Publications

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A. J. den Dekker, Poot, D. H. J., Bos, R., and Sijbers, J., Likelihood based hypothesis tests for brain activation detection from MRI data disturbed by colored noise: a simulation study, IEEE Transactions on Medical Imaging, vol. 28, pp. 287-296, 2009.
A. J. den Dekker and Sijbers, J., Brain activation detection from magnitude fMRI data using a generalized likelihood ratio test, in Abstracts of the 23rd Benelux Meeting on Systems and Control, Helvoirt, The Netherlands, 2004.
A. J. den Dekker, Sijbers, J., Verhoye, M., and Van Dyck, D., Maximum Likelihood estimation of the signal component magnitude in phase contrast MR images, in Proceedings of SPIE Medical Imaging, San Diego, California, USA, 1998, vol. 3338, pp. 408-415.
A. J. den Dekker and Sijbers, J., Advanced Image Processing in Magnetic Resonance Imaging, in Series: Signal Processing and Communications, vol. 27, L. Landini, Ed. Marcel Dekker, 2005, pp. 85-143.
A. J. den Dekker, Sijbers, J., and Van Dyck, D., Quantitative HREM: viewpoints on resolution, precision, and experimental design, in Acta Cryst. A55 Supplement, Abstract M11.OE.OO5, IUCR Glasgow, Scotland, 1999.
A. Demertzi, Van Ombergen, A., Tomilovskaya, E., Jeurissen, B., Pechenkova, E. V., Di Perri, C., Litvinova, L., Amico, E., Rumshiskaya, A., Rukavishnikov, I., Sijbers, J., Sinitsyn, V., Kozlovskaya, I. B., Sunaert, S., Parizel, P. M., Van de Heyning, P. H., Laureys, S. S. L., and Wuyts, F. L., Cortical reorganization in an astronaut’s brain after long-duration spaceflight, Brain Structure and Function, vol. 221, no. 5, pp. 2873–2876, 2016.PDF icon Download paper (820.49 KB)
S. Delputte, Leemans, A., Fieremans, E., De Deene, Y., D'Asseler, Y., Lemahieu, I., Achten, E., Sijbers, J., and Van de Walle, R., Density Regularized Fiber Tractography of the Brain White Matter using Diffusion Tensor MRI, in 13th Scientific Meeting - International Society for Magnetic Resonance in Medicine, Miami, USA, 2005, p. 1309.
R. Delgado Y Palacios, Veraart, J., Vanhoutte, G., Schell, H., Verhoye, M., Kahle, P., Sijbers, J., and Van Der Linden, A., Diffusion kurtosis abnormalities in pre-symptomatic (alpha)-synycleunopathy mouse model, 3rd meeting of the ISMRM Benelux Chapter. Hoeven, The Netherlands, 2011.
R. Delgado Y Palacios, Adriaan, C., Kim, H., Verhoye, M., Poot, D. H. J., Jouke, D., Van Audekerke, J., Benveniste, H., Sijbers, J., Wiborg, O., and Van Der Linden, A., Magnetic resonance imaging and spectroscopy reveal differential hippocampal changes in anhedonic and resilient subtypes of the chronic mild stress rat model, Biological psychiatry, vol. 70, pp. 449-457, 2011.
R. Delgado Y Palacios, Verhoye, M., Van Audekerke, J., Poot, D. H. J., Sijbers, J., Wiborg, O., and Van Der Linden, A., DKI visualizes hippocampal alterations in the chronic mild stress ratmodel, ISMRM conference proceedings, vol. 2009. p. 744, 2009.
V. De Witte, Thoonen, G., Scheunders, P., Pizurica, A., and Philips, W., Classification of multi-source images using color mathematical morphological profiles, in Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International, Vancouver, BC, Canada, 2011, pp. 3919 - 3922.
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.
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.
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.
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)
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)
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, 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)
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.
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 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., 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.

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