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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, 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, 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 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 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 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 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, 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., 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 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 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, Scheunders, P., Van Dyck, D., and Raman, E., The use of two NMR realizations for determining and improving of the image SNR, in Proceedings of the Joint Meeting of the Belgian and Dutch Societies for Electron Microscopy, Arnhem, Papendal, The Netherlands, 1994, p. 65.
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.
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 and Van Der Linden, A., Magnetic Resonance Imaging, In: Encyclopedia of Optical Engineering, Marcel Dekker, 2003, pp. 1237-1258.
J. Sijbers, Signal and noise estimation from magnetic resonance images , 1998.
J. Sijbers, Estimation of Signal and Noise from Magnitude Magnetic Resonance Images, 1998.PDF icon Download PhD thesis (3.5 MB)
J. Sijbers and De Beenhouwer, J., Mobile imaging of an object using penetrating radiation, U.S. Patent WO/2017/1783342017.
J. Sijbers, De Beenhouwer, J., Ling, Y. - T., and Vandervorst, W., A reconstruction method for atom probe tomography, U.S. Patent 180175752023.
J. Sijbers, Danckaers, F., and Osstyn, J., Methods and systems for determining an anatomical reconstruction of a broken bone, 2024.
J. Sijbers and den Dekker, A. J., Longitudinal Magnetic Resonance Imaging Method, U.S. Patent WO2024100240A12024.

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