Publications

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Author [ Type(Desc)] Year
Conference Abstract
Q. Collier, Veraart, J., den Dekker, A. J., Jeurissen, B., and Sijbers, J., CSF partial volume modeling in diffusion kurtosis imaging: a comparative parameter estimation study, Front. Neuroinform. Conference Abstract: Second Belgian Neuroinformatics Congress. 2015.
E. Ribeiro Sabidussi, Nicastro, M., Bazrafkan, S., Beirinckx, Q., Jeurissen, B., den Dekker, A. J., Klein, S., and Poot, D. H. J., A deep learning approach to T1 mapping in quantitative MRI, 36th Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine & Biology, Rotterdam, The Netherlands, vol. 32 (Suppl. 1). Magn Reson Mater Phy, 2019.
J. Rimpelainen, Bazrafkan, S., Sijbers, J., and De Beenhouwer, J., Deep learning based missing wedge artefact removal for electron tomography, Microscopy Conference, Berlin, Germany. pp. 660-661, 2019.
J. Rajan, Van Audekerke, J., Verhoye, M., Van Der Linden, A., and Sijbers, J., Denoising magnitude MRI using an adaptive NLML method, ESMRMB Congress 28th Annual Scientific Meeting. Leipzig, Germay, p. 383, 2011.
M. Kudzinava, Rajan, J., and Sijbers, J., Denoising of DKI images: effect on feasibility and accuracy of kurtosis parameters, ESMRMB, European Society for Magnetic Resonance in Medicine and Biology, 28th Annual Scientific Meeting. Leipzig, Germany, p. 236, 2011.PDF icon Abstract (313.22 KB)PDF icon Presentation (1.13 MB)
J. Rajan and Sijbers, J., Denoising SENSE reconstructed MR images, 5th Annual Symposium of the Benelux Chapter of the IEEE Engineering in Medicine and Biology Society. 2011.
J. Fatermans, Müller-Caspary, K., den Dekker, A. J., and Van Aert, S., Detection of atomic columns from noisy STEM images, Microscopy Conference 2017 (MC 2017), Lausanne, Switzerland. pp. 445-446, 2017.
M. Kudzinava, Plaisier, A., Dudink, J., and Sijbers, J., Diffusion and kurtosis parameters in white matter of premature newborns, WMSG, White Matter Study Group, International Workshop on Advanced White Matter Imaging. Reykjavik, Iceland, p. 21, 2011.PDF icon Abstract (378.88 KB)PDF icon Poster (363.19 KB)
R. Delgado Y Palacios, Veraart, J., Vanhoutte, G., Schell, H., Verhoye, M., P., K., Sijbers, J., and Van Der Linden, A., Diffusion kurtosis abnormalities in pre-symptomatic (alpha)-synycleunopathy mouse model, 3rd meeting of the ISMRM Benelux Chapter. Hoeven, The Netherlands, 2011.
I. Blockx, Verhoye, M., De Groof, G., Van Audekerke, J., Raber, K., Poot, D. H. J., Sijbers, J., von Horsten, S., and Van Der Linden, A., Diffusion Kurtosis Imaging (DKI) reveals an early phenotype (P30) in a transgenic rat model for Huntington’s disease, ISMRM conference proceedings, vol. 2009. p. 359, 2009.
C. Guglielmetti, Veraart, J., Roelant, E., Mai, Z., Daans, J., Van Audekerke, J., Praet, J., Ponsaerts, P., Sijbers, J., Van Der Linden, A., and Verhoye, M., Diffusion kurtosis imaging probes cortical alterations and white matter pathology following cuprizone-induced demyelination and spontaneous remyelination, ISMRM 23th Annual Meeting, Toronto, Ontario, Canada, vol. 23. 2015.PDF icon Download abstract (866.27 KB)
A. E. Buikema, den Dekker, A. J., and Sijbers, J., Diffusion time dependence in the mid-time regime: a simulation study using PGSE., 27th Annual Meeting of the ISMRM. Montreal, Canada, 2019.
