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M. Naeyaert, Aelterman, J., Golkov, V., Cremers, D., Pizurica, A., Sijbers, J., and Verhoye, M., “Accelerating in vivo fast spin echo high angular resolution diffusion imaging with an isotropic resolution in mice through compressed sensing”, Magnetic Resonance in Medicine, vol. 85, no. 3, pp. 1397-1413, 2021.
M. Naeyaert, Roose, D., Mai, Z., Keliris, A. J., Sijbers, J., Van Der Linden, A., and Verhoye, M., “Normalized Averaged Range (nAR), a Robust Quantification Method for MPIO-content”, Journal of Magnetic Resonance, vol. 300, pp. 18-27, 2019.
M. Naeyaert, Golkov, V., Cremers, D., Sijbers, J., and Verhoye, M., “Faster and better HARDI using FSE and holistic reconstruction”, International Society for Magnetic Resonance in Medicine (ISMRM) 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. Naeyaert, “Strategies for efficient acquisition and reconstruction of structural and quantitative MRI”, 2021.
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.
J. Nam, Mysore, G. J., Ganseman, J., Lee, K., and Abel, J. S., “A super-resolution spectrogram using coupled PLCA”, in INTERSPEECH, Makuhari, Japan, 2010, pp. 1696-1699.
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.
T. Nath, Liu, G., Weyn, B., Hassan, B., De Backer, S., and Scheunders, P., “Tracking for Quantifying Social Network of Drosophila Melanogaster”, in 15th Computer Analysis of Images and Patterns (CAIP), 2013, vol. 8048, pp. 539–545.
M. Nauwynck, Bazrafkan, S., Van Heteren, A., De Beenhouwer, J., and Sijbers, J., “Ring Artifact Reduction in Sinogram Space Using Deep Learning”, in 6th International Conference on Image Formation in X-Ray Computed Tomography, 2020.PDF icon Download paper (2.49 MB)
E. Nazemi, Six, N., Iuso, D., De Samber, B., Sijbers, J., and De Beenhouwer, J., “Monte-Carlo-Based Estimation of the X-ray Energy Spectrum for CT Artifact Reduction”, Applied Sciences, vol. 11, no. 7, 2021.PDF icon Download paper (4.96 MB)
Z. H. Nezhad, Karami, A., Heylen, R., and Scheunders, P., “Superresolution Of Hyperspectral Images Using Spectral Unmixing And Sparse Regularization”, in IGARSS 2016, Beijing China, 2016.
Z. H. Nezhad, Karami, A., Heylen, R., and Scheunders, P., “Fusion of Hyperspectral and Multispectral Images Using Spectral Unmixing and Sparse Coding”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9, no. 6, pp. 2377-2389, 2016.
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)
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 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)
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, “Building forest and rice monitoring systems using artificial intelligence and multi-time series data analysis”, Viettel Group, Hanoi, Vietnam, 2019.
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., 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.
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.
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, “Advances in biplanar X-ray imaging: calibration and 2D/3D registration”, 2022.PDF icon Download PhD thesis (8.02 MB)

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