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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)
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, 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., 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, 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.
K. Rafiezadeh Shahi, “Unsupervised machine/deep learning mapping (clustering) for single/multi-source remote sensing data ”, 2023.
J. Sijbers and Van Dyck, D., “Efficient algorithm for the computation of 3D Fourier descriptors”, in 1st International Symposium on 3D Data Processing Visualization and Transmission, Padua, Italy, 2002, pp. 640-643.
J. Sijbers, “Signal and noise estimation from magnetic resonance images ”, 1998.
J. Sijbers and Postnov, A., “Reduction of ring artifacts in high resolution micro-CT images”, in Advanced Concepts for Intelligent Vision Systems (ACIVS), Brussels, Belgium, 2004.
J. Sijbers, Raman, E., Van Audekerke, J., Malfliet, W., Van Der Linden, A., Verhoye, M., and Cloeck, C., “The construction of a gradient set”, in 4th Meeting of the FGWO/FRSM Contact Group Biomedical MR, Louvain-la-Neuve, Belgium, 1993, p. 5.
J. Sijbers and den Dekker, A. J., “Generalized likelihood Ratio tests for complex fMRI data: a simulation study”, IEEE Transactions on Medical Imaging, vol. 24, pp. 604-611, 2005.PDF icon Download paper (377.11 KB)
J. Sijbers, Verhoye, M., Scheunders, P., Van Der Linden, A., Van Audekerke, J., Van Dyck, D., and Raman, E., “Segmentation Scheme for Volume Quantization from 3D Microscopic MR images”, in Proceedings of the Joint Meeting NVvM & BVM, Gent, 1996, pp. 168-169.
J. Sijbers and De Beenhouwer, J., “Mobile imaging of an object using penetrating radiation”, U.S. Patent WO/2017/1783342017.
J. Sijbers, Verhoye, M., Scheunders, P., Van Der Linden, A., Van Dyck, D., and Raman, E., “Watershed based segmentation of 3D MR data for volume quantization”, Magnetic Resonance Imaging, vol. 15, pp. 679-688, 1997.PDF icon Download paper (3.18 MB)
J. Sijbers, Ceulemans, T., and Van Dyck, D., “Algorithm for the computation of 3D Fourier descriptors”, in 16th International Conference on Pattern Recognition, Quebec, Canada, 2002, pp. 790-793.PDF icon Download paper (665.86 KB)
J. Sijbers, “Estimation of Signal and Noise from Magnitude Magnetic Resonance Images”, 1998.PDF icon Download PhD thesis (3.5 MB)
J. Sijbers, Michiels, I., Verhoye, M., Van Audekerke, J., Van Der Linden, A., and Van Dyck, D., “Automatic, adaptive filter for MRI related artefacts in simultaneously recorded EEG/MRI data”, in Third Meeting Belgian Society for Neuroscience, 1999.
J. Sijbers, De Beenhouwer, J., Ling, Y. - T., and Vandervorst, W., “A reconstruction method for atom probe tomography”, U.S. Patent 180175752023.
J. Sijbers and den Dekker, A. J., “Construction of a likelihood ratio test for magnitude fMRI data”, in 19th Annual Symposium of the Belgian Hospital Physicists Association, 2004.
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)
J. Sijbers, den Dekker, A. J., Verhoye, M., Van Der Linden, A., and Van Dyck, D., “Adaptive anisotropic noise filtering for magnitude MR data”, in Proceedings of SPIE Medical Imaging, San Diego, USA, 1999, vol. 3661, pp. 1418-1425.
J. Sijbers, Van Audekerke, J., Verhoye, M., Van Der Linden, A., and Van Dyck, D., “Reduction of ECG and gradient related artifacts in simultaneously recorded human EEG/MRI data”, Magnetic Resonance Imaging, vol. 18, pp. 881-886, 2000.PDF icon Download paper (2 MB)
J. Sijbers and den Dekker, A. J., “The performance of generalized likelihood ratio tests for complex functional MRI data in the presence of phase model misspecification”, in European Society of Magnetic Resonance in Medicine (ESMRMB), Copenhagen, Denmark, 2004, p. 96.
J. Sijbers, den Dekker, A. J., Scheunders, P., Raman, E., and Van Dyck, D., “Unbiased signal estimation in magnitude MR images”, in Proceedings of the European Society for Magnetic Resonance in Medicine and Biology, Brussels, Belgium, 1997, vol. 2, p. 174.

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