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Conference Paper
G. Nagels, Vandervliet, E., Van Hecke, W., Engelborghs, S., hooghe, M. B. D., Cras, P., Parizel, P. M., and De Deyn, P. P., fMRI during PASAT and PVSAT in mild MS, moderate MS and normal volunteers., in 22nd Congress of the European Committee for, Madrid, Spain, 2006.
L. F. Alves Pereira, Janssens, E., Van Dael, M., Verboven, P., Nicolai, B., Cavalcanti, G. D. C., Tsang, I. J., and Sijbers, J., Fast X-ray Computed Tomography via Image Completion, in 6th Conference on Industrial Computed Tomography(iCT), Wels, Austria, 2016, pp. 1-5.
M. Nicastro, Jeurissen, B., Beirinckx, Q., Smekens, C., Poot, D. H. J., Sijbers, J., and den Dekker, A. J., Comparison of MR acquisition strategies for super-resolution reconstruction using the Bayesian Mean Squared Error, in International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2021.
M. Van Dael, Verboven, P., Van Hoorebeke, L., Sijbers, J., and Nicolai, B., Comparison of methods for online inspection of apple internal quality, in 7th Conference on Industrial Computed Tomography, Leuven, Belgium, 2017.PDF icon Download paper (815.39 KB)
E. Vandervliet, Nagels, G., Heinecke, A., Van Hecke, W., Leemans, A., Sijbers, J., and Parizel, P. M., On the cause and mechanisms of the negative BOLD response in fMRI, in 23rd Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology, Warsaw, Poland, 2006, p. 308.
D. Iuso, Nazemi, E., Six, N., De Samber, B., De Beenhouwer, J., and Sijbers, J., CAD-based scatter compensation for polychromatic reconstruction of additive manufactured parts, in IEEE ICIP, 2021, pp. 2948-2952.
V. Nguyen, De Beenhouwer, J., Bazrafkan, S., Hoang, A. - T., Van Wassenbergh, S., and Sijbers, J., BeadNet: a network for automated spherical marker detection in radiographs for geometry calibration, in 6th International Conference on Image Formation in X-Ray Computed Tomography, 2020, pp. 518-521.PDF icon Download paper (2.16 MB)
T. Nath, G.Liu,, Weyn, B., Hassan, B., De Backer, S., and Scheunders, P., Automated Social behaviour Recognition At Low Resolution, in 22nd IEEE - International Conference of Pattern Recognition (ICPR), 2014.
A. - T. Nguyen, Renders, J., Soete, J., Wevers, M., Sijbers, J., and De Beenhouwer, J., Analytic derivatives of scaling motion-compensated projection operators for dynamic computed tomography, in e-Journal of Nondestructive Testing, 2022, vol. 27 (3), pp. 1-5.
A. - T. Nguyen, Renders, J., Soete, J., Wevers, M., Sijbers, J., and De Beenhouwer, J., An accelerated motion-compensated iterative reconstruction technique for dynamic computed tomography, in Proc. SPIE 12242, Developments in X-Ray Tomography XIV, 122421F, San Diego, CA, United States, 2022.
W. Van Aarle, Van Gompel, G., Batenburg, K. J., Van de Casteele, E., and Sijbers, J., A 3-dimensional discrete tomography approach for superresolution micro-CT images: application to foams, in The first international conference on image formation in X-ray computed tomography, 2010, pp. 45-48.PDF icon Download full paper (816.87 KB)
Conference Abstract
N. J. Forde, Ellison-Wright, I., Nathan, P. J., Zaman, R., Dudas, R., Agius, M., Fernandez-Egea, E., Leemans, A., Jeurissen, B., Scanlon, C., McDonald, C., and Cannon, D. M., White Matter Tract Deficits in Schizophrenia, Neuroscience Ireland Conference, vol. 7. Dublin, Ireland, 2011.
Z. Wang, Rogge, S., Van Dael, M., Van Nieuwenhove, V., Verboven, P., Sijbers, J., and Nicolai, B., Understanding microstructural deformation of apple tissue from 4D micro-CT imaging, ISHS Symposium 2016: Sensing Plant Water Status - Methods and Applications in Horticultural Science. Potsdam, Germany, 5-7 October. 2016.
