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P. Lo, van Ginneken, B., Reinhardt, J. M., Yavarna, T., de Jong, P. A., Irving, B., Fetita, C., Ortner, M., Pinho, R., Sijbers, J., Feuerstein, M., Fabijańska, A., Bauer, C., Beichel, R., Mendoza, C. S., Wiemker, R., Lee, J., Reeves, A. P., Born, S., Weinheimer, O., van Rikxoort, E. M., Tschirren, J., Mori, K., Odry, B., Naidich, D. P., Hartmann, I., Hoffman, E. A., Prokop, M., Pedersen, J. H., and de Bruijne, M., “Extraction of airways from CT (EXACT'09).”, IEEE Transactions on Medical Imaging, vol. 31, no. 11, pp. 2093-107, 2012.
M. Ljubenović, Bazrafkan, S., De Beenhouwer, J., and Sijbers, J., “CNN-based Deblurring of Terahertz Images”, in Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP), 2020, vol. 4, pp. 323-330.PDF icon Download paper (16.31 MB)
M. Ljubenović, Zhuang, L., De Beenhouwer, J., and Sijbers, J., “Joint Deblurring and Denoising of THz Time-Domain Images”, IEEE Access, vol. 9, pp. 162-176, 2021.PDF icon Download paper (2.38 MB)
S. Livens, Van Roost, C., Scheunders, P., and Van Dyck, D., “Granulometric segmentation using a gradient convergence map”, in Proc. Scandinavian Conference on Image Analysis , Lappeenranta, Finland, 9-11/6, 1997, pp. 389-396.
S. Livens, Scheunders, P., Van de Wouwer, G., Vautrot, P., and Van Dyck, D., “Wavelets for texture analysis, an overview”, in Proc. IEE International Conference on Image Processing and Applications , Dublin, 14-17 july, 1997, pp. 581-585.
S. Livens, “Image Analysis for Material Characterisation”, University of Antwerp, Antwerp, 1998.
S. Livens, Scheunders, P., Van de Wouwer, G., Van Dyck, D., Smets, H., Winkelmans, J., and Bogaerts, W., “Classification of corrosion images by wavelet signatures and LVQ networks”, Lecture Notes in Computer Science, vol. 970, pp. 538-543, 1995.
S. Livens, Van Roost, C., Scheunders, P., and Van Dyck, D., “Tabular silver bromide micro-crystal characterisation using optical microscopy and colour-image analysis”, in Proc. ICPS98, International Conference on Imaging Science , Antwerp, Belgium, 7-11/9, 1998.
S. Livens, Scheunders, P., Van de Wouwer, G., Van Dyck, D., Smets, H., Winkelmans, J., and Bogaerts, W., “A texture analysis approach to corrosion image classification”, Microscopy, Microanalysis, Microstructures, vol. 7, pp. 1-10, 1996.
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.
G. Liu, Nath, T., Guo, Z., Linneweber, G., Claeys, A., Li, J., Bengochea, M., De Backer, S., Weyn, B., Sneyders, M., Nicasy, H., Yu, P., Scheunders, P., and Hassan, B., “A simple computer vision pipeline reveals the effects of isolation on social interaction dynamics in Drosophila”, Plos Computational Biology, vol. 14, no. 8, p. e1006410, 2018.
F. Linsen, Iuso, D., and Sijbers, J., “Single X-ray Projection Material Decomposition using a Mesh Projector”, in 14th Conference on Industrial Computed Tomography (iCT), 4 - 7 February 2025, Antwerp, Belgium (iCT 2025), 2025.PDF icon Download paper (857.7 KB)
Y. - T. Ling, Cools, S., De Beenhouwer, J., Sijbers, J., and Vandervorst, W., “A Trajectory Based Bottom-Up Volume Reconstruction Method for Atom Probe Tomography”, European Atom Probe Workshop. 2019.
Y. - T. Ling, Cools, S., Bogdanowicz, J., Fleischmann, C., De Beenhouwer, J., Sijbers, J., and Vandervorst, W., “A Bottom-Up Volume Reconstruction Method for Atom Probe Tomography”, Microscopy and Microanalysis, vol. 28, no. 4, pp. 1-14, 2022.
W. Liao, Pizurica, A., Scheunders, P., Philips, W., and Pi, Y., “Semi-supervised local discriminant analysis for feature extraction in hyperspectral images”, IEEE Transactions on Geoscience and Remote Sensing, vol. 51, no. 1, pp. 184-198, 2013.
W. Liao, M Mura, D., Huang, X., Chanussot, J., Gautama, S., Scheunders, P., and Philips, W., “Lidar information extraction by attribute filters with partial reconstruction”, in IEEE IGARSS 2016, International Geoscience and Remote Sensing Symposium, pp. 1484-1487, Beijing, July 10-15 , 2016.
W. Liao, Huang, F., v. Coillie, F., Thoonen, G., Pizurica, A., Scheunders, P., and Philips, W., “Two-stage fusion of thermal hyperspectral and visible RGB image by PCA and guided filter”, in IEEE Whispers 2015, Workshop on Hyperspectral Image and Signal Processing, June 2-5, Tokyo, 2015.
Z. Liang, Van Heteren, A., Sijbers, J., and De Beenhouwer, J., “Toward denoising of 3D CT scans with few data”, in e-Journal of Nondestructive Testing, 2023, vol. 28, no. 3.PDF icon Download paper (5.93 MB)
A. Leemans, Sijbers, J., Verhoye, M., Van Der Linden, A., and Van Dyck, D., “A Geometric Color Scheme for Visualizing Diffusion Tensor Magnetic Resonance Fiber Pathways”, in 19th Annual Symposium - Belgian Hospital Physicists Association, Brussels, Belgium, 2004.
A. Leemans, Sijbers, J., Verhoye, M., and Van Der Linden, A., “Experimental Evaluation of Synthetic DT-MRI Models”, in 21th Annual Scientific Meeting - European Society for Magnetic Resonance in Medicine and Biology, Copenhagen, Denmark, 2004, pp. 40-41.
A. Leemans, Sijbers, J., Verhoye, M., Van Der Linden, A., and Van Dyck, D., “Simulating Neuronal Fiber Bundles for DT-MRI Tractography”, in 20th Annual Scientific Meeting - European Society for Magnetic Resonance in Medicine and Biology, Rotterdam, The Netherlands, 2003, p. 278.
A. Leemans, Sijbers, J., Verhoye, M., and Van Der Linden, A., “Optimized Fiber Tractography based on Diffusion Tensor Magnetic Resonance Simulations”, in 20th Annual Symposium - Belgian Hospital Physicists Association, Namur, Belgium, 2005.
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.
A. Leemans, Sijbers, J., De Backer, S., Vandervliet, E., and Parizel, P. M., “Affine Coregistration of Diffusion Tensor Magnetic Resonance Images Using Mutual Information”, Lecture Notes in Computer Science, vol. 3708, pp. 523-530, 2005.PDF icon Download full paper (1.26 MB)
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.

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