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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)
De Backer, S., and P. Scheunders, "A competitive elliptical clustering algorithm", Pattern Recognition Letters, vol. 20, no. 11, pp. 1141-1147, 1999.
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, "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., 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 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., 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, 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, "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 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., 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 Boeck, B., Infotree - A study of its foundations, , Antwerp, University of Antwerp, 2001.
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, A. Leemans, and A. Van Der Linden, "DTI parameters: Fractional Anisotropy, Radial and Axial Diffusivity reveal seasonal neuroplasticity in the adult songbird brain", 4th annual meeting of the Society of Molecular Imaging, Keulen, Germany, 2005.
De Groof, G., M. Verhoye, A. Leemans, J. Sijbers, and A. Van Der Linden, "Paired voxel-wise statistical mapping of in vivo Diffusion Tensor Imaging (DTI) data to assess the seasonal neuronal plasticity in the brain of a songbird", 1st Annual Meeting - European Society of Molecular Imaging, Paris, France, 2006.
De Groof, G., M. Verhoye, A. Leemans, and A. Van Der Linden, "Using diffusion tensor imaging (DTI) to assess the neuronal plasticity and neuroconnectivity in the brain of a songbird", Molecular & Cellular Basis of Neuroconnectivity, Leuven, Belgium, 2006.
De Groof, G., M. Verhoye, A. Leemans, and A. Van Der Linden, "Using diffusion tensor imaging (DTI) to assess the neuronal plasticity in the brain of a songbird", XXeme Congres du Groupement d'Etudes de Resonance Magnetique, Blankenberge, Belgium, 2006.
De Groof, G., M. Verhoye, A. Leemans, and A. Van Der Linden, "Using diffusion tensor imaging (DTI) to assess the neuronal plasticity in the brain of a songbird", 4th Annual Symposium – Young Belgian Magnetic Resonance Scientists, Brussels, Belgium, 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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