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Journal Article
J. Sijbers, Scheunders, P., Bonnet, N., Van Dyck, D., and Raman, E., Quantification and improvement of the signal-to-noise ratio in a magnetic resonance image acquisition procedure, Magnetic Resonance Imaging, vol. 14, pp. 1157-1163, 1996.PDF icon Download paper (1.31 MB)
M. Roshani, Phan, G., Faraj, R. Hassan, Phan, N. - H., Roshani, G. Hossein, Corniani, E., and Nazemi, E., Proposing a gamma radiation based intelligent system for simultaneous analyzing and detecting type and amount of petroleum by-products, Nuclear Engineering and Technology, 2020.PDF icon 1-s2.0-s1738573320308779-main.pdf (1.38 MB)
S. Jillings, Pechenkova, E. V., Tomilovskaya, E., Rukavishnikov, I., Jeurissen, B., Van Ombergen, A., Nosikova, I., Rumshiskaya, A., Litvinova, L., Annen, J., De Laet, C., Schoenmaekers, C., Sijbers, J., Petrovichev, V., Sunaert, S., Parizel, P. M., Sinitsyn, V., P Eulenburg, zu, Laureys, S. S. L., Demertzi, A., and Wuyts, F. L., Prolonged microgravity induces reversible and persistent changes on human cerebral connectivity, Communications Biology, vol. 6, no. 46, 2023.
J. Sanctorum, Van Wassenbergh, S., Nguyen, V., De Beenhouwer, J., Sijbers, J., and Dirckx, J. J. J., Projection-angle-dependent distortion correction in high-speed image-intensifier-based x-ray computed tomography, Measurement Science and Technology, vol. 32, no. 035404, pp. 1-11, 2021.
D. Lacko, Huysmans, T., Vleugels, J., De Bruyne, G., Van Hulle, M. M., Sijbers, J., and Verwulgen, S., Product sizing with 3D anthropometry and k-medoids clustering, Computer-Aided Design, vol. 91, pp. 60-74, 2017.
M. Yosifov, Reiter, M., Heupl, S., Gusenbauer, C., Fröhler, B., R. Gutierrez, F. -, De Beenhouwer, J., Sijbers, J., Kastner, J., and Heinzl, C., Probability of Detection applied to X-ray inspection using numerical simulations, Nondestructive Testing and Evaluation, vol. 37, no. 5, pp. 536-551, 2022.
B. Jeurissen, Leemans, A., Jones, D. K., Tournier, J. - D., and Sijbers, J., Probabilistic fiber tracking using the residual bootstrap with constrained spherical deconvolution, Human Brain Mapping, vol. 32, no. 3, pp. 461 - 479, 2011.
S. Huijs, Huysmans, T., De Jong, A., Arnout, N., Sijbers, J., and Bellemans, J., Principal component analysis as a tool for determining optimal tibial baseplate geometry in modern TKA design, Acta Orthop Belg, vol. 84, no. 4, pp. 452-460, 2018.
A. Könik, Auer, B., De Beenhouwer, J., Kalluri, K., Zeraatkar, N., Furenlid, L. R., and King, M. A., Primary, scatter, and penetration characterizations of parallel-hole and pinhole collimators for I-123 SPECT, Physics in Medicine & Biology, vol. 64, no. 24, p. 245001, 2019.PDF icon i123_spectra_final_revision_11_7_19.pdf (7.63 MB)
M. A. Zampini, Sijbers, J., Verhoye, M., and Garipov, R., A preparation pulse for fast steady state approach in Actual Flip angle Imaging, Medical Physics, vol. 51, no. 1, pp. 306-318, 2024.
D. Iuso, Paramonov, P., De Beenhouwer, J., and Sijbers, J., Practical multi-mesh registration for few-view poly-chromatic X-ray inspection, Journal of Non-destructive Testing, In Press.
