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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)
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)
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, 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)
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)
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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. 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., 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, 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, 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)
A. - T. Nguyen and Tran, H., An optimal control approach for the treatment of hepatitis C patients. arXiv.org e-Print archive, 2023.PDF icon hcv.pdf (427.16 KB)
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)
V. Nguyen, Advances in biplanar X-ray imaging: calibration and 2D/3D registration, 2022.PDF icon Download PhD thesis (8.02 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.
V. Nguyen, De Beenhouwer, J., Sanctorum, J., Van Wassenbergh, S., Aerts, P., Dirckx, J. J. J., and Sijbers, J., A low-cost and easy-to-use phantom for cone-beam geometry calibration of a tomographic X-ray system, in 9th Conference on Industrial Computed Tomography, Padova, Italy, 2019.PDF icon Download paper (1.93 MB)
V. Nguyen, Alves Pereira, L. F., Liang, Z., Mielke, F., Van Houtte, J., Sijbers, J., and De Beenhouwer, J., Automatic landmark detection and mapping for 2D/3D registration with BoneNet, Frontiers Veterinary Science, 2022.PDF icon Download paper (2.51 MB)
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)
V. Nguyen, Sanctorum, J., Van Wassenbergh, S., Dirckx, J. J. J., Sijbers, J., and De Beenhouwer, J., Geometry Calibration of a Modular Stereo Cone-Beam X-ray CT System, Journal of Imaging, vol. 7, no. 54, pp. 1-12, 2021.PDF icon Download paper (4.2 MB)
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.

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