Q. Collier, Segers, H., and Sijbers, J., Discrete algebraic reconstruction in MRI: a simulation study, ESMRMB CONGRESS 2012: 29th Annual Scientific Meeting, vol. 25, no. 1. pp. 480-481, 2012.PDF icon Download abstract (194.48 KB)
H. Segers, Palenstijn, W. J., Batenburg, K. J., and Sijbers, J., Discrete Tomography in MRI: a proof of concept, Proc. Intl. Soc. Mag. Reson. Med, vol. 21. p. 2662, 2013.
Distinguishing Façade Material Change using Hyperspectral Imaging. 2017.
M. Kudzinava, Leemans, A., Philips, W., Perrone, D., Aelterman, J., Dudink, J., and Sijbers, J., Distortion correction of DKI data: affine approach, 10th Belgian Day on Biomedical Engineering – joint meeting with IEEE EMBS Benelux Chapter. 2011.PDF icon Abstract (362.44 KB)PDF icon Poster (716.34 KB)
R. Delgado Y Palacios, Verhoye, M., Van Audekerke, J., Poot, D. H. J., Sijbers, J., Wiborg, O., and Van Der Linden, A., DKI visualizes hippocampal alterations in the chronic mild stress ratmodel, ISMRM conference proceedings, vol. 2009. p. 744, 2009.
U. Roine, Roine, T., Salmi, J., Nieminen-von Wendt, T., Leppämäki, S., Rintahaka, P., Tani, P., and Sams, M., DTI-based Classification of Affection Status in Asperger Syndrome., Society for Neuroscience Annual Meeting (Neuroscience 2012). 2012.
E. Janssens, De Beenhouwer, J., Sanctorum, J., Senck, S., Heinzl, C., and Sijbers, J., Dual axis Dark Field Contrast Tomography for visualisation of scattering directions in a CFRP sample, 4th Conference on X-ray and Neutron Phase Imaging with Gratings. Zürich, Switzerland, pp. 79-80, 2017.PDF icon Download poster (729.94 KB)PDF icon Download abstract (116.29 KB)
G. Ramos-Llordén, Beirinckx, Q., den Dekker, A. J., and Sijbers, J., An educational presentation on accurate and precise MRI relaxometry: the often disregarded but critical role of statistical parameter estimation, 10th Annual Meeting of the ISMRM Benelux Chapter. Antwerp, Belgium, 2018.
A. E. Buikema, den Dekker, A. J., and Sijbers, J., Effect of diffusion time dependence on parameter estimation in the clinical time frame: a simulation study using PGSE, 11th Annual Meeting of the ISMRM Benelux Chapter. Leiden, the Netherlands, 2019.
B. Jeurissen, Leemans, A., Jones, D. K., Tournier, J. - D., and Sijbers, J., Estimating the number of fiber orientations in diffusion MRI voxels: a constrained spherical deconvolution study, ISMRM, 18th Scientific Meeting and Exhibition. Stockholm, Sweden, 2010.
A. Leemans, Jeurissen, B., Sijbers, J., and Jones, D. K., ExploreDTI: A Graphical Toolbox for Processing, Analyzing, and Visualizing Diffusion MR Data, ISMRM, 17th Scientific Meeting and Exhibition. Honolulu, USA, 2009.
A. Bernat, Huysmans, T., Van Glabbeek, F., Sijbers, J., Pinho, R., and Gielen, J. L., Exploring the Clavicle: Morphometric Differences Using a 3D Model, AAOS Annual Meeting. Las Vegas,Nevada, 2009.PDF icon Full text (12.29 KB)
J. Rajan, Van Audekerke, J., Veraart, J., Verhoye, M., and Sijbers, J., An extended NLML method for denoising non-central chi distributed data - application to parallel MRI, Fourth Annual Meeting of the Benelux ISMRM chapter. p. 41, 2011.

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