Publications

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C
Q. Collier, “Robust estimation of diffusion tensor and diffusion kurtosis imaging parameters”, University of Antwerp, Antwerp, 2018.
Q. Collier, Veraart, J., Jeurissen, B., den Dekker, A. J., and Sijbers, J., “Iterative Reweighted Linear Least Squares for Accurate, Fast, and Robust Estimation of Diffusion Magnetic Resonance Parameters”, Magnetic Resonance in Medicine, vol. 73, no. 6, pp. 2174–2184, 2015.
S. Cools, Ghysels, P., Van Aarle, W., Sijbers, J., and Vanroose, W., “A multi-level preconditioned Krylov method for the efficient solution of algebraic tomographic reconstruction problems”, Journal of Computational and Applied Mathematics, vol. 238, no. 1, pp. 1-16, 2015.
W. R. Crum, Danckaers, F., Huysmans, T., Cotel, M. - C., Natesan, S., Modo, M. M., Sijbers, J., Williams, S. C. R., Kapur, S., and Vernon, A. C., “Chronic exposure to haloperidol and olanzapine leads to common and divergent shape changes in the rat hippocampus in the absence of grey-matter volume loss”, Psychological Medicine, vol. 46, no. 15, pp. 3081-3093, 2016.
A. Cuyt, Sijbers, J., Verdonk, B., and Van Dyck, D., “Region and Contour Identification of Physical Objects”, Applied Numerical Analysis Computational Mathematics, vol. 1, pp. 343-352, 2004.
D
W. D'haes, Van Dyck, D., and Rodet, X., “An efficient branch and bound seach algorithm for computing K nearest neighbors in a multidimensional vector space”, in Signal Processing, Pattern Recognition and Applications (SPPRA), Crete, Greece, 2002.
W. D'haes, “A highly optimized method for computing amplitudes over a windowed short time signal: From O(K^2N) to O(N log(N))”, in Proceedings of the IEEE Benelux Signal Processing Symposium, Hilvarenbeek, the Netherlands, 2004.
W. D'haes, Van Dyck, D., and Rodet, X., “An efficient branch and bound seach algorithm for computing K nearest neighbors in a multidimensional vector space”, in IEEE Advanced Concepts for Intelligent Vision Systems (ACIVS), Gent, Belgium, 2002.
W. D'haes, Van Dyck, D., and Rodet, X., “PCA-based Branch and Bound Search Algorithms for Computing K Nearest Neighbors”, Pattern Recognition Letters, vol. 24, pp. 1437-1451, 2003.
W. D'haes, “A highly optimized nonlinear least squares technique for sinusoidal analysis: From O(K^2N) to O(N log(N))”, in Proceedings of the 116th Audio Engineering Society Convention (AES), Berlin, Germany, 2004.
W. D'haes and Rodet, X., “Physical Constraints for the Control of a Physical Model of a Trumpet”, in International Conference on Digital Audio Effects (DAFx), Hamburg, Germany, 2002.
W. D'haes, Van Dyck, D., and Rodet, X., “Control Parameter Estimation for a Physical Model of a Trumpet Using Pattern Recognition”, in IEEE Workshop on Model Based Processing and Coding of Audio (MPCA), Leuven, Belgium, 2002.
W. D'haes and Rodet, X., “Discrete Cepstrum Coefficients as Perceptual Features”, in International Computer Music Conference (ICMC), 2003.
W. D'haes and Rodet, X., “Automatic Estimation of Control Parameters: An Instance-Based Learning Approach”, in International Computer Music Conference (ICMC), Havana, Cuba, 2001.
W. D'haes and Rodet, X., “A New Estimation Technique for Determining the Control Parameters of a physical model of a trumpet”, in 6th International Conference on Digital Audio Effects (DAFx03), London, England, 2003.
A. Dabravolski, “Towards In Loco X-ray Computed Tomography”, 2015.
A. Dabravolski, De Beenhouwer, J., and Sijbers, J., “Projection-based polygon estimation in X-ray computed tomography”, in 6th International Conference on Optical Measurement Techniques for Structures and Systems (OPTIMESS), 2016, pp. 41-50.PDF icon Download paper (615.72 KB)
A. Dabravolski, Batenburg, K. J., and Sijbers, J., “A multiresolution approach to the Discrete Algebraic Reconstruction Technique (DART)”, 2nd International Congress on 3D Materials Science. 2014.PDF icon Download abstract (59.52 KB)PDF icon Download presentation (1.72 MB)
A. Dabravolski, Batenburg, K. J., and Sijbers, J., “A Multiresolution Approach to Discrete Tomography Using DART”, PLoS ONE, vol. 9, no. 9, 2014.PDF icon Download paper (6.13 MB)
A. Dabravolski, Batenburg, K. J., and Sijbers, J., “Adaptive zooming in X-ray computed tomography”, Journal of X-Ray Science and Technology, vol. 22, pp. 77-89, 2014.PDF icon Download paper (3.75 MB)
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. Dabravolski, Batenburg, K. J., and Sijbers, J., “Dynamic Angle Selection in X-ray Computed Tomography”, Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, vol. 324, pp. 17-24, 2014.
A. Dabravolski, Batenburg, K. J., and Sijbers, J., “Adaptive Zooming in X-ray Computed Tomography”, in 1st International Conference on Tomography of Materials and Structures (ICTMS), Ghent, Belgium, 2013, pp. 5-8.PDF icon Download full paper (633.7 KB)PDF icon Download poster (1.18 MB)
F. Danckaers, Huysmans, T., and Sijbers, J., “Adaptable digital human models from 3D body scans”, in DHM and Posturography, vol. VI, Academic Press, 2019, pp. 459-470.
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)

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