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P. Scheunders and De Backer, S., Wavelet-based enhancement of remote sensing and biomedical image series using an auxiliary image, in SPIE Optics East, 23-26 October, Boston, Massachusetts USA, 2005, vol. 6001, pp. 41-52.
P. Scheunders, Multiscale Edge Representation Applied to Image Fusion, in Proc. Wavelet Applications in Signal and Image Processing VIII, 2000, pp. 894-901.
P. Scheunders, Wavelet thresholding of multivalued images, IEEE Transactions on Image Processing, vol. 13, pp. 475-483, 2004.
P. Scheunders, A genetic Lloyd-Max image quantization algorithm, Pattern Recognition Letters, vol. 17, pp. 547-556, 1996.
F. Schmidt, Koirala, B., and Andrieu, F., Validation of abundance determination of granular mixture using radiative transfer and Bayesian MCMC, EPSC2024. 2024.PDF icon exhibit_17_validation_of_abundance_determination_of_granular_mixture_using_radiative_transfer_and_bayesian_mcmc.pdf (977.09 KB)
F. Schmidt, Koirala, B., and Andrieu, F., Determination of volumetric abundance of intimate mixture using Bayesian MCMC, IEEE Sensors Journal, pp. 1-1, 2024.PDF icon Download paper (2.8 MB)
H. Segers, Palenstijn, W. J., Batenburg, K. J., and Sijbers, J., Discrete Tomography in MRI: a Simulation Study, Fundamenta Informaticae, vol. 125, no. 3-4, pp. 223-237, 2013.
H. Segers, Palenstijn, W. J., Batenburg, K. J., and Sijbers, J., Segmentation of MR Images by k-space distance minimization: a proof of concept, ESMRMB CONGRESS 2012: 29th Annual Scientific Meeting, vol. 25, no. 1. pp. 63-64, 2012.PDF icon Download abstract (221.41 KB)
H. Segers, Palenstijn, W. J., Batenburg, K. J., and Sijbers, J., Discrete Tomography in MRI: a proof of concept, Proc. Intl. Soc. Mag. Reson. Med, vol. 21. p. 2662, 2013.
S. Sekar, Jonckers, E., Verhoye, M., Willems, R., Veraart, J., Van Audekerke, J., Couto, J., Giugliano, M., Wuyts, K., Dedeurwaerdere, S., Sijbers, J., Mackie, C., Ver Donck, L., Steckler, T., and Van Der Linden, A., Subchronic memantine induced concurrent functional disconnectivity and altered ultra-structural tissue integrity in the rodent brain: revealed by multimodal MRI., Psychopharmacology, vol. 227, no. 3, pp. 479-91, 2013.
L. Serbruyns, Leunissen, I., Huysmans, T., Cuypers, K., Meesen, R. L., van Ruitenbeek, P., Sijbers, J., and Swinnen, S. P., Subcortical volumetric changes across the adult lifespan: subregional thalamic atrophy accounts for age-related sensorimotor performance declines, Cortex, vol. 65, pp. 128-138, 2015.PDF icon paper (1.35 MB)
B. Shafieizargar, Jeurissen, B., den Dekker, A. J., and Sijbers, J., Joint estimation of phase and diffusion tensor parameters from multi-shot k-q-space data: a proof of concept, ISMRM-Benelux, vol. 12. 2020.
B. Shafieizargar, Jeurissen, B., den Dekker, A. J., and Sijbers, J., Joint estimation of phase and diffusion tensor parameters from multi-shot k-q-space data: a proof of concept, International Society for Magnetic Resonance in Medicine (ISMRM), vol. 28. 2020.
B. Shafieizargar, Byanju, R., Sijbers, J., Klein, S., den Dekker, A. J., and Poot, D. H. J., Systematic review of reconstruction techniques for accelerated quantitative MRI, Magnetic Resonance in Medicine, vol. 90, no. 3, pp. 1172-1208, 2023.PDF icon Download paper (2.91 MB)
B. Shafieizargar, Jeurissen, B., Poot, D. H. J., den Dekker, A. J., and Sijbers, J., Multi-contrast multi-shot EPI for accelerated diffusion MRI, in 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2021, pp. 3869-3872.
B. Shafieizargar, Jeurissen, B., Poot, D. H. J., Van Audekerke, J., Verhoye, M., den Dekker, A. J., and Sijbers, J., Accelerated multi-shot diffusion weighted imaging with joint estimation of diffusion and phase parameters, Magn Reson Mater Phy, vol. 34. pp. S57-S58, 2021.
B. Shafieizargar, Jeurissen, B., Poot, D. H. J., Klein, S., Van Audekerke, J., Verhoye, M., den Dekker, A. J., and Sijbers, J., ADEPT: Accurate Diffusion EPI with multi-contrast shoTs, Magnetic Resonance in Medicine, vol. 89, no. 1, pp. 396-410, 2023.PDF icon Download paper (5.82 MB)
K. Rafiezadeh Shahi, Unsupervised machine/deep learning mapping (clustering) for single/multi-source remote sensing data , 2023.
J. Sijbers and den Dekker, A. J., Mapping a polyhedron onto a sphere: application to Fourier descriptors, in 22nd Benelux Meeting on Systems and Control, Lommel, Belgium, 2003.
J. Sijbers, Michiels, I., Van Audekerke, J., Verhoye, M., Van Der Linden, A., and Van Dyck, D., Restoration of EEG signals distorted during simultaneous MR acquisitions, in Proceedings of the International Society of Magnetic Resonance in Medicine, Denver CO, USA, 2000, p. 118.
J. Sijbers and Postnov, A., Reduction of ring artifacts in high resolution micro-CT reconstructions, Physics in Medicine and Biology, vol. 49, pp. 247-253, 2004.
J. Sijbers, Scheunders, P., Van Dyck, D., and Raman, E., Noise quantification prior to image restoration, in Meeting of the Dutch Society for Pattern Recognition and Image Processing, Best, The Netherlands, 1997.
J. Sijbers, Poot, D. H. J., den Dekker, A. J., and Pintjens, W., Automatic estimation of the noise variance from the histogram of a magnetic resonance image, Physics in Medicine and Biology, vol. 52, pp. 1335-1348, 2007.PDF icon Download paper (297.18 KB)
J. Sijbers, den Dekker, A. J., Scheunders, P., and Van Dyck, D., Maximum Likelihood estimation of Rician distribution parameters, IEEE Transactions on Medical Imaging, vol. 17, pp. 357-361, 1998.PDF icon Download paper (106.26 KB)
J. Sijbers, Scheunders, P., Van Dyck, D., and Raman, E., Proceedings of the Royal Microscopical Society, in Optimization of the SNR in NMR images using image sequences, London, UK, 1994, vol. 29, p. 232.

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