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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.
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 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 and den Dekker, A. J., Maximum Likelihood estimation of signal amplitude and noise variance from MR data, Magnetic Resonance in Medicine, vol. 51, pp. 586-594, 2004.PDF icon Download full paper (295.12 KB)
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, den Dekker, A. J., Poot, D. H. J., Bos, R., Verhoye, M., Van Camp, N., and Van Der Linden, A., Robust estimation of the noise variance from background MR data, in Proceedings of SPIE Medical Imaging: Image Processing, San Diego, CA, USA, 2006, vol. 6144, pp. 2018-2028.
J. Sijbers, den Dekker, A. J., Verhoye, M., Van Der Linden, A., and Van Dyck, D., Adaptive anisotropic noise filtering for magnitude MR data, Magnetic Resonance Imaging, vol. 17, pp. 1533-1539, 1999.PDF icon Download full paper (366 KB)
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, 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, den Dekker, A. J., Verhoye, M., and Van Dyck, D., Optimal estimation of T2 maps from magnitude MR data, in Proceedings of SPIE Medical Imaging, San Diego, CA, USA, 1998, vol. 3338, pp. 384-390.PDF icon Download paper (1.04 MB)
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, 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, 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, Vanrumste, B., Van Hoey, G., Boon, P., Verhoye, M., Van Der Linden, A., and Van Dyck, D., Automatic detection of EEG electrode markers on 3D MR data, in SPIE Medical Imaging: Image Processing, San Diego CA, USA, 2000, vol. 3979, pp. 1476-1481.
J. Sijbers, Signal and noise estimation from magnetic resonance images , 1998.
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, Scheunders, P., Bonnet, N., Van Dyck, D., and Raman, E., Quantification and improvement of the signal-to-noise ratio in a magnetic resonance image acquisition procedure, Magnetic Resonance Imaging, vol. 14, pp. 1157-1163, 1996.PDF icon Download paper (1.31 MB)
J. Sijbers, den Dekker, A. J., Van Dyck, D., and Raman, E., Estimation of signal and noise from Rician distributed data, in Proceedings of the IASTED International Conference on Signal Processing and Communications, Canary Islands, Spain, 1998, pp. 140-143.
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 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 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, De Beenhouwer, J., Ling, Y. - T., and Vandervorst, W., A reconstruction method for atom probe tomography, U.S. Patent 180175752023.
J. Sijbers and De Beenhouwer, J., Mobile imaging of an object using penetrating radiation, U.S. Patent WO/2017/1783342017.
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.

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