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Conference Paper
G. Van Gompel, Batenburg, K. J., Van de Casteele, E., Van Aarle, W., and Sijbers, J., A discrete tomography approach for superresolution micro-CT images, in IEEE International Symposium on Biomedical Imaging, Rotterdam, 2010, pp. 816-819.PDF icon Download paper (1.13 MB)
W. Van Aarle, Cant, J., De Beenhouwer, J., and Sijbers, J., Discrete tomographic reconstruction from deliberately motion blurred X-ray projections, in 6th Conference on Industrial Computed Tomography, Wels, Austria, 2016, pp. 1-6.PDF icon Download paper (444.66 KB)
W. Van Hecke, Sijbers, J., Van Goethem, J., and Parizel, P. M., Diffusion tensor tractography reveals white matter alterations in the normal appearing spinal cord of Multiple Sclerosis patients, in European Society for Magnetic Resonance in Medicine and Biology, Valencia, Spain, 2008.
W. Van Hecke, Leemans, A., Sijbers, J., Parizel, P. M., and Van Goethem, J., Diffusion Tensor Tractoghraphy Reaveals Spinal Cord Alterations in Patients with Multiple Sclerosis, in 32nd Congress of the Europea Society of NeuroRadiolog, 2007, p. 129.
Z. Mai, Verhoye, M., Van Der Linden, A., and Sijbers, J., Diffusion Tensor Images Upsampling: a Registration-based Approach, in 13th International Machine Vision and Image Processing Conference, Dublin, Ireland, 2009, vol. 13, pp. 36-40.PDF icon Download paper (808.21 KB)
Z. Mai, Verhoye, M., and Sijbers, J., Diffusion Tensor Images Edge-Directed Interpolation, in International Symposium on Biomedical Imaging 2010, 2010, pp. 732-735.
W. Van Hecke, Leemans, A., De Brabander, N., Laridon, A., Claeys, K., Ceulemans, B., Van Goethem, J., Parizel, P. M., and Sijbers, J., Diffusion Tensor Fiber Tracking Reveals Probst Bundles in Patients with Agenesis of the Corpus Callosum, in 32nd Congress of the Europea Society of NeuroRadiolog, 2007, p. 135.
W. Van Hecke, Leemans, A., De Brabander, N., Laridon, A., Ceulemans, B., Sijbers, J., and Parizel, P. M., Diffusion tensor fiber tracking in patients with agenesis of the corpus callosum, in 23rd Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology, Warsaw, Poland, 2006, pp. 34-35.
A. J. den Dekker and Sijbers, J., Detection of brain activation from magnitude fMRI data using a generalized likelihood ratio test, in Proceedings of the 12th European Signal Processing Conference, Vienna, Austria, 2004, pp. 233-236.
S. Delputte, Leemans, A., Fieremans, E., De Deene, Y., D'Asseler, Y., Lemahieu, I., Achten, E., Sijbers, J., and Van de Walle, R., Density Regularized Fiber Tractography of the Brain White Matter using Diffusion Tensor MRI, in 13th Scientific Meeting - International Society for Magnetic Resonance in Medicine, Miami, USA, 2005, p. 1309.
J. Rajan, Jeurissen, B., Sijbers, J., and Kannan, K., Denoising Magnetic Resonance Images using Fourth Order Complex Diffusion, in 13th International Machine Vision and Image Processing Conference, Dublin, Ireland, 2009, pp. 123-127.
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.
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.
A. Presenti, Bazrafkan, S., Sijbers, J., and De Beenhouwer, J., Deep learning-based 2D-3D sample pose estimation for X-ray 3DCT, in 10th Conference on Industrial Computed Tomography (ICT 2020), 2020.
J. Van Houtte, Bazrafkan, S., Vandenberghe, F., Zheng, G., and Sijbers, J., A Deep Learning Approach to Horse Bone Segmentation from Digitally Reconstructed Radiographs, in International Conference on Image Processing Theory, Tools, and Applications, 2019.
L. F. Alves Pereira, Van Nieuwenhove, V., De Beenhouwer, J., and Sijbers, J., A Deep Convolutional Framelet Network based on Tight Steerable Wavelet: application to sparse-view medical tomosynthesis, in International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2021.
R. Pinho, Tournoy, K. G., Gosselin, R., and Sijbers, J., A Decision Support System for the Treatment of Tracheal Stenosis, in Proc. of Workshop on Discrete Geometry and Mathematical Morphology (WADGMM), Istanbul, 2010, pp. 72-76.
K. J. Batenburg and Sijbers, J., DART: a fast heuristic algebraic reconstruction algorithm for discrete tomography, in Proceedings of the IEEE International Conference on Image Processing (ICIP), San Antonio, Texas, USA, 2007.PDF icon Download paper (415.32 KB)
J. Sanctorum, Sijbers, J., and De Beenhouwer, J., Dark field sensitivity in single mask edge illumination lung imaging, in 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), Nice, France, 2021, pp. 775-778.
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)
J. Sijbers, Van Camp, N., Leemans, A., den Dekker, A. J., Verhoye, M., and Van Der Linden, A., Coregistration of Micro-MRI, microCT and microPET, in Workshop on non Invasive 3D Microscopy, University of Antwerp, Belgium, 2004, p. 16.
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)
J. Cant, Behiels, G., and Sijbers, J., Continuous Digital Laminography, in 6th Conference on Industrial Computed Tomography, Wels, Austria, 2016.PDF icon Download paper (363.74 KB)
J. Sijbers and den Dekker, A. J., Construction of a likelihood ratio test for magnitude fMRI data, in 19th Annual Symposium of the Belgian Hospital Physicists Association, 2004.
W. Van Hecke, D'Agostino, E., Leemans, A., Parizel, P. M., Maes, F., and Sijbers, J., On the construction of a healthy brain inter-subject diffusion tensor image and tractography atlas, in 32nd Congress of the Europea Society of NeuroRadiolog, 2007, p. 146.

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