Publications

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Author [ Type(Asc)] Year
Conference Paper
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)
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)
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.
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.
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.
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.
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. 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.
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.
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.
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.
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)
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.
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.
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.
J. Sijbers, den Dekker, A. J., Van Dyck, D., and Raman, E., “Estimation of signal and noise from Rician distributed data”, in Proceedings of the IASTED International Conference on Signal Processing and Communications, Canary Islands, Spain, 1998, pp. 140-143.
R. Heylen and Scheunders, P., “Estimating the number of endmembers in hyperspectral imagery with nearest neighbor distances”, in IEEE IGARSS2012, International Geoscience and Remote Sensing Symposium, Munich, July 22-27, 2012, pp. 1377-1380.
A. Leemans, Sijbers, J., Verhoye, M., and Van Der Linden, A., “Entropy-based coregistration for DT-MR images using an efficient tensor shape preserving reorientation strategy”, in 13th Scientific Meeting - International Society for Magnetic Resonance in Medicine, Miami, USA, 2005, p. 227.
N. Francken, Paramonov, P., Sijbers, J., and De Beenhouwer, J., “Enhancing industrial inspection with efficient edge illumination x-ray phase contrast simulations”, in IEEE EUROCON 2023 -20th International Conference on Smart Technologies, Torino, Italy, 2023.PDF icon eurocon_2023.pdf (8.52 MB)
S. De Backer and Scheunders, P., “Enhancement of fMRI image series with the aid of an anatomical image”, in ISBI’06, IEEE International Symposium on Biomedical Imaging, Arlington, Virginia, april 6-9, 2006, pp. 1052-1055.
Z. Mahmood and Scheunders, P., “Enhanced visualization of hyperspectral images”, in Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International, 2010, pp. 991 -994.
A. Leemans, De Backer, S., Sijbers, J., Vandervliet, E., and Parizel, P. M., “End point clustering for diffusion tensor white matter fiber bundle tractography”, in 22th Annual Scientific Meeting - European Society for Magnetic Resonance in Medicine and Biology, Basle, Switzerland, 2005, pp. 129-130.
G. Van Gompel, Defrise, M., and Van Dyck, D., “Elliptical Extrapolation of Truncated 2D CT Projections using Helgason-Ludwig consistency conditions”, in SPIE Medical Imaging: Physics of Medical Imaging, San Diego, Californa, USA, 2006, vol. 6142, pp. 1408-1417.
P. Paramonov, Renders, J., Elberfeld, T., De Beenhouwer, J., and Sijbers, J., “Efficient X-ray projection of triangular meshes based on ray tracing and rasterization”, in SPIE Optical Engineering: Developments in X-Ray Tomography XIV , 2022, vol. 12242, p. 122420W .PDF icon Download paper (1.72 MB)

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