Publications

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A. J. den Dekker and van den Bos, A., “Resolution: a survey”, J. Opt. Soc. Am. A, vol. 14, pp. 547–557, 1997.
A. J. den Dekker and Sijbers, J., “Maximum Likelihood estimation of signal amplitude and noise variance”, in 13th IFAC Symposium on System Identification (SYSID-2003), Rotterdam, The Netherlands, 2003, pp. 126-131.
A. J. den Dekker, Sijbers, J., and Van Dyck, D., “Optimizing the setting of an electron microscope for highest resolution using statistical parameter estimation theory”, in Workshop: Towards Atomic Resolution Analysis 98, Port Ludlow, WA, U.S.A, 1998.
A. J. den Dekker, Gonnissen, J., De Backer, A., Sijbers, J., and Van Aert, S., “Estimation of unknown structure parameters from high-resolution (S)TEM images: what are the limits?”, Ultramicroscopy, vol. 134, pp. 34-43, 2013.
A. J. den Dekker, Sijbers, J., and Van Dyck, D., “Optimizing the design of an HREM experiment so as to attain the highest resolution”, in Proceedings of FEMMS98: Frontiers of Electron Microscopy in Material Science, Kloster Irsee, Germany, 1998.
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, 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.
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, 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.
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, 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)
T. De Kerf, “Hyperspectral imaging for automated inspection of offshore wind infrastructure”, 2023.
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.
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., 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.

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