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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.
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)
K. Rafiezadeh Shahi, “Unsupervised machine/deep learning mapping (clustering) for single/multi-source remote sensing data ”, 2023.
J. Sijbers and Van Der Linden, A., “Magnetic Resonance Imaging, In: Encyclopedia of Optical Engineering”, Marcel Dekker, 2003, pp. 1237-1258.
J. Sijbers, Van Camp, N., Leemans, A., den Dekker, A. J., Verhoye, M., and Van Der Linden, A., “Coregistration of Micro-MRI, microCT and microPET”, in Workshop on non Invasive 3D Microscopy, University of Antwerp, Belgium, 2004, p. 16.
J. Sijbers, Michiels, I., Van Audekerke, J., Verhoye, M., and Van Der Linden, A., “Automatic EEG signal restoration during simultaneous EEG/MR acquisitions”, in SPIE Medical Imaging: Image Processing, San Diego, California, USA, 2000, vol. 3979, pp. 1482-1491.
J. Sijbers, Van Der Linden, A., Scheunders, P., Van Audekerke, J., Raman, E., and Van Dyck, D., “Semi-automatic mouse cerebellum extraction from 3D magnetic resonance data”, in Proceedings of the International Society for Magnetic Resonance in Medicine, New York, USA, 1996, vol. 3, p. 1585.
J. Sijbers and den Dekker, A. J., “Generalized likelihood ratio test for complex fMRI data”, in SPIE Medical Imaging: Physiology, Function, and Structure from Medical Images, San Diego, California, USA, 2004, vol. 5369, pp. 652-663.PDF icon Download full paper (251.15 KB)
J. Sijbers, den Dekker, A. J., and Bos, R., “A likelihood ratio test for functional MRI data analysis to account for colored noise”, Lecture Notes in Computer Science, vol. 3708, pp. 538-546, 2005.PDF icon Download full paper (483.15 KB)
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, den Dekker, A. J., Raman, E., and Van Dyck, D., “Parameter estimation from magnitude MR images”, International Journal of Imaging Systems and Technology, vol. 10, pp. 109-114, 1999.PDF icon Download paper (350.44 KB)
J. Sijbers, “Signal and noise estimation from magnetic resonance images ”, 1998.
J. Sijbers, Vanrumste, B., Van Hoey, G., Boon, P., Verhoye, M., Van Der Linden, A., and Van Dyck, D., “Automatic localization of EEG electrode markers within 3D MR data”, Magnetic Resonance Imaging, vol. 18, pp. 485-488, 2000.PDF icon Download paper (178.74 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 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 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, “Estimation of Signal and Noise from Magnitude Magnetic Resonance Images”, 1998.PDF icon Download PhD thesis (3.5 MB)
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, 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)

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