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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 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, “Advances in biplanar X-ray imaging: calibration and 2D/3D registration”, 2022.PDF icon Download PhD thesis (8.02 MB)
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, 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.
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.
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)
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)
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.
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.
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.
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, “Strategies for efficient acquisition and reconstruction of structural and quantitative MRI”, 2021.
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, 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, 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.
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S. Mukunthan, Vleugels, J., Huysmans, T., Mayor, T. Sotto, and De Bruyne, G., “A 3D Printed Thermal Manikin Head for Evaluating Helmets for Convective and Radiative Heat Loss”, in Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) Volume VII, 2019, vol. VII, pp. 592–602.
S. Mukunthan, Vleugels, J., Huysmans, T., and De Bruyne, G., “Latent Heat Loss of a Virtual Thermal Manikin for Evaluating the Thermal Performance of Bicycle Helmets”, in Advances in Human Factors in Simulation and Modeling, Cham, 2019, pp. 66–78.
S. Mukunthan, Kuklane, K., Huysmans, T., and De Bruyne, G., “A Comparison Between Physical and Virtual Experiments of Convective Heat Transfer Between Head and Bicycle Helmet”, in 8th International Conference on Applied Human Factors and Ergonomics (AHFE 2017), Los Angeles, California, USA, 2017.
J. Morez, Sijbers, J., and Jeurissen, B., “Spherical Deconvolution of Non-Spherically Sampled Diffusion MRI Data”, Proc. Intl. Soc. Mag. Reson. Med. 25. p. 66, 2017.
J. Morez, Sijbers, J., and Jeurissen, B., “A comparison of response function tensor models for multi-tissue spherical deconvolution”, 36th Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine & Biology, Rotterdam, The Netherlands, vol. 32 (Suppl. 1). pp. S138–S139, 2019.

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