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Conference Paper
Poot, D. H. J., J. Sijbers, and A J. den Dekker, "Optimizing the Diffusion Kurtosis imaging acquisition", European Society for Magnetic Resonance in Medicine and Biology, Valencia, Spain, October, 2008.
den Dekker, A J., J. Sijbers, and D. Van Dyck, "Optimizing the setting of an electron microscope for highest resolution using statistical parameter estimation theory", Workshop: Towards Atomic Resolution Analysis 98, Port Ludlow, WA, U.S.A, September, 1998.
De Groof, G., M. Verhoye, A. Leemans, J. Sijbers, and A. Van Der Linden, "Paired voxel-wise statistical mapping of in vivo Diffusion Tensor Imaging (DTI) data to assess the seasonal neuronal plasticity in the brain of a songbird", 1st Annual Meeting - European Society of Molecular Imaging, Paris, France, 2006.
Ramos-Llordén, G., H. Segers, W J. Palenstijn, A J. den Dekker, and J. Sijbers, "Partially discrete magnetic resonance tomography", 2015 IEEE International Conference on Image Processing (ICIP), pp. 1653-1657, Sept, 2015.
Roelandts, T., K. J. Batenburg, and J. Sijbers, "PDART: A Partially Discrete Algorithm for the Reconstruction of Dense Particles", 11th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully 3D), Potsdam, Germany, pp. 448-451, 2011. PDF icon Download full paper (1.74 MB)
Six, N., J. De Beenhouwer, and J. Sijbers, "pDART: Discrete algebraic reconstruction using a polychromatic forward model", The Fifth International Conference on Image Formation in X-Ray Computed Tomography, Salt Lake City, Utah, USA, 2018. PDF icon Download paper (1.61 MB)
Manhaeve, S., V. Van Nieuwenhove, and J. Sijbers, "Performance and memory use trade-off in CPU and GPU implementations of a deformation operator for 4D-CT", 8th Conference on Industrial Computed Tomography, Wels, Austria, 2018.
Sijbers, J., and A J. den Dekker, "The performance of generalized likelihood ratio tests for complex functional MRI data in the presence of phase model misspecification", European Society of Magnetic Resonance in Medicine (ESMRMB), Copenhagen, Denmark, pp. 96, September, 2004.
de Carvalho, T. B. A., M. A. A. Sibaldo, I R. Tsang, G. D. C. Cavalcanti, I J. Tsang, and J. Sijbers, "Pixel clustering for face recognition", 5th Brazilian Conference on Intelligent Systems, Brazil, pp. 121-126, 2016.
Fortes, W., J. Sijbers, and K. J. Batenburg, "Practical Error Bounds for Binary Tomography", 1st International Conference on Tomography of Materials and Structures, pp. 97-100, 2013. PDF icon Download paper (165.74 KB)
Van Hecke, W., A. Leemans, J. Sijbers, P. M. Parizel, and J. Van Goethem, "A preliminary study of diffusion tensor imaging and tractography of the spinal cord in elderly", 21th Annual Symposium - Belgian Hospital Physicists Association, Ghent, Belgium, pp. 61, 2006.
Sijbers, J., P. Scheunders, D. Van Dyck, and E. Raman, "Proceedings of the Royal Microscopical Society", Optimization of the SNR in NMR images using image sequences, vol. 29, no. 4, London, UK, pp. 232, September, 1994.
Batenburg, K. J., W J. Palenstijn, and J. Sijbers, "Projection and backprojection in tomography: design choices and considerations", Workshop on Applications of Discrete Geometry and Mathematical Morphology, pp. 106-110, 2010. PDF icon Download paper (367.34 KB)
Dabravolski, A., J. De Beenhouwer, and J. Sijbers, "Projection-based polygon estimation in X-ray computed tomography", 6th International Conference on Optical Measurement Techniques for Structures and Systems (OPTIMESS), pp. 41-50, 2016. PDF icon Download paper (615.72 KB)
Van de Casteele, E., P. M. Parizel, and J. Sijbers, "Quantitative evaluation of ASiR image quality: an adaptive statistical iterative reconstruction technique", SPIE Medical Imaging, vol. 8313, 02/2012. PDF icon Download abstract (453.01 KB)
den Dekker, A J., J. Sijbers, and D. Van Dyck, "Quantitative HREM: viewpoints on resolution, precision, and experimental design", Acta Cryst. A55 Supplement, Abstract M11.OE.OO5, IUCR Glasgow, Scotland, August, 1999.
Sijbers, J., and A. Postnov, "Reduction of ring artifacts in high resolution micro-CT images", Advanced Concepts for Intelligent Vision Systems (ACIVS), Brussels, Belgium, September, 2004.
Van Eyndhoven, G., K. J. Batenburg, and J. Sijbers, "Region based 4D tomographic image reconstruction: application to cardiac X-ray CT", IEEE International Conference on Image Processing, pp. 113 - 117, 2015. PDF icon Download paper (708.79 KB)
Van Nieuwenhove, V., J. De Beenhouwer, J. Vlassenbroeck, M. Moesen, M. Brennan, and J. Sijbers, "Registration Based SIRT: A reconstruction algorithm for 4D CT", 7th Conference on Industrial Computed Tomography, Leuven, Belgium, 2017. PDF icon Download paper (2.36 MB)
Sijbers, J., I. Michiels, M. Verhoye, J. Van Audekerke, A. Van Der Linden, and D. Van Dyck, "Restoration of EEG signals distorted during simultaneous MR acquisitions", annual meeting: Magnetic Resonance Materials in Physics, Biology, and Medicine, Sevilla, Spain, pp. 212, September, 1999.
Sijbers, J., I. Michiels, J. Van Audekerke, M. Verhoye, A. Van Der Linden, and D. Van Dyck, "Restoration of EEG signals distorted during simultaneous MR acquisitions", Proceedings of the International Society of Magnetic Resonance in Medicine, Denver CO, USA, pp. 118, April, 2000.
Sijbers, J., A J. den Dekker, D. H. J. Poot, R. Bos, M. Verhoye, N. Van Camp, and A. Van Der Linden, "Robust estimation of the noise variance from background MR data", Proceedings of SPIE Medical Imaging: Image Processing, vol. 6144, San Diego, CA, USA, pp. 2018-2028, February, 2006.
Pinho, R., S. Luyckx, and J. Sijbers, "Robust Region Growing Based Intrathoracic Airway Tree Segmentation", Proceedings of 2nd International Workshop on Pulmonary Image Analysis, pp. 261-271, September, 2009. PDF icon Download paper (1.66 MB)
Pinho, R., K. J. Batenburg, and J. Sijbers, "Seeing Through the Window: Pre-fetching Strategies for Out-of-core Image Processing Algorithms", Proceedings of SPIE Medical Imaging, vol. 6919, San Diego, CA, USA, SPIE, February, 2008.
Rajan, J., D. H. J. Poot, J. Juntu, and J. Sijbers, "Segmentation Based Noise Variance Estimation from Background MRI Data", ICIAR , vol. 6111, Porto, Portugal, Springer LNCS, pp. 62-70, 2010.