S. Van Aert, De Backer, A., De wael, A., Fatermans, J., E Irmak, A., Friedrich, T., Lobato, I., Jones, L., den Dekker, A. J., Nellist, P. D., and Bals, S., Strategies for quantifying the 3D atomic structure and the dynamics of nanomaterials using model-based STEM, Virtual MRS Spring/ Fall Meeting, Boston, United States (online). 2020.
S. Van Aert, De wael, A., Fatermans, J., Lobato, I., De Backer, A., Jones, L., den Dekker, A. J., and Nellist, P. D., Strategies for quantifying 3D atomic structures of nanomaterials and their dynamics using dose-efficient ADF STEM, PICO2019, Vaalsbroek, The Netherlands. 2019.
M. Nicastro, Jeurissen, B., Beirinckx, Q., Smekens, C., Poot, D. H. J., Sijbers, J., and den Dekker, A. J., Rotated or shifted sets of multi-slice MR images for super-resolution reconstruction? A Bayesian answer, Magn Reson Mater Phy (ESMRMB), vol. 34. pp. S56-S57, 2021.
B. Jeurissen, Naeyaert, M., Leemans, A., and Sijbers, J., Registration based correction of DWI gradient orientations, ISMRM, 19th Scientific Meeting and Exhibition. Montreal, Canada, 2011.
A. - T. Nguyen, Renders, J., Sijbers, J., and De Beenhouwer, J., Reconstruction with rigid motion correction technique in CT imaging: A simulation and application study, Workshop on Scientific Computing and Applications. Vietnam Institute for Advanced Study in Mathematics (VIASM), Hanoi, Vietnam, 2024.PDF icon wsca2024.pdf (110.08 KB)PDF icon wsca2024_slides.pdf (2.75 MB)
S. Van Aert, De wael, A., Fatermans, J., Lobato, I., De Backer, A., Jones, L., den Dekker, A. J., and Nellist, P. D., Quantifying 3D atomic structures of nanomaterials and their dynamics using model-based scanning transmission electron microscopy, Spring Meeting of the EMRS, Nice, France. 2019.
M. Siqueira Pinto, Winzeck, S., Richter, S., Correia, M. M., Kornaropoulos, E. N., Menon, D. K., Glocker, B., Guns, P. - J., den Dekker, A. J., Sijbers, J., Newcombe, V. F. J., and Van Dyck, P., Outcome prediction of mild traumatic brain injury using support vector machine based on longitudinal MRdiffusion imaging from CENTER-TBI, Magn Reson Mater Phy (ESMRMB), vol. 34. p. S54, 2021.
M. Siqueira Pinto, Winzeck, S., Correia, M. M., Kornaropoulos, E. N., Menon, D. K., Glocker, B., den Dekker, A. J., Sijbers, J., Guns, P. - J., Van Dyck, P., and Newcombe, V. F. J., Outcome prediction in Mild Traumatic Brain Injury patients using conventional and diffusion MRI via Support Vector Machine: A CENTER-TBI study, ISMRM & SMRT Annual Meeting. 2021.
M. Naeyaert, Aelterman, J., Van Audekerke, J., Claes, K., Van Der Linden, A., Sijbers, J., and Verhoye, M., Optimization of Compressed Sensing/RARE Combining Acquisition Schemes, European Society for Magnetic Resonance in Medicine and Biology, vol. 25, no. 1. pp. 513-514, 2012.
M. Nicastro, Beirinckx, Q., Bladt, P., Jeurissen, B., Klein, S., Sijbers, J., Poot, D. H. J., and den Dekker, A. J., Optimal design of a T1 super-resolution reconstruction experiment: a simulation study, 12th Annual Meeting of the ISMRM Benelux Chapter. 2020.PDF icon Download abstract (810.88 KB)
F. L. Wuyts, Jillings, S., Van Ombergen, A., Jeurissen, B., Tomilovskaya, E., Rumshiskaya, A., Litvinova, L., Nosikova, I., Pechenkova, E., Rukavishnikov, I., and others, Novel insight on effect and recovery of long-duration spaceflight on the ventricles of the space traveller's brain, Proceedings of the International Astronautical Congress, IAC, vol. 2019. International Astronautical Federation, p. IAC–19_A1_2_4_x51230, 2019.
J. Renders, Nguyen, A. - T., De Beenhouwer, J., and Sijbers, J., Motion compensating X-ray micro-CT of diamonds in a processing stage, 31st International Conference on Diamond and Carbon Materials. 2021.

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