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J. De Beenhouwer and Sijbers, J., “A PHASE‑CONTRAST X‑RAY IMAGING SYSTEM FOR OBTAINING A DARK‑FIELD IMAGE AND A METHOD THEREFOR”, U.S. Patent EP 4 351 425 B12025.PDF icon Download patent (547.58 KB)
J. De Beenhouwer, Palenstijn, W. J., Bleichrodt, F., Batenburg, K. J., and Sijbers, J., “A framework for markerless alignment with full 3D flexibility”, European Microscopy Conference. 2012.PDF icon Download abstract (117.9 KB)
S. De Backer, Pizurica, A., Huysmans, B., Philips, W., and Scheunders, P., “Denoising of Multicomponent Images Using Wavelet Least-Squares Estimators”, Image and Vision Computing, vol. 26, pp. 1038-1051, 2008.
A. De Backer, Fatermans, J., den Dekker, A. J., and Van Aert, S., “Chapter Four - Atom counting”, in Advances in Imaging and Electron Physics,, vol. 217, Science Direct Elsevier, 2021.
S. De Backer, “Unsupervised Pattern Recognition - Dimensionality Reduction and Classification”, University of Antwerp, Antwerp, 2002.
A. De Backer, Fatermans, J., den Dekker, A. J., and Van Aert, S., “Chapter Eight - General conclusions and future perspectives”, in Advances in Imaging and Electron Physics, vol. 217, Science Direct Elsevier, 2021.
S. De Backer, Cornelissen, F., Lemeire, J., Nuydens, R., Meert, T., Schelkens, P., and Scheunders, P., “Mosiacing of Fibered Fluorescence Microscopy Video”, Lecture notes in Computer Science, vol. 5259, pp. 915-923, 2008.
S. De Backer, Kempeneers, P., Debruyn, W., and Scheunders, P., “A Band Selection Technique for Spectral Classification”, IEEE Geoscience and Remote Sensing Letters, vol. 2, pp. 319-323, 2005.
S. De Backer and Scheunders, P., “Texture segmentation by frequency-sensitive elliptical competitive learning”, in Proc. ICIAP99, International Conference on Image Analysis and Processing , Venice, Italy, september 27-29, 1999, pp. 64-69.
S. De Backer and Scheunders, P., “A competitive elliptical clustering algorithm”, Pattern Recognition Letters, vol. 20, pp. 1141-1147, 1999.
A. De Backer, Fatermans, J., den Dekker, A. J., and Van Aert, S., “Chapter One - Introduction”, in Advances in Imaging and Electron Physics, vol. 217, Science Direct Elsevier, 2021.
S. De Backer, Kempeneers, P., Debruyn, W., and Scheunders, P., “Wavelet Based Hyperspectral Data Analysis for Vegetation Stress Classification”, in Proc. of Advanced Concepts for Intelligent Vision Systems, Brussels, Belgium, 2004, pp. 387-391.
S. De Backer, Kempeneers, P., Debruyn, W., and Scheunders, P., “Classification of Dune Vegetation from Remotely Sensed Hyperspectral Images”, in Image Analysis and Recognition Proc. of International Conference on Image Analysis and Recognition, Porto, Portugal, 2004, pp. 497-503.
A. De Backer, Fatermans, J., den Dekker, A. J., and Van Aert, S., “Chapter Five - Optimal experiment design for nanoparticle atom counting from ADF STEM images”, in Advances in Imaging and Electron Physics, vol. 217, Science Direct Elsevier, 2021.
A. De Backer, van den Bos, K. H. W., Van den Broek, W., Sijbers, J., and Van Aert, S., “StatSTEM: An efficient approach for accurate and precise model-based quantification of atomic resolution electron microscopy images”, Ultramicroscopy, vol. 171, pp. 104–116, 2016.
S. De Backer, Naud, A., and Scheunders, P., “Non-linear Dimensionality Reduction Techniques for Unsupervised Feature Extraction”, Pattern Recognition Letters, vol. 19, pp. 711-720, 1998.
S. De Backer and Scheunders, P., “Enhancement of fMRI image series with the aid of an anatomical image”, in ISBI’06, IEEE International Symposium on Biomedical Imaging, Arlington, Virginia, april 6-9, 2006, pp. 1052-1055.
A. De Backer, Fatermans, J., den Dekker, A. J., and Van Aert, S., “Chapter Two - Statistical parameter estimation theory: principles and simulation studies”, in Advances in Imaging and Electron Physics, vol. 217, Science Direct Elsevier, 2021.
A. De Backer, Fatermans, J., den Dekker, A. J., and Van Aert, S., “Chapter Three - Efficient fitting algorithm”, in Advances in Imaging and Electron Physics, vol. 217, Science Direct Elsevier, 2021.
S. De Backer and Scheunders, P., “Texture segmentation by frequency-sensitive elliptical competitive learning”, Image and Vision Computing, vol. 19, pp. 639-648, 2001.
M. Das and Liang, Z., “Approximated transport-of-intensity equation for coded-aperture x-ray phase-contrast imaging”, Optics Letters, vol. 39, no. 18, p. 5395, 2014.
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, 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, 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)

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