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Conference Paper
N. Six, De Beenhouwer, J., and Sijbers, J., pDART: Discrete algebraic reconstruction using a polychromatic forward model, in 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)
T. Roelandts, Batenburg, K. J., and Sijbers, J., PDART: A Partially Discrete Algorithm for the Reconstruction of Dense Particles, in 11th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully 3D), Potsdam, Germany, 2011, pp. 448-451.PDF icon Download full paper (1.74 MB)
G. Ramos-Llordén, Segers, H., Palenstijn, W. J., den Dekker, A. J., and Sijbers, J., Partially discrete magnetic resonance tomography, in 2015 IEEE International Conference on Image Processing (ICIP), 2015, pp. 1653-1657.
G. De Groof, Verhoye, M., Leemans, A., Sijbers, J., and Van Der Linden, A., 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, in 1st Annual Meeting - European Society of Molecular Imaging, Paris, France, 2006.
A. J. den Dekker, Sijbers, J., and Van Dyck, D., Optimizing the setting of an electron microscope for highest resolution using statistical parameter estimation theory, in Workshop: Towards Atomic Resolution Analysis 98, Port Ludlow, WA, U.S.A, 1998.
D. H. J. Poot, Sijbers, J., and den Dekker, A. J., Optimizing the Diffusion Kurtosis imaging acquisition, in European Society for Magnetic Resonance in Medicine and Biology, Valencia, Spain, 2008.
A. J. den Dekker, Sijbers, J., and Van Dyck, D., Optimizing the design of an HREM experiment so as to attain the highest resolution, in Proceedings of FEMMS98: Frontiers of Electron Microscopy in Material Science, Kloster Irsee, Germany, 1998.
M. Kudzinava, Poot, D. H. J., Plaisier, A., and Sijbers, J., Optimized Workflow for Diffusion Kurtosis Imaging of Newborns, in ISBI, 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Chicago, USA, 2011, pp. 922-926.PDF icon Paper (286.57 KB)PDF icon Presentation (1.25 MB)
W. Van Hecke, Leemans, A., Vandervliet, E., Parizel, P. M., and Sijbers, J., An optimized tensor orientation strategy for non-rigid alignment of DT-MRI data, in Joint Annual Meeting ISMRM-ESMRMB, Berlin, 2007.
A. Leemans, Sijbers, J., Verhoye, M., and Van Der Linden, A., Optimized Fiber Tractography based on Diffusion Tensor Magnetic Resonance Simulations, in 20th Annual Symposium - Belgian Hospital Physicists Association, Namur, Belgium, 2005.
C. Bossuyt, De Beenhouwer, J., and Sijbers, J., Optimization of a multi-source rectangular X-ray CT geometry for inline inspection, in SPIE Optical Engineering: Developments in X-Ray Tomography XIV , 2022, vol. 12242, p. 1224219 .
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)
M. Verhoye, Van Camp, N., Peeters, R. R., Sijbers, J., Van Audekerke, J., and Van Der Linden, A., On-line simultaneous BOLD/EEG measurements of functional activity during pentylenetetrazol induced epilepsy in the rat, in 16th annual meeting of the European Society for Magnetic Resonance in Medicine and Biology (ESMRMB00), Paris, France, 2000.
J. Van Audekerke, Sijbers, J., Michiels, I., Verhoye, M., Peeters, R. R., and Van Der Linden, A., Novel design of an RF-antenna with integrated EEG electrodes for combined EEG and fMRI in animals, in 16th annual meeting: Magnetic Resonance Materials in Physics, Biology, and Medicine, Sevilla, Spain, 1999.
K. Zarei Zefreh, Welford, F. M., and Sijbers, J., A Novel adaptive PCA Based Denoising Technique for Ultra-High-Rate Computed Tomography, in 7th Conference on Industrial Computed Tomography (iCT 2017), Leuven (Belgium), 2017.
W. Van Hecke, Leemans, A., De Backer, S., Vandervliet, E., Parizel, P. M., Sijbers, J., and D'Agostino, E., Non-rigid coregistration of diffusion tensor images using a viscous fluid model., in 23rd Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology, Warsaw, Poland, 2006, pp. 191-192.
J. Veraart, Van Hecke, W., Blockx, I., Van Der Linden, A., Verhoye, M., and Sijbers, J., Non-Rigid coregistration of diffusion kurtosis data, in Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on, Rotterdam, the Netherlands, 2010, pp. 392-395.PDF icon Download paper (278.35 KB)
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.
N. Six, Renders, J., Sijbers, J., and De Beenhouwer, J., Newton-Krylov Methods For Polychromatic X-Ray CT, in 2020 IEEE International Conference on Image Processing (ICIP), Abu Dhabi, 2020, pp. 3045-3049.
J. Rajan, den Dekker, A. J., Juntu, J., and Sijbers, J., A New Nonlocal Maximum Likelihood Estimation Method for Denoising Magnetic Resonance Images, in 5th International Conference, PReMI 2013, Kolkata, India, December 10-14, 2013. Proceedings, 2013, Lecture Notes in Computer Science., vol. 8251.
G. Van Gompel, Van Dyck, D., Tisson, G., and Sijbers, J., A new algorithm for Region Of Interest Tomography, in 19th Annual Symposium of the Belgian Hospital Physicists Association, 2004.
G. Van Gompel, Tisson, G., Van Dyck, D., and Sijbers, J., A new algorithm for Region Of Interest Tomography, in SPIE Medical Imaging: Image Processing, San Diego, California, USA, 2004, vol. 127, pp. 2105-2113.PDF icon Download paper (624.91 KB)
R. F. Kooy, Reyniers, E., Verhoye, M., Sijbers, J., Oostra, B. A., Willems, P. J., and Van Der Linden, A., Neuroanatomy of the fragile X knockout mouse brain studied using high-resolution MRI, in 48th Annual Meeting of the American Society of Human Genetics, Denver, CO (USA), 1998, p. 1918.
E. Janssens, De Beenhouwer, J., Van Dael, M., Verboven, P., Nicolai, B., and Sijbers, J., Neural Network Based X-Ray Tomography for Fast Inspection of Apples on a Conveyor Belt, in IEEE International Conference on Image Processing, 2015, pp. 917-921.
P. Bladt, Van Steenkiste, G., Ramos-Llordén, G., den Dekker, A. J., and Sijbers, J., Multi-voxel algorithm for quantitative bi-exponential MRI T1 estimation, in SPIE Medical Imaging, San Diego, California, United States of America, 2016, vol. 9784, p. 978402.PDF icon Download paper (624.23 KB)

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