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J. Sijbers, Michiels, I., Verhoye, M., Van Audekerke, J., Van Der Linden, A., and Van Dyck, D., Restoration of MR induced artifacts in simultaneously recorded MR/EEG data, Magnetic Resonance Imaging, vol. 17, pp. 1383-1393, 1999.PDF icon Download paper (1.09 MB)
M. Siqueira Pinto, Paolella, R., Billiet, T., Van Dyck, P., Guns, P. - J., Jeurissen, B., Ribbens, A., den Dekker, A. J., and Sijbers, J., Harmonisation of Brain Diffusion MRI: Concepts and Methods, Frontiers in Neuroscience , vol. 14, pp. 1-17, 2020.PDF icon Download paper (2.61 MB)
M. Siqueira Pinto, Winzeck, S., Kornaropoulos, E. N., Richter, S., Paolella, R., Correia, M. M., Glocker, B., Williams, G., Vik, A., Posti, J., Håberg, A. Kristine, Stenberg, J., Guns, P. - J., den Dekker, A. J., Menon, D. K., Sijbers, J., Van Dyck, P., and Newcombe, V. F. J., Use of support vector machines approach via ComBat harmonized diffusion tensor imaging for the diagnosis and prognosis of mild traumatic brain injury: a CENTER-TBI study, Journal of Neurotrauma, vol. 40, no. 13-14, pp. 1317-1338, 2023.
N. Six, De Beenhouwer, J., and Sijbers, J., poly-DART: A discrete algebraic reconstruction technique for polychromatic X-ray CT, Optics Express, vol. 27, no. 23, pp. 33427-33435, 2019.PDF icon Download paper (997.08 KB)
N. Six, Renders, J., De Beenhouwer, J., and Sijbers, J., Joint multi-contrast CT for edge illumination X-ray phase contrast imaging using split Barzilai-Borwein steps, Optics Express, vol. 32, no. 2, pp. 1135-1150, 2024.PDF icon Download paper (13.42 MB)
N. Six, Renders, J., Sijbers, J., and De Beenhouwer, J., Gauss-Newton-Krylov for Reconstruction of Polychromatic X-ray CT Images, IEEE Transactions on Computational Imaging, vol. 7, pp. 1304-1313, 2021.
B. de Smit, McClure, M., Palenstijn, W. J., Sparling, I. E., and Wagon, S., Through the Looking-Glass, and What the Quadratic Camera Found There, The Mathematical Intelligencer, vol. 34, no. 3, pp. 30 - 34, 2012.
A. Smolders, Martino, D. F., Staeren, N., Scheunders, P., Sijbers, J., Goebel, R., and Formisano, E., Dissecting cognitive stages with time-resolved fMRI data: a comparison of fuzzy clustering and independent component analysis, Magnetic Resonance Imaging, vol. 25, pp. 860-868, 2007.PDF icon Download paper (658.36 KB)
J. Soons, Danckaers, F., Keustermans, W., Huysmans, T., Sijbers, J., Casselman, J. W., and Dirckx, J. J. J., 3D morphometric analysis of the human incudomallear complex using clinical cone-beam CT, Hearing research, vol. 340, pp. 79-88, 2016.
K. Stanković, Huysmans, T., Danckaers, F., Sijbers, J., and Booth, B. G., Subject-specific identification of three dimensional foot shape deviations using statistical shape analysis, Expert Systems With Applications, vol. 151, no. 113372, pp. 1-11, 2020.
K. Stanković, Booth, B. G., Danckaers, F., Burg, F., Vermaelen, P., Duerinck, S., Sijbers, J., and Huysmans, T., Three-dimensional quantitative analysis of healthy foot shape: a proof of concept study, Journal of Foot and Ankle Research, vol. 11, no. 8, pp. 1-13, 2018.PDF icon Download paper (2.24 MB)
H. Struyfs, Van Hecke, W., Veraart, J., Sijbers, J., Slaets, S., De Belder, M., Wuyts, L., Peters, B., Sleegers, K., Robberecht, C., Van Broeckhoven, C., De Belder, F., Parizel, P. M., and Engelborghs, S., Diffusion Kurtosis Imaging: a possible MRI biomarker for AD diagnosis?, Journal of Alzheimer’s Disease, vol. 48, pp. 937-948, 2015.PDF icon Download paper (374.95 KB)
P. V. Sudeep, Palanisamy, P., Kesavadas, C., Sijbers, J., den Dekker, A. J., and Rajan, J., A nonlocal maximum likelihood estimation method for enhancing magnetic resonance phase maps, Signal Image and Video Processing, vol. 11, no. 5, pp. 913-920, 2017.
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F. Tajdari, Huysmans, T., Yang, Y., and Song, Y., Feature preserving non-rigid iterative weighted closest point and semi-curvature registration, IEEE Transactions on Image Processing, 2022.
C. M. W. Tax, Jeurissen, B., Vos, S. B., Viergever, M. A., and Leemans, A., Recursive calibration of the fiber response function for spherical deconvolution of diffusion MRI data., NeuroImage, vol. 86, pp. 67-80, 2014.
G. Thoonen, Spanhove, T., Vanden Borre, J., and Scheunders, P., Classification of heathland vegetation in a hierarchical contextual framework, International Journal of Remote Sensing, vol. 34, no. 1, pp. 96 - 111, 2013.
G. Thoonen, Hufkens, K., Vanden Borre, J., Spanhove, T., and Scheunders, P., Accuracy assessment of contextual classification results for vegetation mapping, International Journal of Applied Earth Observation and Geoinformation, vol. 15, pp. 7 - 15, 2012.
G. Thoonen, Mahmood, Z., Peeters, S., and Scheunders, P., Multisource classification of color and hyperspectral images using color attribute profiles and composite decision fusion, Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of, vol. 5, pp. 510 - 521, 2012.
G. Thoonen, Nys, B., Haegen, V. Y., Roy, D. G., and Scheunders, P., Automatic forensic analysis of automotive paints using optical microscopy, Forensic Science International, vol. 259, pp. 210-220, 2016.
L. Tits, Heylen, R., Somers, B., Scheunders, P., and Coppin, P., A geometric unmixing concept for the selection of optimal binary endmember combinations, IEEE Geoscience and Remote Sensing letters, vol. 12, pp. 82-86, 2015.
J. - D. Tournier, Smith, R., Raffelt, D., Tabbara, R., Dhollander, T., Pietsch, M., Christiaens, D., Jeurissen, B., Yeh, C. - H., and Connelly, A., MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation., Neuroimage, p. 116137, 2019.
I. J. Tsang, Tsang, I. R., and Van Dyck, D., Image processing using neighbourhood coding, Pattern Recognition Letters, vol. 20, pp. 1279-1286, 1999.
I. R. Tsang and Tsang, I. J., Cluster size diversity, percolation, and complex systems, Physical Review E, vol. 60, pp. 2684-2698, 1999.
I. J. Tsang, Tsang, I. R., De Boeck, B., and Van Dyck, D., Scaling and critical probability for cluster size and lattice animals diversity on randomly occupied square lattices, Journal of Physics A: Mathematical and General, vol. 33, pp. 2739-2754, 2000.

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