Export 1297 results:
Author [ Type(Asc)] Year
Journal Article
Q. Collier, Veraart, J., Jeurissen, B., den Dekker, A. J., and Sijbers, J., Iterative Reweighted Linear Least Squares for Accurate, Fast, and Robust Estimation of Diffusion Magnetic Resonance Parameters, Magnetic Resonance in Medicine, vol. 73, no. 6, pp. 2174–2184, 2015.
G. Van Eyndhoven, Batenburg, K. J., Kazantsev, D., Van Nieuwenhove, V., Lee, P. D., Dobson, K. J., and Sijbers, J., An iterative CT reconstruction algorithm for fast fluid flow imaging, IEEE Transactions on Image Processing, vol. 24, no. 11, pp. 4446-4458, 2015.
G. Van Gompel, Van Slambrouck, K., Defrise, M., Batenburg, K. J., De Mey, J., Sijbers, J., and Nuyts, J., Iterative correction of beam hardening artifacts in CT, Medical Physics, vol. 38, pp. 36-49, 2011.
R. Riji, Rajan, J., Sijbers, J., and Nair, M. S., Iterative bilateral filter for Rician noise reduction in MR images, Signal, Image and Video Processing , 2014.
T. Roine, Jeurissen, B., Perrone, D., Aelterman, J., Leemans, A., Philips, W., and Sijbers, J., Isotropic non-white matter partial volume effects in constrained spherical deconvolution, Frontiers in Neuroinformatics, vol. 8, pp. 1-9, 2014.PDF icon Download paper (1.79 MB)
T. Roine, Jeurissen, B., Perrone, D., Aelterman, J., Leemans, A., Philips, W., and Sijbers, J., Isotropic non-white matter partial volume effects in constrained spherical deconvolution, Information-based methods for neuroimaging: analyzing structure, function and dynamics, p. 112, 2015.
K. Zarei Zefreh, Investigation on the effect of exposure time on scintillator afterglow for ultra-fast tomography acquisition, Journal of Instrumentation, vol. 11, 2016.
S. Bugani, Camaiti, M., Morselli, L., Van de Casteele, E., and Janssens, K., Investigation on porosity changes of Lecce stone due to conservation treatments by means of x-ray nano- and improved micro-computed tomography: preliminary results, X-Ray Spectrometry, vol. 36, no. 5, pp. 316 - 320, 2007.
D. Giraldo, Smith, R. E., Struyfs, H., Niemantsverdriet, E., De Roeck, E., Bjerke, M., Engelborghs, S., Romero, E., Sijbers, J., and Jeurissen, B., Investigating tissue-specific abnormalities in Alzheimer’s disease with multi-shell diffusion MRI, Journal of Alzheimer's Disease, vol. 90, no. 4, pp. 1771-1791, 2022.
B. Jeurissen, Leemans, A., Tournier, J. - D., Jones, D. K., and Sijbers, J., Investigating the prevalence of complex fiber configurations in white matter tissue with diffusion magnetic resonance imaging., Human Brain Mapping, vol. 34, pp. 2747-66, 2013.
S. Bugani, Camaiti, M., Morselli, L., Van de Casteele, E., and Janssens, K., Investigating morphological changes in treated vs. untreated stone building materials by x-ray micro-CT, Analytical and Bioanalytical Chemistry, vol. 391, no. 4, pp. 1343 - 1350, 2008.
A. Van Ombergen, Wuyts, F. L., Jeurissen, B., Sijbers, J., Vanhevel, F., Jillings, S., Parizel, P. M., Sunaert, S., Van de Heyning, P. H., Dousset, V., Laureys, S. S. L., and Demertzi, A., Intrinsic connectivity reduces in vestibular-related regions after first-time exposure to short-term gravitational alterations, Scientific Reports, vol. 7, no. 3061, 2017.PDF icon Download paper (3.47 MB)
T. B. A. de Carvalho, Sibaldo, M. A., Tsang, I. J., Cavalcanti, G. D. C., Sijbers, J., and Tsang, I. R., IntensityPatches and RegionPatches for Image Recognition, Applied Soft Computing, vol. 62, pp. 176-186, 2018.
D. Pelt, Gursoy, D., Palenstijn, W. J., Sijbers, J., De Carlo, F., and Batenburg, K. J., Integration of TomoPy and the ASTRA toolbox for advanced processing and reconstruction of tomographic synchrotron data, Journal of Synchrotron Radiation, vol. 23, pp. 842-849, 2016.
T. Van De Looverbosch, Jiaqi, H., Tempelaere, A., Kelchtermans, K., Verboven, P., Tuytelaars, T., Sijbers, J., and Nicolai, B., Inline nondestructive internal disorder detection in pear fruit using explainable deep anomaly detection on X-ray images, Computers and Electronics in Agriculture, vol. 197, no. 106962, pp. 1-14, 2022.
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.
N. Francken, Sanctorum, J., Sanctorum, J., Vanthienen, P. - J., Sijbers, J., and De Beenhouwer, J., Inline edge illumination X-ray phase contrast imaging through mask misalignment, Optics Express, In Press.
L. F. Alves Pereira, Janssens, E., Cavalcanti, G. D. C., Tsang, I. R., Van Dael, M., Verboven, P., Nicolai, B., and Sijbers, J., Inline Discrete Tomography system: application to agricultural product inspection, Computers and Electronics in Agriculture, vol. 138, pp. 117–126, 2017.
D. Van Dyck and Garcia, J., INFOTREE: A new generic method for supervised pattern, Pattern Recognition Letters, vol. 18, pp. 1211-1217, 1997.
T. Roine, Jeurissen, B., Perrone, D., Aelterman, J., Philips, W., Leemans, A., and Sijbers, J., Informed constrained spherical deconvolution (iCSD), Medical Image Analysis, vol. 24, no. 1, pp. 269–281, 2015.PDF icon Download accepted manuscript (987.95 KB)
P. M. Parizel, Van Rompaey, V., Loock, V. R., Van Hecke, W., Van Goethem, J., Leemans, A., and Sijbers, J., Influence of User-Defined Parameters on Diffusion Tensor Tractography of the Corticospinal Tract, The Neuroradiology Journal, pp. 139-147, 2007.
S. B. Vos, Jones, D. K., Jeurissen, B., Viergever, M. A., and Leemans, A., The influence of complex white matter architecture on the mean diffusivity in diffusion tensor MRI of the human brain, NeuroImage, vol. 59, no. 3, pp. 2208 - 2216, 2012.
U. Roine, Roine, T., Salmi, J., Nieminen-von Wendt, T., Leppämäki, S., Rintahaka, P., Tani, P., Leemans, A., and Sams, M., Increased coherence of white matter fiber tract organization in adults with Asperger syndrome: A diffusion tensor imaging study, Autism Research, vol. 6, no. 6, pp. 642-650, 2013.PDF icon Download paper (1.2 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.
J. Renders, Jeurissen, B., Nguyen, A. - T., De Beenhouwer, J., and Sijbers, J., ImWIP: open-source image warping toolbox with adjoints and derivatives, SoftwareX, vol. 24, p. 101524, 2023.PDF icon Download paper (1 MB)