Publications

Export 1337 results:
Author Type [ Year(Desc)]
2024
P. Paramonov, Sanctorum, J. G., Iuso, D., Sijbers, J., and De Beenhouwer, J., “High-resolution tiled X-ray cone-beam CT using the ASTRA toolbox”, in 13th Conference on Industrial Computed Tomography (iCT) 2024, School of Engineering, Wels Campus, Austria, 2024.PDF icon Download paper (532.89 KB)
J. Deng, Renders, J., Meenaketan, B. Linkoon P., Takalloo, S. Ebrahimi, Braeken, D., De Beenhouwer, J., and Sijbers, J., “Imaging Algorithm and Optimal Measurement Protocol for 3D Impedance Tomography on 2D High Density Micro Electrode Array”, IEEE Sensors, vol. 24, no. 15, pp. 24452-24465, 2024.
J. Renders, “Improved 4DCT reconstruction algorithms for the imaging of foam microstructure formation”, 2024.
N. Six, “Improved X-ray CT reconstruction techniques with non-linear imaging models”, 2024.
Z. Bnoulkacem, Koirala, B., and Scheunders, P., “Improving Spectral Unmixing Performance by Frequency Component Reduction”, in 2024 14th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2024, pp. 1-5.PDF icon improving_spectral_unmixing_performance_by_frequency_component_reduction.pdf (582.17 KB)
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, vol. 32, no. 18, pp. 32048-32061, 2024.PDF icon Download paper (1.69 MB)
N. Six, Renders, J., De Beenhouwer, J., and Sijbers, J., “Joint multi-contrast CT for edge illumination X-ray phase contrast imaging using split Barzilai-Borwein steps”, Optics Express, vol. 32, no. 2, pp. 1135-1150, 2024.PDF icon Download paper (13.42 MB)
J. Sijbers and den Dekker, A. J., “Longitudinal Magnetic Resonance Imaging Method”, U.S. Patent WO2024100240A12024.
J. Sijbers, Danckaers, F., and Osstyn, J., “Methods and systems for determining an anatomical reconstruction of a broken bone”, 2024.
A. - T. Nguyen, Renders, J., Iuso, D., Maris, Y., Soete, J., Wevers, M., Sijbers, J., and De Beenhouwer, J., “MIRT: a simultaneous reconstruction and affine motion compensation technique for four dimensional computed tomography (4DCT)”. arXiv.org e-Print archive, 2024.PDF icon siam_mirt.pdf (2.85 MB)
Q. Beirinckx, Bladt, P., van der Plas, M. C. E., van Osch, M. J. P., Jeurissen, B., den Dekker, A. J., and Sijbers, J., “Model-based super-resolution reconstruction for pseudo-continuous Arterial Spin Labeling”, NeuroImage, vol. 286, p. 120506, 2024.PDF icon Download paper (7.23 MB)PDF icon Download supplementary material (20.75 MB)
P. - J. Vanthienen, Francken, N., Sijbers, J., and De Beenhouwer, J., “Multi-resolution gratings for edge illumination x-ray phase contrast imaging: a simulation study”, in Developments in X-Ray Tomography XV, 2024, vol. 13152, p. 1315208.
X. Tao, Koirala, B., Plaza, A., and Scheunders, P., “A New Dual-Feature Fusion Network for Enhanced Hyperspectral Unmixing”, IEEE Transactions on Geoscience and Remote Sensing, pp. 1-1, 2024.PDF icon Download paper (2.13 MB)
B. Koirala, Rasti, B., Bnoulkacem, Z., and Scheunders, P., “Nonlinear Spectral Unmixing Using Bézier Surfaces”, IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-16, 2024.PDF icon Download paper (9.66 MB)
D. Iuso, Paramonov, P., De Beenhouwer, J., and Sijbers, J., “PACS: Projection-driven with Adaptive CADs X-ray Scatter compensation for additive manufacturing inspection”, Precision Engineering, vol. 90, pp. 108-121, 2024.PDF icon Download paper (4.28 MB)
D. Giraldo, Khan, H., Pineda, G., Liang, Z., Lozano, A., Van Mijweersch, B., Woodruff, H. C., Lambin, P., Romero, E., Peeters, L. M., and Sijbers, J., “Perceptual super-resolution in multiple sclerosis MRI”, Frontiers in Neuroscience, vol. 18, 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, vol. 43, 2024.PDF icon Download paper (6.94 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.
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)
J. Osstyn, Danckaers, F., Verstreken, A., Van Haver, A., Vanhees, M., and Sijbers, J., “Statistical shape model guided virtual reduction of displaced distal radius fractures”, in IEEE International Symposium on Biomedical Imaging, Athens, Greece, 2024, pp. 1-5.
B. Koirala, Rasti, B., and Scheunders, P., “A Supervised Approach for Estimating Fractional Abundances of Binary Intimate Mixtures”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, pp. 1-11, 2024.PDF icon Download paper (4.49 MB)
A. -yhuwertMurcia Tapias, Giraldo, D., and Romero, E., “Synthesizing fractional anisotropy maps from T1-weighted magnetic resonance images using a simplified generative adversarial network”, in Medical Imaging 2024: Clinical and Biomedical Imaging, 2024, vol. 12930, p. 129302P.
Q. Beirinckx, “Technological breakthroughs towards motion-robust super-resolution quantitative magnetic resonance imaging for improved detection of brain diseases”, University of Antwerp, 2024.PDF icon Download PhD Thesis (18.7 MB)
J. Grammens, Van Haver, A., Danckaers, F., Vuylsteke, K., Sijbers, J., Mahluf, L., Angele, P., Kon, E., and Verdonck, P., “Three-dimensional bone morphology is a risk factor for medial postmeniscectomy syndrome: A retrospective cohort study”, Journal of Experimental Orthopaedics, vol. 11, no. 3, p. e12090, 2024.
F. Schmidt, Koirala, B., and Andrieu, F., “Validation of abundance determination of granular mixture using radiative transfer and Bayesian MCMC”, EPSC2024. 2024.PDF icon exhibit_17_validation_of_abundance_determination_of_granular_mixture_using_radiative_transfer_and_bayesian_mcmc.pdf (977.09 KB)

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