Export 1077 results:
Author [ Type(Desc)] Year
Conference Paper
L. Goto, Huysmans, T., Lee, W., Molenbroek, J. F. M., and Goossens, R., A Comparison Between Representative 3D Faces Based on Bi- and Multi-variate and Shape Based Analysis, in Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018)- Volume VII, 2019, vol. VII, pp. 1355–1364.
W. Van Hecke, Leemans, A., Sijbers, J., Parizel, P. M., and Van Goethem, J., A comparison of diffusion tensor analysis methods for detecting age-related changes of the normal appearing spinal cord, in 23rd Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology, Warsaw, Poland, 2006, pp. 293-294.
M. Van Dael, Verboven, P., Van Hoorebeke, L., Sijbers, J., and Nicolai, B., Comparison of methods for online inspection of apple internal quality, in 7th Conference on Industrial Computed Tomography, Leuven, Belgium, 2017.PDF icon Download paper (815.39 KB)
S. Hassanzadeh, Karami, A., Heylen, R., and Scheunders, P., Compression Of Hyperspectral Images Using Block Coordinate Descent Search And Compressed Sensing, in 8th workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing, Los Angeles, USA, 2016.
G. Van Gompel, Defrise, M., and Van Dyck, D., Consistent Extrapolation of Truncated 2D CT Projections, in Micro tomography 3D, Gasthuisberg, Leuven, Belgium, 2006.
Y. D. Reijmer, Leemans, A., Heringa, S. M., Wielaard, I., Jeurissen, B., Koek, H. L., and Biessels, G. J., Constrained spherical deconvolution based tractography and cognition in Alzheimer’s disease, in Congress of the International Society for Vascular, Cognitive and Behavioural Disorders, Lille, France, 2011, vol. 5.
J. Sijbers, Raman, E., Van Audekerke, J., Malfliet, W., Van Der Linden, A., Verhoye, M., and Cloeck, C., The construction of a gradient set, in 4th Meeting of the FGWO/FRSM Contact Group Biomedical MR, Louvain-la-Neuve, Belgium, 1993, p. 5.
W. Van Hecke, Leemans, A., De Backer, S., Parizel, P. M., and Sijbers, J., On the construction of a ground truth methodology to evaluate VBM analysis results of diffusion tensor images, in European Society for Magnetic Resonance in Medicine and Biology, Valencia, Spain, 2008.
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.
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.
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)
W. D'haes, Van Dyck, D., and Rodet, X., Control Parameter Estimation for a Physical Model of a Trumpet Using Pattern Recognition, in IEEE Workshop on Model Based Processing and Coding of Audio (MPCA), Leuven, Belgium, 2002.
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. 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.
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)
S. Livens, Anthonis, A., Mahy, M., and Scheunders, P., Cross-media tonal mapping model obtained from psychometric experiments, in Proc. SPIE 5008: Color Imaging, Device- Independent Color, Color Hardcopy, and Graphic Arts VII , Santa Clara, CA, 2003, pp. 14-23.
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)
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.
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.
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. 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.
A. Karami, Heylen, R., and Scheunders, P., Denoising Of Hyperspectral Images Using Shearlet Transform And Fully Constrained Least Squares Unmixing, in 8th workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing, Los Angeles, USA, 2016.
P. Scheunders, Denoising of multispectral images using wavelet thresholding, in Proc. SPIE conference on Image and Signal Processing for Remote Sensing IX, part of the International Symposium on Remote Sensing, Barcelona, Spain, 2003, pp. 28-35.
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.
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.