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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, den Dekker, A. J., Van Audekerke, J., Verhoye, M., and Van Dyck, D., Estimation of the noise in magnitude MR images, Magnetic Resonance Imaging, vol. 16, pp. 87-90, 1998.PDF icon Download paper (64.9 KB)
J. Sijbers, Van Der Linden, A., Scheunders, P., Van Audekerke, J., Van Dyck, D., and Raman, E., Volume quantization of the mouse cerebellum by semi-automatic 3D segmentation of MR images, in Proceedings of SPIE Medical Imaging, Newport Beach CA, USA, 1996, vol. 2710, pp. 553-560.
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, Michiels, I., Verhoye, M., Van Audekerke, J., Van Der Linden, A., and Van Dyck, D., Restoration of EEG signals distorted during simultaneous MR acquisitions, in annual meeting: Magnetic Resonance Materials in Physics, Biology, and Medicine, Sevilla, Spain, 1999, p. 212.
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 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, 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 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, 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, 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 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, 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, 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 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, 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.
M. Siqueira Pinto, Winzeck, S., Kornaropoulos, E. N., Richter, S., Paolella, R., Correia, M. M., Glocker, B., Williams, G., Vik, A., Posti, J., Håberg, A. Kristine, Stenberg, J., Guns, P. - J., den Dekker, A. J., Menon, D. K., Sijbers, J., Van Dyck, P., and Newcombe, V. F. J., Use of support vector machines approach via ComBat harmonized diffusion tensor imaging for the diagnosis and prognosis of mild traumatic brain injury: a CENTER-TBI study, Journal of Neurotrauma, vol. 40, no. 13-14, pp. 1317-1338, 2023.
M. Siqueira Pinto, Paolella, R., Billiet, T., Van Dyck, P., Guns, P. - J., Jeurissen, B., Ribbens, A., den Dekker, A. J., and Sijbers, J., Harmonisation of Brain Diffusion MRI: Concepts and Methods, Frontiers in Neuroscience , vol. 14, pp. 1-17, 2020.PDF icon Download paper (2.61 MB)
M. Siqueira Pinto, Winzeck, S., Correia, M. M., Kornaropoulos, E. N., Menon, D. K., Glocker, B., den Dekker, A. J., Sijbers, J., Guns, P. - J., Van Dyck, P., and Newcombe, V. F. J., Outcome prediction in Mild Traumatic Brain Injury patients using conventional and diffusion MRI via Support Vector Machine: A CENTER-TBI study, ISMRM & SMRT Annual Meeting. 2021.
M. Siqueira Pinto, Winzeck, S., Richter, S., Correia, M. M., Kornaropoulos, E. N., Menon, D. K., Glocker, B., Guns, P. - J., den Dekker, A. J., Sijbers, J., Newcombe, V. F. J., and Van Dyck, P., Outcome prediction of mild traumatic brain injury using support vector machine based on longitudinal MRdiffusion imaging from CENTER-TBI, Magn Reson Mater Phy (ESMRMB), vol. 34. p. S54, 2021.

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