Publications

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F. Danckaers, “The Development of 3D Statistical Shape Models for Diverse Applications”, 2019.
F. Danckaers, Stanković, K., Huysmans, T., Booth, B. G., and Sijbers, J., “Foot shape assessment techniques for orthotic and footwear applications: a methodological literature review”, Frontiers in Bioengineering and Biotechnology, vol. 12, pp. 1-15, 2024.PDF icon Download paper (1.99 MB)
F. Danckaers, Van Houtte, J., Booth, B. G., Verstreken, F., and Sijbers, J., “Statistical shape and pose model of the forearm for custom splint design”, in IEEE International Symposium on Biomedical Imaging (ISBI), 2021, pp. 1669-1672.PDF icon Download paper (1.54 MB)
F. Danckaers, Huysmans, T., and Sijbers, J., “Building 3D Statistical Shape Models of Vegetables and Fruit”, National Symposium for Applied Biological Sciences 2016 (NSABS). 2016.
F. Danckaers, Huysmans, T., Lacko, D., Ledda, A., Verwulgen, S., Van Dongen, S., and Sijbers, J., “Correspondence Preserving Elastic Surface Registration with Shape Model Prior”, in International Conference of Pattern Recognition, 2014, vol. 22, pp. 2143-2148.PDF icon paper (550.57 KB)
F. Danckaers, Lacko, D., Verwulgen, S., De Bruyne, G., Huysmans, T., and Sijbers, J., “A Combined Statistical Shape Model of the Scalp and Skull of the Human Head”, in 8th International Conference on Applied Human Factors and Ergonomics (AHFE 2017), Los Angeles, California, USA, 2018, vol. 591, pp. 538-548.PDF icon Download paper (934.68 KB)
F. Danckaers, Huysmans, T., Hallemans, A., De Bruyne, G., Truijen, S., and Sijbers, J., “Posture normalization of 3D body scans”, Ergonomics, vol. 62, no. 6, pp. 834-848, 2019.PDF icon Download paper (5.03 MB)
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)
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.
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., “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., “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”, 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)
A. Dabravolski, “Towards In Loco X-ray Computed Tomography”, 2015.
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, 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, 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 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 and Rodet, X., “Discrete Cepstrum Coefficients as Perceptual Features”, in International Computer Music Conference (ICMC), 2003.
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., “Automatic Estimation of Control Parameters: An Instance-Based Learning Approach”, in International Computer Music Conference (ICMC), Havana, Cuba, 2001.

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