Publications

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Author Type [ Year(Asc)]
2020
D. Frenkel, De Beenhouwer, J., and Sijbers, J., An adaptive probability map for the Discrete Algebraic Reconstruction Technique, 10th Conference on Industrial Computed Tomography (ICT 2020). 2020.
J. Renders, Sijbers, J., and De Beenhouwer, J., Adjoint pairs of image warping operators for motion modeling in 4D-CT, in 6th International Conference on Image Formation in X-Ray Computed Tomography, 2020.
B. Fröhler, Elberfeld, T., Möller, T., Hege, H. - C., De Beenhouwer, J., Sijbers, J., Kastner, J., and Heinzl, C., Analysis and Comparison of Algorithms for the Tomographic Reconstruction of Curved Fibers, in 10th Conference on Industrial Computed Tomography (ICT 2020), 2020.PDF icon Download paper (703.79 KB)
V. Nguyen, De Beenhouwer, J., Bazrafkan, S., Hoang, A. - T., Van Wassenbergh, S., and Sijbers, J., BeadNet: a network for automated spherical marker detection in radiographs for geometry calibration, in 6th International Conference on Image Formation in X-Ray Computed Tomography, 2020.
M. Ljubenović, Bazrafkan, S., De Beenhouwer, J., and Sijbers, J., CNN-based Deblurring of Terahertz Images, in Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP), 2020, vol. 4, pp. 323-330.PDF icon Download paper (16.31 MB)
G. Araizi-Kanoutas, Geessinck, J., Gauquelin, N., Smit, S., Verbeeck, X. H., Mishra, S. K., Bencok, P., Schlueter, C., Lee, T. - L., Krishnan, D., Fatermans, J., Verbeeck, J., Rijnders, G., Koster, G., and Golden, M. S., Co valence transformation in isopolar LaCoO3/LaTiO3 perovskite heterostructures via interfacial engineering, Phys. Rev. Materials, vol. 4, 2020.
T. Peeters, Vleugels, J., Verwulgen, S., Danckaers, F., Huysmans, T., Sijbers, J., and De Bruyne, G., A Comparative Study Between Three Measurement Methods to Predict 3D Body Dimensions Using Shape Modelling, in Advances in Additive Manufacturing, Modeling Systems and 3D Prototyping, Cham, 2020, vol. 975, pp. 464–470.
A. Presenti, Bazrafkan, S., Sijbers, J., and De Beenhouwer, J., Deep learning-based 2D-3D sample pose estimation for X-ray 3DCT, in 10th Conference on Industrial Computed Tomography (ICT 2020), 2020.
W. Keustermans, Huysmans, T., Schmelzer, B., Sijbers, J., and Dirckx, J. J. J., The effect of nasal shape on the thermal conditioning of inhaled air: Using clinical tomographic data to build a large-scale statistical shape model, Computers in Biology and Medicine, vol. 117, no. 103600, pp. 1-13, 2020.
B. De Samber, De Rycke, R., De Bruyne, M., Kienhuis, M., Sandblad, L., Bohic, S., Cloetens, P., Urban, C., Polerecky, L., and Vincze, L., Effect of sample preparation techniques upon single cell chemical imaging: A practical comparison between synchrotron radiation based X-ray fluorescence (SR-XRF) and Nanoscopic Secondary Ion Mass Spectrometry (nano-SIMS), Analytica Chimica Acta, vol. 1106, pp. 22-32, 2020.PDF icon Download paper (4.01 MB)
P. Van Dyck, Froeling, M., Heusdens, C. H. W., Sijbers, J., Ribbens, A., and Billiet, T., Healing of the Anterior Cruciate Ligament Following Primary Repair with Internal Bracing: a Longitudinal DTI Study, Journal of Orthopaedic Research, 2020.
V. Anania, Billiet, T., Jeurissen, B., Ribbens, A., den Dekker, A. J., and Sijbers, J., Improved voxel-wise quantification of diffusion and kurtosis metrics in the presence of noise and intensity outliers, 12th Annual Meeting ISMRM Benelux Chapter, Arnhem, The Netherlands. 2020.
B. Shafieizargar, Jeurissen, B., den Dekker, A. J., and Sijbers, J., Joint estimation of phase and diffusion tensor parameters from multi-shot k-q-space data: a proof of concept, International Society for Magnetic Resonance in Medicine (ISMRM), vol. 28. 2020.PDF icon full conference abstract (199.3 KB)
B. Shafieizargar, Jeurissen, B., den Dekker, A. J., and Sijbers, J., Joint estimation of phase and diffusion tensor parameters from multi-shot k-q-space data: a proof of concept, ISMRM-Benelux, vol. 12. 2020.
Q. Beirinckx, Ramos-Llordén, G., Jeurissen, B., Poot, D. H. J., Parizel, P. M., Verhoye, M., Sijbers, J., and den Dekker, A. J., Joint Maximum Likelihood Estimation of Motion and T1 Parameters from Magnetic Resonance Images in a Super-resolution Framework: a Simulation Study, Fundamenta Informaticae, vol. 172, no. 2, pp. 105-128, 2020.
T. Van De Looverbosch, Bhuiyan, H. Rahman, Verboven, P., Dierick, M., Van Loo, D., De Beenhouwer, J., Sijbers, J., and Nicolai, B., Nondestructive internal quality inspection of pear fruit by X-ray CT using machine learning, Food Control, vol. 113, no. 107170, pp. 1-13, 2020.
M. Nicastro, Beirinckx, Q., Bladt, P., Jeurissen, B., Klein, S., Sijbers, J., Poot, D. H. J., and den Dekker, A. J., Optimal design of a T1 super-resolution reconstruction experiment: a simulation study, 12th Annual Meeting of the ISMRM Benelux Chapter. 2020.PDF icon Download abstract (4.9 MB)
B. G. Booth, Hoefnagels, E., Huysmans, T., Sijbers, J., and Keijsers, N. L. W., PAPPI: Personalized analysis of plantar pressure images using statistical modelling and parametric mapping, PlosOne, vol. 15, no. 2, p. e0229685, 2020.
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.
C. Smekens, Vanhevel, F., Jeurissen, B., Van Dyck, P., Sijbers, J., and Janssens, T., Short T2* quantification of knee structures based on accelerated UTE Spiral VIBE MRI with SPIRiT reconstruction, ISMRM 28th Annual Meeting & Exhibition, Sydney, Australia. 2020.
C. Smekens, Vanhevel, F., Jeurissen, B., Van Dyck, P., Sijbers, J., and Janssens, T., Short T2* quantification of knee structures based on accelerated UTE Spiral VIBE MRI with SPIRiT reconstruction, 12th Annual Meeting of the ISMRM Benelux Chapter, Arnhem, The Netherlands. 2020.

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