Export 986 results:
Author [ Type(Desc)] Year
Conference Paper
Van Hecke, W., E. D'Agostino, A. Leemans, P. M. Parizel, F. Maes, and J. Sijbers, "On the construction of a healthy brain inter-subject diffusion tensor image and tractography atlas", 32nd Congress of the Europea Society of NeuroRadiolog, pp. 146, 2007.
Sijbers, J., and A J. den Dekker, "Construction of a likelihood ratio test for magnitude fMRI data", 19th Annual Symposium of the Belgian Hospital Physicists Association, January, 2004.
Cant, J., G. Behiels, and J. Sijbers, "Continuous Digital Laminography", 6th Conference on Industrial Computed Tomography, Wels, Austria, 2016. PDF icon Download paper (363.74 KB)
D'haes, W., D. Van Dyck, and X. Rodet, "Control Parameter Estimation for a Physical Model of a Trumpet Using Pattern Recognition", IEEE Workshop on Model Based Processing and Coding of Audio (MPCA), Leuven, Belgium, November, 2002.
Alves Pereira, L. F., A. Dabravolski, I R. Tsang, G. D. C. Cavalcanti, and J. Sijbers, "Conveyor belt X-ray CT using Domain Constrained Discrete Tomography", Sibgrapi conference on Graphics, Patterns and Images, pp. 290 - 297, 2014. PDF icon Download paper (3.45 MB)
Sijbers, J., N. Van Camp, A. Leemans, A J. den Dekker, M. Verhoye, and A. Van Der Linden, "Coregistration of Micro-MRI, microCT and microPET", Workshop on non Invasive 3D Microscopy, University of Antwerp, Belgium, pp. 16, August, 2004.
Danckaers, F., T. Huysmans, D. Lacko, A. Ledda, S. Verwulgen, S. Van Dongen, and J. Sijbers, "Correspondence Preserving Elastic Surface Registration with Shape Model Prior", International Conference of Pattern Recognition, vol. 22, pp. 2143-2148, 2014. PDF icon paper (550.57 KB)
Livens, S., A. Anthonis, M. Mahy, and P. Scheunders, "Cross-media tonal mapping model obtained from psychometric experiments", Proc. SPIE 5008: Color Imaging, Device- Independent Color, Color Hardcopy, and Graphic Arts VII , Santa Clara, CA, pp. 14-23, 2003.
Batenburg, K. J., and J. Sijbers, "DART: a fast heuristic algebraic reconstruction algorithm for discrete tomography", Proceedings of the IEEE International Conference on Image Processing (ICIP), San Antonio, Texas, USA, September, 2007. PDF icon Download paper (415.32 KB)
Pinho, R., K. G. Tournoy, R. Gosselin, and J. Sijbers, "A Decision Support System for the Treatment of Tracheal Stenosis", Proc. of Workshop on Discrete Geometry and Mathematical Morphology (WADGMM), Istanbul, IAPR, pp. 72-76, August, 2010.
Van Houtte, J., S. Bazrafkan, F. Vandenberghe, G. Zheng, and J. Sijbers, "A Deep Learning Approach to Horse Bone Segmentation from Digitally Reconstructed Radiographs", International Conference on Image Processing Theory, Tools, and Applications, 2019.
Rajan, J., B. Jeurissen, J. Sijbers, and K. Kannan, "Denoising Magnetic Resonance Images using Fourth Order Complex Diffusion", 13th International Machine Vision and Image Processing Conference, Dublin, Ireland, pp. 123-127, 2009.
Karami, A., R. Heylen, and P. Scheunders, "Denoising Of Hyperspectral Images Using Shearlet Transform And Fully Constrained Least Squares Unmixing", 8th workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing, Los Angeles, USA, 08/2016.
Scheunders, P., "Denoising of multispectral images using wavelet thresholding", Proc. SPIE conference on Image and Signal Processing for Remote Sensing IX, part of the International Symposium on Remote Sensing, Barcelona, Spain, pp. 28-35, September, 2003.
Delputte, S., A. Leemans, E. Fieremans, Y. De Deene, Y. D'Asseler, I. Lemahieu, E. Achten, J. Sijbers, and R. Van de Walle, "Density Regularized Fiber Tractography of the Brain White Matter using Diffusion Tensor MRI", 13th Scientific Meeting - International Society for Magnetic Resonance in Medicine, Miami, USA, pp. 1309, 2005.
den Dekker, A J., and J. Sijbers, "Detection of brain activation from magnitude fMRI data using a generalized likelihood ratio test", Proceedings of the 12th European Signal Processing Conference, Vienna, Austria, ISBN 3-200-00165-8, pp. 233-236, September, 2004.
Meersman, D., P. Scheunders, and D. Van Dyck, "Detection of microcalcifications using neural networks", Digital Mammography, pp. 287-290, 1996.
Meersman, D., P. Scheunders, and D. Van Dyck, "Detection of microcalcifications using non-linear filtering", Proc. EUSIPCO'98, European Signal Processing Conference, pp. 2465-2468, 1998.
Asaari, M. Shahrimie, S. Mertens, S. Dhondt, N. Wuyts, and P. Scheunders, "Detection of plant responses to drought using close-range hyperspectral imaging in a high-throughput phenotyping platform", IEEE Whispers 2018, Workshop on Hyperspectral Image and Signal Processing, Amsterdam, 23-26 September , 2018.
Verwulgen, S., D. Lacko, H. Justine, S. Kustermans, S. Moons, F. Thys, S. Zelck, K. Vaes, T. Huysmans, J. Vleugels, et al., "Determining Comfortable Pressure Ranges for Wearable EEG Headsets", Advances in Human Factors in Wearable Technologies and Game Design, Cham, Springer International Publishing, pp. 11–19, 2019.
Roine, T., J. Pietilä, J. Kaartinen, P. Blanz, and P. Rantala, "Development of a Machine Vision System to Monitor a Grinding Mill Prototype", 12th European Symposium on Comminution and Classification (ESCC 2009), 2009.
Van Hecke, W., A. Leemans, N. De Brabander, A. Laridon, B. Ceulemans, J. Sijbers, and P. M. Parizel, "Diffusion tensor fiber tracking in patients with agenesis of the corpus callosum", 23rd Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology, Warsaw, Poland, pp. 34-35, 2006.
Van Hecke, W., A. Leemans, N. De Brabander, A. Laridon, K. Claeys, B. Ceulemans, J. Van Goethem, P. M. Parizel, and J. Sijbers, "Diffusion Tensor Fiber Tracking Reveals Probst Bundles in Patients with Agenesis of the Corpus Callosum", 32nd Congress of the Europea Society of NeuroRadiolog, pp. 135, 2007.
Mai, Z., M. Verhoye, and J. Sijbers, "Diffusion Tensor Images Edge-Directed Interpolation", International Symposium on Biomedical Imaging 2010, pp. 732-735, April, 2010.
Mai, Z., M. Verhoye, A. Van Der Linden, and J. Sijbers, "Diffusion Tensor Images Upsampling: a Registration-based Approach", 13th International Machine Vision and Image Processing Conference, vol. 13, Dublin, Ireland, pp. 36-40, September, 2009. PDF icon Download paper (808.21 KB)