F. Danckaers, Huysmans, T., Hallemans, A., De Bruyne, G., Truijen, S., and Sijbers, J., Posture normalization of 3D body scans, Ergonomics, vol. 62, no. 6, pp. 834-848, 2019.PDF icon Download paper (5.03 MB)
G. Van Eyndhoven, Kurttepeli, M., Van Oers, C. J., Cool, P., Bals, S., Batenburg, K. J., and Sijbers, J., Pore REconstruction and Segmentation (PORES) method for improved porosity quantification of nanoporous materials, Ultramicroscopy, vol. 148, pp. 10-19, 2015.
J. Veraart, Leergaard, T. B., Antonsen, B. T., Van Hecke, W., Blockx, I., Jeurissen, B., Jiang, Y., Van Der Linden, A., Johnson, A. G., Verhoye, M., and Sijbers, J., Population-averaged diffusion tensor imaging atlas of the Sprague Dawley rat brain, NeuroImage, vol. 58, no. 4, pp. 975-983, 2011.
N. Six, De Beenhouwer, J., and Sijbers, J., poly-DART: A discrete algebraic reconstruction technique for polychromatic X-ray CT, Optics Express, vol. 27, no. 23, pp. 33427-33435, 2019.PDF icon Download paper (997.08 KB)
W. J. Palenstijn, Batenburg, K. J., and Sijbers, J., Performance improvements for iterative electron tomography reconstruction using graphics processing units (GPUs), Journal of structural biology, vol. 176, no. 2, pp. 250-253, 2011.PDF icon Download paper (527.21 KB)
W. D'haes, Van Dyck, D., and Rodet, X., PCA-based Branch and Bound Search Algorithms for Computing K Nearest Neighbors, Pattern Recognition Letters, vol. 24, pp. 1437-1451, 2003.
G. Ramos-Llordén, den Dekker, A. J., and Sijbers, J., Partial Discreteness: a Novel Prior for Magnetic Resonance Image Reconstruction, IEEE Transactions on Medical Imaging, vol. 36, no. 5, pp. 1041 - 1053, 2017.PDF icon Download paper (3.72 MB)
T. Elberfeld, De Beenhouwer, J., den Dekker, A. J., Heinzl, C., and Sijbers, J., Parametric Reconstruction of Glass Fiber-reinforced Polymer Composites from X-ray Projection Data - A Simulation Study, Journal of Nondestructive Evaluation, vol. 37, no. 62, pp. 1573-4862, 2018.
T. Huysmans, Sijbers, J., and Verdonk, B., Parameterization of tubular surfaces on the cylinder, Journal of the Winter School of Computer Graphics, vol. 13, pp. 97-104, 2005.PDF icon Download paper (798.29 KB)
J. Sijbers, den Dekker, A. J., Raman, E., and Van Dyck, D., Parameter estimation from magnitude MR images, International Journal of Imaging Systems and Technology, vol. 10, pp. 109-114, 1999.PDF icon Download paper (350.44 KB)
B. G. Booth, Hoefnagels, E., Huysmans, T., Sijbers, J., and Keijsers, N. L. W., PAPPI: Personalized analysis of plantar pressure images using statistical modelling and parametric mapping, PlosOne, vol. 15, no. 2, p. e0229685, 2020.
J. Kenney, McInerney, S., McPhilemy, G., Najt, P., Scanlon, C., Arndt, S., Scherz, E., Byrne, F., Leemans, A., Jeurissen, B., Donohoe, G., Hallahan, B., McDonald, C., and Cannon, D., P. 3.033 Lateralisation of the arcuate fasciculus in psychosis & the role in verbal learning & auditory verbal hallucinations, European Neuropsychopharmacology, vol. 26, no. 1, pp. S76–S77, 2016.
B. G. Booth, Keijsers, N. L. W., and Sijbers, J., Outlier detection for foot complaint diagnosis: modeling confounding factors using metric learning, IEEE Intelligent Systems, vol. 36, no. 3, pp. 41-49, 2021.
H. E. Bortier, Bernat, A., Huysmans, T., Van Glabbeek, F., Sijbers, J., Pinho, R., Gielen, J., and Hubens, G., Osteologic exploration of the clavicle: a new approach, The FASEB Journal, vol. 23, 2009.

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