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Conference Abstract
Van Steenkiste, G., D. H. J. Poot, B. Jeurissen, A J. den Dekker, and J. Sijbers, "Super-resolution T1 mapping: a simulation study", ISMRM 23th Annual Meeting, Toronto, Ontario, Canada, vol. 23, pp. 1679, 2015. PDF icon Download abstract (1.22 MB)
Collier, Q., J. Veraart, B. Jeurissen, A J. den Dekker, and J. Sijbers, "Theoretical study of the free water elimination model", ISMRM 23th Annual Meeting, Toronto, Ontario, Canada, vol. 23, pp. 2757, 2015. PDF icon Download abstract (594.47 KB)
Collier, Q., J. Veraart, B. Jeurissen, A J. den Dekker, and J. Sijbers, "Theoretical study of the free water elimination model", 7th Annual Meeting of the Benelux ISMRM Chapter, Ghent, Belgium, pp. 78, 2015.
Sanctorum, J., E. Janssens, A J. den Dekker, S. Senck, C. Heinzl, J. De Beenhouwer, and J. Sijbers, "A workflow to reconstruct grating-based X-ray phase contrast CT images: application to CFRP samples", 4th Conference on X-ray and Neutron Phase Imaging with Gratings, Zürich, Switzerland, pp. 139-140, 2017. PDF icon Download poster (1008.67 KB)PDF icon Download abstract (294.87 KB)
Conference Paper
Sijbers, J., A J. den Dekker, M. Verhoye, A. Van Der Linden, and D. Van Dyck, "Adaptive anisotropic noise filtering for magnitude MR data", Proceedings of SPIE Medical Imaging, vol. 3661, San Diego, USA, pp. 1418-1425, February, 1999.
Poot, D. H. J., J. Sijbers, A J. den Dekker, and W. Pintjens, "Automatic estimation of the noise variance from the histogram of a magnetic resonance image", IEEE/EBMS Benelux Symposium proceedings: IEEE/EMBS, pp. 135-138, December, 2006.
den Dekker, A J., J. Sijbers, R. Bos, and A. Smolders, "Brain activation detection from functional magnetic resonance imaging data using likelihood based hypothesis tests", Abstracts of the 24th Benelux Meeting on Systems and Control, Houffalize, Belgium, March, 2005.
den Dekker, A J., and J. Sijbers, "Brain activation detection from magnitude fMRI data using a generalized likelihood ratio test", Abstracts of the 23rd Benelux Meeting on Systems and Control, Helvoirt, The Netherlands, March, 2004.
Presenti, A., J. Sijbers, A J. den Dekker, and J. De Beenhouwer, "CAD-based defect inspection with optimal view angle selection based on polychromatic X-ray projection images", 9th Conference on Industrial Computed Tomography, Padova, Italy, 2019. PDF icon Download paper (219.28 KB)
Sijbers, J., and A J. den Dekker, "Construction of a likelihood ratio test for magnitude fMRI data", 19th Annual Symposium of the Belgian Hospital Physicists Association, January, 2004.
Sijbers, J., N. Van Camp, A. Leemans, A J. den Dekker, M. Verhoye, and A. Van Der Linden, "Coregistration of Micro-MRI, microCT and microPET", Workshop on non Invasive 3D Microscopy, University of Antwerp, Belgium, pp. 16, August, 2004.
den Dekker, A J., and J. Sijbers, "Detection of brain activation from magnitude fMRI data using a generalized likelihood ratio test", Proceedings of the 12th European Signal Processing Conference, Vienna, Austria, ISBN 3-200-00165-8, pp. 233-236, September, 2004.
Van Dyck, D., A J. den Dekker, J. Sijbers, and E. Bettens, "Dose Limited Resolution", Proceedings Microscopy and Microanalysis, vol. 2, no. 2, Atlanta, Georgia, U.S.A, pp. 802-803, July, 1998.
Sijbers, J., A J. den Dekker, D. Van Dyck, and E. Raman, "Estimation of signal and noise from Rician distributed data", Proceedings of the IASTED International Conference on Signal Processing and Communications, Canary Islands, Spain, pp. 140-143, February, 1998.
Poot, D. H. J., J. Sijbers, A J. den Dekker, and R. Bos, "Estimation of the noise variance from the background histogram mode of an MR image", Proceedings of the 25th Benelux Meeting on Systems and Control, Heeze, The Netherlands, March, 2006.
Poot, D. H. J., J. Sijbers, A J. den Dekker, and R. Bos, "Estimation of the noise variance from the background histogram mode of an MR image", Proceedings of SPS-DARTS 2006 (The second annual IEEE BENELUX/DSP Valley Signal Processing Symposium), Antwerp, Belgium, pp. 159-162, March, 2006.
Poot, D. H. J., J. Sijbers, and A J. den Dekker, "An exploration of spatial similarities in temporal noise spectra in fMRI measurements", Proceedings of SPIE Medical Imaging 2008, vol. 6914, San Diego, CA, USA, pp. 69142, February, 2008.
Sijbers, J., and A J. den Dekker, "Generalized likelihood ratio test for complex fMRI data", SPIE Medical Imaging: Physiology, Function, and Structure from Medical Images, vol. 5369, San Diego, California, USA, pp. 652-663, February, 2004. PDF icon Download full paper (251.15 KB)
Van Steenkiste, G., D. H. J. Poot, B. Jeurissen, A J. den Dekker, and J. Sijbers, "High resolution T1 estimation from multiple low resolution magnetic resonance images", IEEE International Symposium on Biomedical Imaging (ISBI): From nano to macro, vol. 12, pp. 1036-1039, 2015.
den Dekker, A J., J. Sijbers, and D. Van Dyck, "How to design an HREM experiment so as to attain the highest precision?", ICEM14: 14th International Congress on Electron Microscopy, vol. 1, Cancun, Mexico, pp. 621-622, September, 1998.
Sijbers, J., and A J. den Dekker, "Mapping a polyhedron onto a sphere: application to Fourier descriptors", 22nd Benelux Meeting on Systems and Control, Lommel, Belgium, March, 2003.
den Dekker, A J., and J. Sijbers, "Maximum Likelihood estimation of signal amplitude and noise variance", 13th IFAC Symposium on System Identification (SYSID-2003), Rotterdam, The Netherlands, pp. 126-131, August, 2003.
den Dekker, A J., J. Sijbers, M. Verhoye, and D. Van Dyck, "Maximum Likelihood estimation of the signal component magnitude in phase contrast MR images", Proceedings of SPIE Medical Imaging, vol. 3338, San Diego, California, USA, pp. 408-415, February, 1998.
Bladt, P., G. Van Steenkiste, G. Ramos-Llordén, A J. den Dekker, and J. Sijbers, "Multi-voxel algorithm for quantitative bi-exponential MRI T1 estimation", SPIE Medical Imaging, vol. 9784, San Diego, California, United States of America, pp. 978402, 2016. PDF icon Download paper (624.23 KB)
Rajan, J., A J. den Dekker, J. Juntu, and J. Sijbers, "A New Nonlocal Maximum Likelihood Estimation Method for Denoising Magnetic Resonance Images", 5th International Conference, PReMI 2013, Kolkata, India, December 10-14, 2013. Proceedings, Lecture Notes in Computer Science, vol. 8251, 2013.

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