Publications

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P. Paramonov, Renders, J., Elberfeld, T., De Beenhouwer, J., and Sijbers, J., “Efficient X-ray projection of triangular meshes based on ray tracing and rasterization”, in SPIE Optical Engineering: Developments in X-Ray Tomography XIV , 2022, vol. 12242, p. 122420W .PDF icon Download paper (1.72 MB)
P. Paramonov, Lumbeeck, L. - P., Sijbers, J., and De Beenhouwer, J., “A study of terahertz beam simulation with ray tracing for computed tomography”, in 2021 OSA Imaging and Applied Optics Congress, 2021.
R. Paolella, de la Rosa, E., Sima, D. M., Dive, D., Durand-Dubief, F., Sappey-Marinier, D., Jeurissen, B., Sijbers, J., and Billiet, T., “Decoding Multiple Sclerosis EDSS disability scores from MRI using Deep Learning”, 38th Annual Scientific Meeting Congress of the European Society for Magnetic Resonance in Medicine and Biology, vol. 34. pp. S57-S58, 2021.
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. J. Palenstijn, Batenburg, K. J., and Sijbers, J., “The ASTRA Tomography Toolbox”, in 13th International Conference on Computational and Mathematical Methods in Science and Engineering, CMMSE 2013, 2013, vol. 4, pp. 1139-1145.PDF icon cmmse2013.pdf (174.19 KB)
W. J. Palenstijn, Bédorf, J., Sijbers, J., and Batenburg, K. J., “A distributed ASTRA Toolbox”, Advanced Structural and Chemical Imaging, vol. 2, no. 19, 2016.PDF icon Download paper (2.7 MB)
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M. Ouwendijk, Slingerland, N., van Nistelrooij, J., Huysmans, T., Van de Casteele, E., Van Glabbeek, F., Meermans, G., and Verstreken, F., “Screw fixation of simulated scaphoid waist fractures: a biomechanical comparison of two screw lengths.”, European Federation of National Associatinos of Orthopaedics and Traumatology (EFORT), 18th ANNUAL CONGRESS, VIENNA, AUSTRIA. 2017.
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.
J. Osstyn, Danckaers, F., Van Haver, A., Oramas, J., Vanhees, M., and Sijbers, J., “Automated virtual reduction of displaced distal radius fractures”, in IEEE International Symposium on Biomedical Imaging, Cartagena, Colombia, 2023, pp. 1-4.
W. S. Oliveira, Teixeira, J. V., Tsang, I. R., Cavalcanti, G. D. C., and Sijbers, J., “Unsupervised Retinal Vessel Segmentation Using Combined Filters”, Plos One, vol. 11, pp. 1-21, 2016.
G. A. Pabon Ochoa, Giraldo, D., and Romero, E., “Exploring anatomical brain heterogeneity in subjects with mild cognitive impairment”, in 2023 19th International Symposium on Medical Information Processing and Analysis (SIPAIM), 2023, pp. 1-5.
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M. Nicastro and Siqueira Pinto, M., “BQ-MINDED: Introducing Quantitative MRI in routine clinical practice”, Marie Curie Alumni Association Annual Conference. 2019.PDF icon Download abstract (2.21 MB)
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.
M. Nicastro, Jeurissen, B., Beirinckx, Q., Smekens, C., Poot, D. H. J., Sijbers, J., and den Dekker, A. J., “To shift or to rotate? Comparison of acquisition strategies for multi-slice super-resolution magnetic resonance imaging”, Frontiers in Neuroscience, pp. 1-18, 2022.PDF icon Download paper (5.96 MB)
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)
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.
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.
V. Nguyen, De Beenhouwer, J., Sanctorum, J., Van Wassenbergh, S., Bazrafkan, S., Dirckx, J. J. J., and Sijbers, J., “A low-cost geometry calibration procedure for a modular cone-beam X-ray CT system”, Nondestructive Testing and Evaluation , vol. 35, no. 3, pp. 252-265, 2020.
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.
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)
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)
H. Q. Nguyen, Nguyen, B. T., Dong, T. Q., Ngo, D. T., and Nguyen, A. - T., “Deep Q-Learning with Multiband Sensing for Dynamic Spectrum Access”, in IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN), Seoul, Korea, 2018.
A. - T. Nguyen, “Signal compression using compressed sensing and best k-term approximation: An overview”, Viettel R&D Institute, Hanoi, Vietnam, 2018.PDF icon csbkta.pdf (636.54 KB)
A. - T. Nguyen, “Building forest and rice monitoring systems using artificial intelligence and multi-time series data analysis”, Viettel Group, Hanoi, Vietnam, 2019.
A. - T. Nguyen, Renders, J., Sijbers, J., and De Beenhouwer, J., “Region-based motion-compensated iterative reconstruction technique for dynamic computed tomography”, in IEEE International Symposium on Biomedical Imaging (ISBI), Cartagena de Indias, Colombia, 2023.

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