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Conference Paper
A. Dabravolski, Batenburg, K. J., and Sijbers, J., “Dynamic Angle Selection in X-ray Computed Tomography”, in 1st International Conference on Tomography of Materials and Structures (ICTMS), Ghent, Belgium, 2013, pp. 27-30.PDF icon Download full paper (447.03 KB)PDF icon Download presentation (682.25 KB)
A. Presenti, Sijbers, J., and De Beenhouwer, J., “Dynamic angle selection for few-view X-ray inspection of CAD based objects”, in Proc. SPIE, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully3D), 2019, vol. 11072.
J. Van der Rauwelaert, Bossuyt, C., and Sijbers, J., “Dual Domain Swin Transformer based Reconstruction method for Sparse-View Computed Tomography”, in iCT 2025 - 14th Conference on Industrial Computed Tomography (iCT), 4 - 7 February 2025, Antwerp, Belgium, 2025.PDF icon Download paper (1.16 MB)
G. De Groof, Verhoye, M., Leemans, A., and Van Der Linden, A., “DTI parameters: Fractional Anisotropy, Radial and Axial Diffusivity reveal seasonal neuroplasticity in the adult songbird brain”, in 4th annual meeting of the Society of Molecular Imaging, Keulen, Germany, 2005.
W. Van Hecke, Leemans, A., Sijbers, J., Parizel, P. M., and Van Goethem, J., “DTI of normal appearing spinal cord in elderly”, in 44th Annual Meeting of the American Society of Neuroradiology, San Diego, USA, 2006, pp. 380-381.
M. Vlaminck, Bnoulkacem, Z., Luzardo, G., Zivariadab, H., Zahiri, Z., Koirala, B., Mangialetto, F., Bufi, I., Platisa, L., Jayapala, M., Scheunders, P., and Luong, H., “Drone-Based Corrosion Detection on High-Voltage Transmission Towers Using Hyperspectral Imaging”, in 2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2023, pp. 1-5.PDF icon whispers2023.pdf (10.52 MB)
D. Van Dyck, den Dekker, A. J., Sijbers, J., and Bettens, E., “Dose Limited Resolution”, in Proceedings Microscopy and Microanalysis, Atlanta, Georgia, U.S.A, 1998, vol. 2, pp. 802-803.
J. - P. Jacobs, Thoonen, G., Tuia, D., Camps-Valls, G., Haest, B., and Scheunders, P., “Domain adaptation with Hidden Markov Random Fields”, in Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International, Melbourne, VIC, Australia, 2013, pp. 3112-3115.
K. J. Batenburg and Sijbers, J., “Discrete tomography from micro-CT data: application to the mouse trabecular bone structure”, in Proceedings of SPIE Medical Imaging: Physics of Medical Imaging, San Diego, CA, USA, 2006, vol. 6142, pp. 1325-1335.PDF icon Download full paper (563.79 KB)
G. Van Gompel, Batenburg, K. J., Van de Casteele, E., Van Aarle, W., and Sijbers, J., “A discrete tomography approach for superresolution micro-CT images”, in IEEE International Symposium on Biomedical Imaging, Rotterdam, 2010, pp. 816-819.PDF icon Download paper (1.13 MB)
W. Van Aarle, Cant, J., De Beenhouwer, J., and Sijbers, J., “Discrete tomographic reconstruction from deliberately motion blurred X-ray projections”, in 6th Conference on Industrial Computed Tomography, Wels, Austria, 2016, pp. 1-6.PDF icon Download paper (444.66 KB)
W. D'haes and Rodet, X., “Discrete Cepstrum Coefficients as Perceptual Features”, in International Computer Music Conference (ICMC), 2003.
W. Van Hecke, Sijbers, J., Van Goethem, J., and Parizel, P. M., “Diffusion tensor tractography reveals white matter alterations in the normal appearing spinal cord of Multiple Sclerosis patients”, in European Society for Magnetic Resonance in Medicine and Biology, Valencia, Spain, 2008.
W. Van Hecke, Leemans, A., Sijbers, J., Parizel, P. M., and Van Goethem, J., “Diffusion Tensor Tractoghraphy Reaveals Spinal Cord Alterations in Patients with Multiple Sclerosis”, in 32nd Congress of the Europea Society of NeuroRadiolog, 2007, p. 129.
P. M. Parizel and Van Hecke, W., “Diffusion Tensor Imaging: Is it really useful?”, in 32nd Congress of the Europea Society of NeuroRadiolog, 2007.
Z. Mai, Verhoye, M., Van Der Linden, A., and Sijbers, J., “Diffusion Tensor Images Upsampling: a Registration-based Approach”, in 13th International Machine Vision and Image Processing Conference, Dublin, Ireland, 2009, vol. 13, pp. 36-40.PDF icon Download paper (808.21 KB)
Z. Mai, Verhoye, M., and Sijbers, J., “Diffusion Tensor Images Edge-Directed Interpolation”, in International Symposium on Biomedical Imaging 2010, 2010, pp. 732-735.
W. Van Hecke, Leemans, A., De Brabander, N., Laridon, A., Claeys, K., Ceulemans, B., Van Goethem, J., Parizel, P. M., and Sijbers, J., “Diffusion Tensor Fiber Tracking Reveals Probst Bundles in Patients with Agenesis of the Corpus Callosum”, in 32nd Congress of the Europea Society of NeuroRadiolog, 2007, p. 135.
W. Van Hecke, Leemans, A., De Brabander, N., Laridon, A., Ceulemans, B., Sijbers, J., and Parizel, P. M., “Diffusion tensor fiber tracking in patients with agenesis of the corpus callosum”, in 23rd Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology, Warsaw, Poland, 2006, pp. 34-35.
T. Roine, Pietilä, J., Kaartinen, J., Blanz, P., and Rantala, P., “Development of a Machine Vision System to Monitor a Grinding Mill Prototype”, in 12th European Symposium on Comminution and Classification (ESCC 2009), 2009.
S. Verwulgen, Lacko, D., Justine, H., Kustermans, S., Moons, S., Thys, F., Zelck, S., Vaes, K., Huysmans, T., Vleugels, J., and Truijen, S., “Determining Comfortable Pressure Ranges for Wearable EEG Headsets”, in Advances in Human Factors in Wearable Technologies and Game Design, Cham, 2019, pp. 11–19.
M. Shahrimie Asaari, Mertens, S., Dhondt, S., Wuyts, N., and Scheunders, P., “Detection of plant responses to drought using close-range hyperspectral imaging in a high-throughput phenotyping platform”, in IEEE Whispers 2018, Workshop on Hyperspectral Image and Signal Processing, Amsterdam, 23-26 September , 2018.
D. Meersman, Scheunders, P., and Van Dyck, D., “Detection of microcalcifications using non-linear filtering”, in Proc. EUSIPCO'98, European Signal Processing Conference, 1998, pp. 2465-2468.
D. Meersman, Scheunders, P., and Van Dyck, D., “Detection of microcalcifications using neural networks”, in Digital Mammography, 1996, pp. 287-290.
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.

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