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B. De Samber, Renders, J., Elberfeld, T., Maris, Y., Sanctorum, J., Six, N., Liang, Z., De Beenhouwer, J., and Sijbers, J., FleXCT: a Flexible X-ray CT scanner with 10 degrees of freedom, Optics Express, vol. 29, no. 3, pp. 3438-3457, 2021.PDF icon Download paper (14.25 MB)
A. De Luca, Ianus, A., Leemans, A., Palombo, M., Shemesh, N., Zhang, H., Alexander, D. C., Nilsson, M., Froeling, M., Biessels, G. - J., Zucchelli, M., Frigo, M., Albay, E., Sedlar, S., Alimi, A., Deslauriers-Gauthier, S., Deriche, R., Fick, R., Afzali, M., Pieciak, T., Bogusz, F., Aja-Fernandez, S., Ozarslan, E., Jones, D. K., Chen, H., Jin, M., Zhang, Z., Wang, F., Nath, V., Parvathaneni, P., Morez, J., Sijbers, J., Jeurissen, B., Shreyas,, Fadnavis,, Endres, S., Rokem, A., Garyfallidis, E., Sanchez, I., Prchkovska, V., Rodrigues, P., Landman, B. A., and Schilling, K. G., On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge, NeuroImage, vol. 240, no. 118367, 2021.
T. De Kerf, Gestels, A., Janssens, K., Steenackers, G., Scheunders, P., and Vanlanduit, S., Quantitative detection of corrosion minerals in carbon steel using shortwave infrared hyperspectral imaging, RSC Advances, vol. 12, pp. 32775-32783, 2022.
T. De Kerf, Pipintakos, G., Zahiri, Z., Vanlanduit, S., and Scheunders, P., Identification of corrosion minerals usning shortwave infrared hyperspectral imaging, Sensors, vol. 22, no. 1, p. 407, 2022.PDF icon sensors-22-00407-v2.pdf (4.41 MB)
G. De Groof, Verhoye, M., Van Meir, V., Tindemans, I., Leemans, A., and Van Der Linden, A., In vivo diffusion tensor imaging (DTI) of brain subdivisions and vocal pathways in songbirds, NeuroImage, vol. 29, pp. 754-763, 2006.
F. De Carlo, Gursoy, D., Ching, D., Batenburg, K. J., Ludwig, W., Mancini, L., Welford, F. M., Mokso, R., Pelt, D., Sijbers, J., and Rivers, M., TomoBank: A Tomographic Data Repository for Computational X-ray Science, Measurement Science and Technology, vol. 29, no. 3, pp. 1-10, 2018.PDF icon Download paper (5.71 MB)
T. De Bondt, Van Hecke, W., Veraart, J., Leemans, A., Sijbers, J., Sunaert, S., Jacquemyn, Y., and Parizel, P. M., 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, no. 1, pp. 57-64, 2013.PDF icon Download paper (411.18 KB)
T. De Bondt, Jacquemyn, Y., Van Hecke, W., Sijbers, J., Sunaert, S., and Parizel, P. M., 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.
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, 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.
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, 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.
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., A competitive elliptical clustering algorithm, Pattern Recognition Letters, vol. 20, pp. 1141-1147, 1999.
S. De Backer and Scheunders, P., Texture segmentation by frequency-sensitive elliptical competitive learning, Image and Vision Computing, vol. 19, pp. 639-648, 2001.
F. Danckaers, Huysmans, T., Van Dael, M., Verboven, P., Nicolai, B., and Sijbers, J., Building a Statistical Shape Model of the Apple from Corresponded Surfaces, Chemical Engineering Transactions, vol. 44, pp. 49-54, 2015.PDF icon Download paper (696.94 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, 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., Van Dael, M., Verboven, P., Nicolai, B., and Sijbers, J., Building 3D Statistical Shape Models of Horticultural Products, Food and Bioprocess Technology, vol. 10, no. 11, pp. 2100-2112, 2017.PDF icon Download paper (1.73 MB)
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., 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, Journal of X-Ray Science and Technology, vol. 22, pp. 77-89, 2014.PDF icon Download paper (3.75 MB)
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.

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