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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.
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.
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)
B. De Boeck, Infotree - A study of its foundations, University of Antwerp, Antwerp, 2001.
B. De Boeck, Scheunders, P., and Van Dyck, D., From inductive inference to the fundamental equations of measuerement, in Proc. First International Conference on Complex Systems, 2000, pp. 115-122.
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.
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)
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)
G. De Groof, Verhoye, M., Van Meir, V., Tindemans, I., Leemans, A., and Van Der Linden, A., In Vivo Visualization of the Neuroanatomy and Brain Connectivity of Starling Brain Through Diffusion Tensor Imaging, in 6th Bi-Annual Meeting – Belgian Society for Neuroscience, Brussels, Belgium, 2005.
G. De Groof, Verhoye, M., Leemans, A., and Van Der Linden, A., Seasonal changes in neuronal connectivity in the songbird brain discerned by repeated in vivo DTI, in 13th Scientific Meeting - International Society for Magnetic Resonance in Medicine, Miami, USA, 2005, p. 715.
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.
G. De Groof, Verhoye, M., Leemans, A., and Van Der Linden, A., DTI parameters: Fractional Anisotropy, Radial and Axial Diffusivity reveal seasonal neuroplasticity in the adult songbird brain, in 4th annual meeting of the Society of Molecular Imaging, Keulen, Germany, 2005.
G. De Groof, Verhoye, M., Leemans, A., Sijbers, J., and Van Der Linden, A., 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, in 1st Annual Meeting - European Society of Molecular Imaging, Paris, France, 2006.
G. De Groof, Verhoye, M., Leemans, A., and Van Der Linden, A., Using diffusion tensor imaging (DTI) to assess the neuronal plasticity and neuroconnectivity in the brain of a songbird, in Molecular & Cellular Basis of Neuroconnectivity, Leuven, Belgium, 2006.
G. De Groof, Verhoye, M., Leemans, A., and Van Der Linden, A., Using diffusion tensor imaging (DTI) to assess the neuronal plasticity in the brain of a songbird, in XXeme Congres du Groupement d'Etudes de Resonance Magnetique, Blankenberge, Belgium, 2006.
G. De Groof, Verhoye, M., Leemans, A., and Van Der Linden, A., Using diffusion tensor imaging (DTI) to assess the neuronal plasticity in the brain of a songbird, in 4th Annual Symposium – Young Belgian Magnetic Resonance Scientists, Brussels, Belgium, 2005.
T. De Kerf, Hyperspectral imaging for automated inspection of offshore wind infrastructure, 2023.
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)
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.
B. De Samber, De Rycke, R., De Bruyne, M., Kienhuis, M., Sandblad, L., Bohic, S., Cloetens, P., Urban, C., Polerecky, L., and Vincze, L., Effect of sample preparation techniques upon single cell chemical imaging: A practical comparison between synchrotron radiation based X-ray fluorescence (SR-XRF) and Nanoscopic Secondary Ion Mass Spectrometry (nano-SIMS), Analytica Chimica Acta, vol. 1106, pp. 22-32, 2020.PDF icon Download paper (4.01 MB)
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)
S. De Santis, Jeurissen, B., Jones, D. K., Assaf, Y., and Roebroek, A., Inversion Recovery DTI In Vivo at 7T in the Human Brain, ISMRM 23th Annual Meeting. Toronto, Ontario, Canada, p. 567, 2015.
S. De Santis, Assaf, Y., Jeurissen, B., Jones, D. K., and Roebroeck, A., T1 relaxometry of crossing fibres in the human brain., NeuroImage, 2016.
T. De Schryver, Dhaene, J., Dierick, M., Boone, M. N., Janssens, E., Sijbers, J., Van Dael, M., Verboven, P., Nicolai, B., and Van Hoorebeke, L., In-line NDT with X-Ray CT combining sample rotation and translation, NDT & E International, vol. 89, pp. 89–98, 2016.
T. De Schryver, Dierick, M., Van Hoorebeke, L., Verboven, P., Van Dael, M., and Sijbers, J., Tomography for in-line product inspection, U.S. Patent EP3106863A12015.

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