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A. Leemans, Sijbers, J., Verhoye, M., Van Der Linden, A., and Van Dyck, D., “White Matter Fiber Bundle Coregistration for Diffusion Tensor Magnetic Resonance Tractography”, in 13th Annual Meeting - Section for Magnetic Resonance Technologists, Kyoto, Japan, 2004.
A. Leemans, Sijbers, J., and Parizel, P. M., “A Graphical Toolbox for Exploratory Diffusion Tensor Imaging and Fiber Tractography”, in 14th Annual Meeting - Section for Magnetic Resonance Technologists, Miami, USA, 2005.
A. Leemans, Sijbers, J., Verhoye, M., and Van Der Linden, A., “A Library of 3D synthetic DT-MRI models for testing White Matter fiber Tractography Algorithms”, in 21th Annual Scientific Meeting - European Society for Magnetic Resonance in Medicine and Biology, Copenhagen, Denmark, 2004, p. 42.
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., 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”, Magnetic Resonance in Medicine, vol. 55, pp. 1414-1423, 2006.
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., 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, Jeurissen, B., Sijbers, J., and Jones, D. K., “ExploreDTI: A Graphical Toolbox for Processing, Analyzing, and Visualizing Diffusion MR Data”, ISMRM, 17th Scientific Meeting and Exhibition. Honolulu, USA, 2009.
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.
Z. Liang, Van Heteren, A., Sijbers, J., and De Beenhouwer, J., “Toward denoising of 3D CT scans with few data”, e-Journal of Nondestructive Testing, vol. 28, no. 3, 2023.PDF icon Download paper (5.93 MB)
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.
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.
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.
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, “Image Analysis for Material Characterisation”, University of Antwerp, Antwerp, 1998.
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, 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., “Classification of corrosion images by wavelet signatures and LVQ networks”, Lecture Notes in Computer Science, vol. 970, pp. 538-543, 1995.
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.
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.
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)

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