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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., "The Development of 3D Statistical Shape Models for Diverse Applications", Department of Physics, vol. PhD in Sciences, 2019.
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., 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.
De Backer, S., P. Kempeneers, W. Debruyn, and P. Scheunders, "Classification of Dune Vegetation from Remotely Sensed Hyperspectral Images", Image Analysis and Recognition Proc. of International Conference on Image Analysis and Recognition, Porto, Portugal, Springer, pp. 497-503, 2004.
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.
De Beenhouwer, J., W J. Palenstijn, F. Bleichrodt, K. J. Batenburg, and J. Sijbers, "A framework for markerless alignment with full 3D flexibility", European Microscopy Conference, 2012. PDF icon Download abstract (117.9 KB)
De Boeck, B., Infotree - A study of its foundations, , Antwerp, University of Antwerp, 2001.
De Boeck, B., P. Scheunders, and D. Van Dyck, "From inductive inference to the fundamental equations of measuerement", Proc. First International Conference on Complex Systems: Perseus Books, pp. 115-122, 2000.
De Bondt, T., Y. Jacquemyn, W. Van Hecke, J. Sijbers, S. Sunaert, and P. M. Parizel, "Regional gray matter volume differences and sex-hormone correlations as a function of menstrual cycle phase and hormonal contraceptives use.", Brain research, vol. 1530, pp. 22-31, 2013 Sep 12.
De Bondt, T., W. Van Hecke, J. Veraart, A. Leemans, J. Sijbers, S. Sunaert, Y. Jacquemyn, and P. M. Parizel, "Does the use of hormonal contraceptives cause microstructural changes in cerebral white matter? Preliminary results of a DTI and tractography study.", European radiology, vol. 23, issue 1, pp. 57-64, 2012 Jul 20, 2013. PDF icon Download paper (411.18 KB)
De Carlo, F., D. Gursoy, D. Ching, K. J. Batenburg, W. Ludwig, L. Mancini, F M. Welford, R. Mokso, D. Pelt, J. Sijbers, et al., "TomoBank: A Tomographic Data Repository for Computational X-ray Science", Measurement Science and Technology, vol. 29, issue 3, pp. 1-10, 2018. PDF icon Download paper (5.71 MB)
De Groof, G., M. Verhoye, V. Van Meir, I. Tindemans, A. Leemans, and A. Van Der Linden, "In Vivo Visualization of the Neuroanatomy and Brain Connectivity of Starling Brain Through Diffusion Tensor Imaging", 6th Bi-Annual Meeting – Belgian Society for Neuroscience, Brussels, Belgium, 2005.
De Groof, G., M. Verhoye, A. Leemans, and A. Van Der Linden, "Seasonal changes in neuronal connectivity in the songbird brain discerned by repeated in vivo DTI", 13th Scientific Meeting - International Society for Magnetic Resonance in Medicine, Miami, USA, pp. 715, 2005.
De Groof, G., M. Verhoye, V. Van Meir, I. Tindemans, A. Leemans, and A. Van Der Linden, "In vivo diffusion tensor imaging (DTI) of brain subdivisions and vocal pathways in songbirds", NeuroImage, vol. 29, pp. 754-763, 2006.

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