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Dabravolski, A., "Towards In Loco X-ray Computed Tomography", Department of Physics, 12/2015.
Dabravolski, A., J. De Beenhouwer, and J. Sijbers, "Projection-based polygon estimation in X-ray computed tomography", 6th International Conference on Optical Measurement Techniques for Structures and Systems (OPTIMESS), pp. 41-50, 2016. PDF icon Download paper (615.72 KB)
Danckaers, F., S. Scataglini, R. Haelterman, D. Van Tiggelen, T. Huysmans, and J. Sijbers, "Automatic Generation of Statistical Shape Models in Motion", Advances in Human Factors in Simulation and Modeling (AHFE 2018), vol. 780, Cham, Springer International Publishing, pp. 170–178, 2019.
Danckaers, F., T. Huysmans, M. Van Dael, P. Verboven, B. Nicolai, and J. Sijbers, "Building a Statistical Shape Model of the Apple from Corresponded Surfaces", Chemical Engineering Transactions, vol. 44, Milano, Italy, pp. 49-54, 2015. PDF icon Download paper (696.94 KB)
Danckaers, F., T. Huysmans, and J. Sijbers, "Adaptable digital human models from 3D body scans", DHM and Posturography, vol. VI: Academic Press, pp. 459-470, 2019.
Danckaers, F., T. Huysmans, and J. Sijbers, "Building 3D Statistical Shape Models of Vegetables and Fruit", National Symposium for Applied Biological Sciences 2016 (NSABS), 2016.
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)
Danckaers, F., D. Lacko, S. Verwulgen, G. De Bruyne, T. Huysmans, and J. Sijbers, "A Combined Statistical Shape Model of the Scalp and Skull of the Human Head", 8th International Conference on Applied Human Factors and Ergonomics (AHFE 2017), vol. 591, Los Angeles, California, USA, Springer, pp. 538-548, 2018. PDF icon Download paper (934.68 KB)
Danckaers, F., T. Huysmans, D. Lacko, and J. Sijbers, "Evaluation of 3D Body Shape Predictions Based on Features", 6th International Conference on 3D Body Scanning Technologies, Lugano, Switserland, pp. 258-265, 2015. PDF icon 27danckaers.pdf (2.55 MB)
Danckaers, F., T. Huysmans, A. Hallemans, G. De Bruyne, S. Truijen, and J. Sijbers, "Posture normalization of 3D body scans", Ergonomics, vol. 62, issue 6, 2019. PDF icon Download paper (5.03 MB)
Danckaers, F., "The Development of 3D Statistical Shape Models for Diverse Applications", Department of Physics, vol. PhD in Sciences, 2019.
Danckaers, F., T. Huysmans, S. Rogge, M. Van Dael, P. Verboven, B. Nicolai, and J. Sijbers, "Building a statistical shape model of the interior and exterior of the bell pepper", 30th Targeted Technologies for Sustainable Food Systems (EFFoST) International Conference, vol. 28-30 November, Vienna, Austria, 2016.
Danckaers, F., T. Huysmans, A. Hallemans, G. De Bruyne, S. Truijen, and J. Sijbers, "Full Body Statistical Shape Modeling with Posture Normalization", The 8th International Conference on Applied Human Factors and Ergonomics (AHFE 2017), vol. 591, Los Angeles, California, USA, Springer, pp. 437-448, 2018. PDF icon Download paper (1.12 MB)
Danckaers, F., T. Huysmans, M. Van Dael, P. Verboven, B. Nicolai, and J. Sijbers, "Building 3D Statistical Shape Models of Horticultural Products", Food and Bioprocess Technology, vol. 10, issue 11, pp. 2100-2112, 2017. PDF icon Download paper (1.73 MB)
De Backer, A., K. H. W. van den Bos, W. Van den Broek, J. Sijbers, and S. Van Aert, "StatSTEM: An efficient approach for accurate and precise model-based quantification of atomic resolution electron microscopy images", Ultramicroscopy, vol. 171, pp. 104–116, 2016.
De Backer, S., A. Naud, and P. Scheunders, "Non-linear Dimensionality Reduction Techniques for Unsupervised Feature Extraction", Pattern Recognition Letters, vol. 19, pp. 711-720, 1998.
De Backer, S., and P. Scheunders, "Enhancement of fMRI image series with the aid of an anatomical image", ISBI’06, IEEE International Symposium on Biomedical Imaging, Arlington, Virginia, april 6-9, pp. 1052-1055, 2006.
De Backer, S., and P. Scheunders, "Texture segmentation by frequency-sensitive elliptical competitive learning", Image and Vision Computing, vol. 19, no. 9, pp. 639-648, 2001.
De Backer, S., A. Pizurica, B. Huysmans, W. Philips, and P. Scheunders, "Denoising of Multicomponent Images Using Wavelet Least-Squares Estimators", Image and Vision Computing, vol. 26, no. 7, pp. 1038-1051, July, 2008.
De Backer, S., Unsupervised Pattern Recognition - Dimensionality Reduction and Classification, , Antwerp, University of Antwerp, 2002.
De Backer, S., F. Cornelissen, J. Lemeire, R. Nuydens, T. Meert, P. Schelkens, and P. Scheunders, "Mosiacing of Fibered Fluorescence Microscopy Video", Lecture notes in Computer Science, vol. 5259, pp. 915-923, October, 2008.
De Backer, S., P. Kempeneers, W. Debruyn, and P. Scheunders, "A Band Selection Technique for Spectral Classification", IEEE Geoscience and Remote Sensing Letters, vol. 2, no. 3, pp. 319-323, July, 2005.
De Backer, S., and P. Scheunders, "Texture segmentation by frequency-sensitive elliptical competitive learning", Proc. ICIAP99, International Conference on Image Analysis and Processing , Venice, Italy, september 27-29, pp. 64-69, 1999.
De Backer, S., and P. Scheunders, "A competitive elliptical clustering algorithm", Pattern Recognition Letters, vol. 20, no. 11, pp. 1141-1147, 1999.
De Backer, S., P. Kempeneers, W. Debruyn, and P. Scheunders, "Wavelet Based Hyperspectral Data Analysis for Vegetation Stress Classification", Proc. of Advanced Concepts for Intelligent Vision Systems, Brussels, Belgium, pp. 387-391, 2004.

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