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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, Szczepankiewicz, F., den Dekker, A. J., Vanhevel, F., Sijbers, J., and Jeurissen, B., Optimal experimental design and estimation for q-space trajectory imaging, Human Brain Mapping, vol. 44, no. 4, pp. 1793-1809, 2023.PDF icon Download paper (5.87 MB)
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.
J. Morez, Sijbers, J., Vanhevel, F., and Jeurissen, B., Constrained spherical deconvolution of non-spherically sampled diffusion MRI data, Human Brain Mapping, vol. 42, pp. 521–538, 2020.PDF icon Download paper (5.87 MB)
J. Morez, Sijbers, J., and Jeurissen, B., Optimal experimental design for multi-tissue spherical deconvolution of diffusion MRI, Proc Intl Soc Mag Reson Med 28. p. 4321, 2020.
J. Morez, Sijbers, J., and Jeurissen, B., Spherical Deconvolution of Non-Spherically Sampled Diffusion MRI Data, International Society for Magnetic Resonance in Medicine. 2017.
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.
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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.
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, 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., 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., 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.

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