Publications

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Author [ Type(Desc)] Year
Conference Paper
R. Heylen, Parente, M., and Scheunders, P., Estimation of the intrinsic dimensionality in hyperspectral imagery via the hubness phenomenon, in LVA ICA 2017, International conference on latent variable analysis and signal separation, Grenoble, France, February 21-23, Lecture Notes in Computer Science, 2017, vol. 10169.
D. H. J. Poot, Sijbers, J., den Dekker, A. J., and Bos, R., Estimation of the noise variance from the background histogram mode of an MR image, in Proceedings of SPS-DARTS 2006 (The second annual IEEE BENELUX/DSP Valley Signal Processing Symposium), Antwerp, Belgium, 2006, pp. 159-162.
D. H. J. Poot, Sijbers, J., den Dekker, A. J., and Bos, R., Estimation of the noise variance from the background histogram mode of an MR image, in Proceedings of the 25th Benelux Meeting on Systems and Control, Heeze, The Netherlands, 2006.
B. Jeurissen, Leemans, A., Tournier, J. - D., and Sijbers, J., Estimation of Uncertainty in Constrained Spherical Deconvolution Fiber Orientations, in 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Paris, France, 2008, pp. 907-910.
F. Danckaers, Huysmans, T., Lacko, D., and Sijbers, J., Evaluation of 3D Body Shape Predictions Based on Features, in 6th International Conference on 3D Body Scanning Technologies, Lugano, Switserland, 2015, pp. 258-265.PDF icon 27danckaers.pdf (2.55 MB)
G. Pascoletti, Huysmans, T., Conti, P., and Zanetti, E. M., Evaluation of a Morphable Anthropomorphic Articulated Total Body Model, in Design Tools and Methods in Industrial Engineering II - Proceedings of the 2nd International Conference on Design Tools and Methods in Industrial Engineering, ADM 2021, 2022, pp. 761–772.
W. Van Hecke, Leemans, A., D'Agostino, E., De Backer, S., Vandervliet, E., Parizel, P. M., and Sijbers, J., The evaluation of a population based diffusion tensor image atlas using a ground truth method, in Proceedings of SPIE Medical Imaging, San Diego, USA, 2008, vol. 6914.
J. Ganseman, Mysore, G. J., Scheunders, P., and Abel, J. S., Evaluation of a score-informed source separation system, in Proc. 11th International Society for Music Information Retrieval Conference (ISMIR 2010), Utrecht, the Netherlands, August 2010, 2010, pp. 219-224.
S. Bugani, Cloetens, P., Colombini, M. P., Giachi, G., Janssens, K., Modugno, F., Morselli, L., and Van de Casteele, E., Evaluation of conservation treatments for archeological waterlogged wooden artifacts, in 9th International Conference on NDT of Art, 2008.
D. Iuso, Chatterjee, S., Heylen, R., Cornelissen, S., De Beenhouwer, J., and Sijbers, J., Evaluation of deeply supervised neural networks for 3D pore segmentation in additive manufacturing, in SPIE Optical Engineering: Developments in X-Ray Tomography XIV , 2022, vol. 12242, p. 122421K.PDF icon Download paper (protected) (1.79 MB)
S. Verwulgen, Vleugels, J., Lacko, D., De Bruyne, G., and Huysmans, T., Evaluation of the thickness of hair layer from 3D scans and medical images, in 7th International Conference and Exhibition on 3D Body Scanning Technologies (3DBST), 2016, Lugano, Switzerland, 30 November - 1 December.
S. van der Maar, Batenburg, K. J., and Sijbers, J., Experiences with Cell-BE and GPU for tomography, in Embedded COmputer Systems: Architectures, Modeling, and Simulation - 9th International Workshop, SAMOS 2009 - Proceedings, 2009, pp. 298-307.
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.
D. H. J. Poot, Sijbers, J., and den Dekker, A. J., An exploration of spatial similarities in temporal noise spectra in fMRI measurements, in Proceedings of SPIE Medical Imaging 2008, San Diego, CA, USA, 2008, vol. 6914, p. 69142.
B. Koirala, Rasti, B., Bnoulkacem, Z., Ribeiro, A. De Lima, Madriz, Y., Herrmann, E., Gestels, A., De Kerf, T., Janssens, K., Steenackers, G., Gloaguen, R., and Scheunders, P., An Extensive Multisensor Hyperspectral Benchmark Datasets of Intimate Mixtures of Mineral Powders, in IEEE International Geoscience and Remote Sensing Symposium, 2023, pp. 5890-5893.PDF icon igarss_2022_1.pdf (1001.3 KB)
L. F. Alves Pereira, De Beenhouwer, J., Kastner, J., and Sijbers, J., Extreme Sparse X-ray Computed Laminography Via Convolutional Neural Networks, in ICTAI 2020, 2020.PDF icon Download paper (2.5 MB)
R. Heylen, Akhter, M. A., and Scheunders, P., A fast alternative for the pixel purity index algorithm, in IEEE IGARSS 2015, International Geoscience and Remote Sensing Symposium, Milan, Italy, July 26-31, 2015, pp. 1781-1784.
R. Hanel, Batenburg, K. J., and Sijbers, J., Fast bias field estimation by localized Lloyd-Max quantization, in SPIE Medical Imaging, San Diego, CA, USA, 2008.PDF icon Download full paper (297.69 KB)
E. Janssens, Sijbers, J., Dierick, M., and De Beenhouwer, J., Fast detection of cracks in ultrasonically welded parts by inline X-ray inspection, in 9th Conference on Industrial Computed Tomography, Padova, Italy, 2019.
R. Heylen and Scheunders, P., A fast geometric algorithm for solving the inversion problem in spectral unmixing, in IEEE-WHISPERS 2012, Workshop on Hyperspectral Image and Signal Processing, Shanghai, June 4-7, 2012.
E. Janssens, Senck, S., Heinzl, C., Kastner, J., De Beenhouwer, J., and Sijbers, J., Fast Reconstruction of CFRP X-ray Images based on a Neural Network Filtered Backprojection Approach, in 7th Conference on Industrial Computed Tomography, Leuven, Belgium, 2017.PDF icon Download paper (345.06 KB)
D. Pelt, Sijbers, J., and Batenburg, K. J., Fast Tomographic Reconstruction from Highly Limited Data Using Artificial Neural Networks, in 1st International Conference on Tomography of Materials and Structures (ICTMS), 2013, pp. 109-112.PDF icon Download paper (2.15 MB)
L. F. Alves Pereira, Janssens, E., Van Dael, M., Verboven, P., Nicolai, B., Cavalcanti, G. D. C., Tsang, I. J., and Sijbers, J., Fast X-ray Computed Tomography via Image Completion, in 6th Conference on Industrial Computed Tomography(iCT), Wels, Austria, 2016, pp. 1-5.
T. Dhollander, Veraart, J., Van Hecke, W., Maes, F., Sunaert, S., Sijbers, J., and Suetens, P., Feasibility and advantages of diffusion weighted imaging atlas construction in Q-space, in MICCAI 2011: Medical Image Computing and Computer-Assisted Intervention, 2011, pp. 166-173.
S. Yu and Scheunders, P., Feature selection for high-dimensional remote sensing data by a maximum entropy principal based optimization, in Proc. Geoscience and Remote Sensing Symposium, 2001, pp. 3303-3305.

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