ Year(Asc)]
Filters: Author is Jan Sijbers  [Clear All Filters]
2014
V. Van Nieuwenhove, Van Eyndhoven, G., De Beenhouwer, J., and Sijbers, J., “Compensation of affine deformations in fan and cone beam projections”, Micro-CT User Meeting. pp. 187-189, 2014.PDF icon Download abstract (285.55 KB)
L. F. Alves Pereira, Dabravolski, A., Tsang, I. R., Cavalcanti, G. D. C., and Sijbers, J., “Conveyor belt X-ray CT using Domain Constrained Discrete Tomography”, in Sibgrapi conference on Graphics, Patterns and Images, 2014, pp. 290 - 297.PDF icon Download paper (3.45 MB)
F. Danckaers, Huysmans, T., Lacko, D., Ledda, A., Verwulgen, S., Van Dongen, S., and Sijbers, J., “Correspondence Preserving Elastic Surface Registration with Shape Model Prior”, in International Conference of Pattern Recognition, 2014, vol. 22, pp. 2143-2148.PDF icon paper (550.57 KB)
A. J. den Dekker and Sijbers, J., “Data distributions in magnetic resonance images: a review”, Physica Medica, vol. 30, no. 7, pp. 725–741, 2014.PDF icon Download paper (410.33 KB)PDF icon Download paper (protected) (505.58 KB)
A. Dabravolski, Batenburg, K. J., and Sijbers, J., “Dynamic Angle Selection in X-ray Computed Tomography”, Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, vol. 324, pp. 17-24, 2014.
A. Van Tongel, Huysmans, T., Bernat, A., Piepers, I., Sijbers, J., Van Glabbeek, F., and De Wilde, L., “Evaluation of prominence of straight plates and precontoured clavicle plates using automated plate-to-bone fitting”, Acta Orthopaedica Belgica, vol. 80, no. 3, pp. 301-308, 2014.PDF icon Download paper (582.85 KB)
K. J. Batenburg, Sijbers, J., and Plantagie, L., “Filter for Tomographic Reconstructions”, U.S. Patent WO2013011031A12014.
T. Roine, Jeurissen, B., Philips, W., Leemans, A., and Sijbers, J., “Improving fiber orientation estimation in constrained spherical deconvolution under non-white matter partial volume effects”, Proceedings of the Joint Annual Meeting ISMRM–ESMRMB. p. 4492, 2014.PDF icon 4492.pdf (574.06 KB)
C. Van Dijck, Wirix-Speetjens, R., Huysmans, T., Danckaers, F., Sijbers, J., and Vander Sloten, J., “Influence of Correspondence Method on Statistical Model Based Shape Prediction”, in IEEE International Symposium on Biomedical Imaging (ISBI), 2014.PDF icon isbi2014_abstract.pdf (250.1 KB)PDF icon isbi2014_poster.pdf (1.8 MB)
C. Van Dijck, Wirix-Speetjens, R., Huysmans, T., Danckaers, F., Sijbers, J., and Vander Sloten, J., “Influence of Correspondence Method on Statistical Model Based Shape Prediction”, Symposium on Statistical Shape Models and Applications, Delémont, Switzerland. 2014.
T. Roine, Jeurissen, B., Perrone, D., Aelterman, J., Leemans, A., Philips, W., and Sijbers, J., “Isotropic non-white matter partial volume effects in constrained spherical deconvolution”, Frontiers in Neuroinformatics, vol. 8, pp. 1-9, 2014.PDF icon Download paper (1.79 MB)
T. Roine, Jeurissen, B., Philips, W., Leemans, A., and Sijbers, J., “Isotropic non-white matter partial volume effects in constrained spherical deconvolution”, Sixth Annual Meeting of the Benelux ISMRM Chapter. 2014.
R. Riji, Rajan, J., Sijbers, J., and Nair, M. S., “Iterative bilateral filter for Rician noise reduction in MR images”, Signal, Image and Video Processing , 2014.
G. Ramos-Llordén, den Dekker, A. J., and Sijbers, J., “Joint motion correction and estimation for T1 mapping: proof of concept”, Medical Imaging Summer School 2014, Favignana, Italy. 2014.
G. Van Eyndhoven, Batenburg, K. J., and Sijbers, J., “A local enhancement based tomographic reconstruction technique for radiation exposure reduction in cerebral perfusion computed tomography”, European Congress of Radiology 2014 (ECR 2014). 2014.
W. Van den Broek, Rosenauer, A., Sijbers, J., Van Dyck, D., and Van Aert, S., “A memory efficient method for fully three-dimensional object reconstruction with HAADF STEM Ultramicroscopy”, Ultramicroscopy, vol. 141, pp. 22–31, 2014.
A. Dabravolski, Batenburg, K. J., and Sijbers, J., “A Multiresolution Approach to Discrete Tomography Using DART”, PLoS ONE, vol. 9, no. 9, 2014.PDF icon Download paper (6.13 MB)
A. Dabravolski, Batenburg, K. J., and Sijbers, J., “A multiresolution approach to the Discrete Algebraic Reconstruction Technique (DART)”, 2nd International Congress on 3D Materials Science. 2014.PDF icon Download abstract (59.52 KB)PDF icon Download presentation (1.72 MB)
B. Jeurissen, Tournier, J. - D., Dhollander, T., Connelly, A., and Sijbers, J., “Multi-tissue constrained spherical deconvolution for improved analysis of multi-shell diffusion MRI data”, NeuroImage, vol. 103, pp. 411–426, 2014.
H. K. Jenssen, Oberlander, B. C., De Beenhouwer, J., Sijbers, J., and Verwerft, M., “Neutron radiography and tomography applied to fuel degradation during ramp tests and loss of coolant accident tests in a research reactor”, Progress in Nuclear Energy, vol. 72, pp. 55-62, 2014.
J. Rajan, den Dekker, A. J., and Sijbers, J., “A new non local maximum likelihood estimation method for Rician noise reduction in Magnetic Resonance images using the Kolmogorov-Smirnov test”, Signal Processing, vol. 103, pp. 16-23, 2014.
D. Perrone, Aelterman, J., Jeurissen, B., Pizurica, A., Philips, W., and Sijbers, J., “A Novel Method for Realistic DWI Data Generation”, International Society for Magnetic Resonance in Medicine, vol. 22. Milan, Italy, p. 4427, 2014.
J. Gonnissen, De Backer, A., den Dekker, A. J., Martinez, G. T., Rosenauer, A., Sijbers, J., and Van Aert, S., “Optimal experimental design for the detection of light atoms from high-resolution scanning transmission electron microscopy images”, Applied Physics Letters, vol. 105, no. 063116, 2014.
J. Veraart and Sijbers, J., “Post-processing of diffusion-weighted MR data lowers the accuracy of the weighted linear least squares estimator ”, Proceedings of the International Society for Magnetic Resonance in Medicine, vol. 22. p. 2573, 2014.PDF icon Download abstract (556.84 KB)
T. Roelandts, Batenburg, K. J., den Dekker, A. J., and Sijbers, J., “The reconstructed residual error: A novel segmentation evaluation measure for reconstructed images in tomography”, Computer Vision and Image Understanding, vol. 126, pp. 28-37, 2014.PDF icon Download paper (4.58 MB)

Pages