Publications

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Conference Paper
A. Dabravolski, De Beenhouwer, J., and Sijbers, J., Projection-based polygon estimation in X-ray computed tomography, in 6th International Conference on Optical Measurement Techniques for Structures and Systems (OPTIMESS), 2016, pp. 41-50.PDF icon Download paper (615.72 KB)
E. Van de Casteele, Parizel, P. M., and Sijbers, J., Quantitative evaluation of ASiR image quality: an adaptive statistical iterative reconstruction technique, in SPIE Medical Imaging, 2012, vol. 8313.PDF icon Download abstract (453.01 KB)
A. J. den Dekker, Sijbers, J., and Van Dyck, D., Quantitative HREM: viewpoints on resolution, precision, and experimental design, in Acta Cryst. A55 Supplement, Abstract M11.OE.OO5, IUCR Glasgow, Scotland, 1999.
L. - P. Lumbeeck, Paramonov, P., Sijbers, J., and De Beenhouwer, J., The Radon Transform for Terahertz Computed Tomography Incorporating the Beam Shape, in IEEE ICIP, 2020, pp. 3040-3044.PDF icon Download paper (692.64 KB)
E. Ribeiro Sabidussi, Caan, M., Bazrafkan, S., den Dekker, A. J., Sijbers, J., Niessen, W. J., and Poot, D. H. J., Recurrent Inference Machines as Inverse Problem Solvers for MR Relaxometry, in MIDL 2021 - Medical Imaging with Deep Learning, 2021.
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.
G. Van Eyndhoven, Batenburg, K. J., and Sijbers, J., Region based 4D tomographic image reconstruction: application to cardiac X-ray CT, in IEEE International Conference on Image Processing, 2015, pp. 113 - 117.PDF icon Download paper (708.79 KB)
A. - T. Nguyen, Renders, J., Sijbers, J., and De Beenhouwer, J., Region-based motion-compensated iterative reconstruction technique for dynamic computed tomography, in IEEE International Symposium on Biomedical Imaging (ISBI), Cartagena de Indias, Colombia, 2023.
V. Van Nieuwenhove, De Beenhouwer, J., Vlassenbroeck, J., Moesen, M., Brennan, M., and Sijbers, J., Registration Based SIRT: A reconstruction algorithm for 4D CT, in 7th Conference on Industrial Computed Tomography, Leuven, Belgium, 2017.PDF icon Download paper (2.36 MB)
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, 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.
M. Nauwynck, Bazrafkan, S., Van Heteren, A., De Beenhouwer, J., and Sijbers, J., Ring Artifact Reduction in Sinogram Space Using Deep Learning, in 6th International Conference on Image Formation in X-Ray Computed Tomography, 2020.PDF icon Download paper (2.49 MB)
S. Bazrafkan, Van Nieuwenhove, V., Soons, J., De Beenhouwer, J., and Sijbers, J., Ringing Artefact Removal From Sparse View Tomosynthesis using Deep Neural Networks, in The 6th International Conference on Image Formation in X-Ray Computed Tomography, 2020, pp. 380-383.PDF icon Download paper (570.79 KB)
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.
R. Pinho, Luyckx, S., and Sijbers, J., Robust Region Growing Based Intrathoracic Airway Tree Segmentation, in Proceedings of 2nd International Workshop on Pulmonary Image Analysis, 2009, pp. 261-271.PDF icon Download paper (1.66 MB)
R. Pinho, Batenburg, K. J., and Sijbers, J., Seeing Through the Window: Pre-fetching Strategies for Out-of-core Image Processing Algorithms, in Proceedings of SPIE Medical Imaging, San Diego, CA, USA, 2008, vol. 6919.
J. Rajan, Poot, D. H. J., Juntu, J., and Sijbers, J., Segmentation Based Noise Variance Estimation from Background MRI Data, in ICIAR , Porto, Portugal, 2010, vol. 6111, pp. 62-70.
R. Pinho, Sijbers, J., and Huysmans, T., Segmentation of The Human Trachea Using Deformable Statistical Models of Tubular Shapes, in Proceedings of Advanced Concepts for Intelligent Vision Systems, 2007, vol. 4678, pp. 531-542.PDF icon Download paper (570.18 KB)
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.
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.
T. Huysmans, Bernat, A., Sijbers, J., Parizel, P. M., Van Glabbeek, F., and Verdonk, B., Shape Analysis of the Human Clavicle for the Development of a Set of osteosynthesis Plates, in Belgian Day on Biomedical Engineering - IEEE/EMBS Benelux Symposium, Brussels, Belgium, 2006, pp. 128-129.PDF icon Full text (103.17 KB)
J. Sanctorum, De Beenhouwer, J., Weissenböck, J., Heinzl, C., Kastner, J., and Sijbers, J., Simulated grating-based x-ray phase contrast images of CFRP-like objects, in 9th Conference on Industrial Computed Tomography, Padova, Italy, 2019, pp. 1-8.PDF icon Download paper (706.73 KB)
A. Leemans, Sijbers, J., Verhoye, M., Van Der Linden, A., and Van Dyck, D., A Simulated Phantom for Diffusion Tensor Fiber Tracking, in IEEE Advanced Concepts for Intelligent Vision Systems, Ghent University, Belgium, 2003, pp. 281-285.
A. Leemans, Sijbers, J., Verhoye, M., Van Der Linden, A., and Van Dyck, D., Simulating Neuronal Fiber Bundles for DT-MRI Tractography, in 20th Annual Scientific Meeting - European Society for Magnetic Resonance in Medicine and Biology, Rotterdam, The Netherlands, 2003, p. 278.
I. Michiels, Sijbers, J., Eelen, J., Verhoye, M., Dhooghe, R., Nagels, G., De Deyn, P. P., and Van Der Linden, A., Simultaneous EEG and MRI in an animal model for generalized epilepsy induced in the MRI instrument, in 16th annual meeting: Magnetic Resonance Materials in Physics, Biology, and Medicine, Sevilla, Spain, 1999.

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