Publications

Export 224 results:
Author [ Type(Desc)] Year
Filters: Term is Visionlab and Type is Conference Abstract  [Clear All Filters]
Conference Abstract
C. Smekens, Van Dyck, P., Janssens, T., Sijbers, J., and Jeurissen, B., Data-driven characterization of knee structures using non-negative matrix factorization of quantitative UTE Spiral VIBE MRI, Proc. Intl. Soc. Mag. Reson. Med. 31. 2022.
R. Paolella, de la Rosa, E., Sima, D. M., Dive, D., Durand-Dubief, F., Sappey-Marinier, D., Jeurissen, B., Sijbers, J., and Billiet, T., Decoding Multiple Sclerosis EDSS disability scores from MRI using Deep Learning, 38th Annual Scientific Meeting Congress of the European Society for Magnetic Resonance in Medicine and Biology, vol. 34. pp. S57-S58, 2021.
E. Ribeiro Sabidussi, Nicastro, M., Bazrafkan, S., Beirinckx, Q., Jeurissen, B., Sijbers, J., 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 (ESMRMB), 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., Kahle, P., 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)
S. Jillings, Van Ombergen, A., Tomilovskaya, E., Rumshiskaya, A., Litvinova, L., Nosikova, I., Pechenkova, E., Rukavishnikov, I., Kozlovskaya, I., Sunaert, S., Parizel, P. M., Sinitsyn, V., Petrovichev, V., Laureys, S., P Eulenburg, zu, Sijbers, J., Wuyts, F. L., and Jeurissen, B., Diffusion MRI reveals macro- and microstructural changes in cosmonauts' brains after long-duration spaceflight, Proc Intl Soc Mag Reson Med 28. p. 4531, 2020.
I. Wielaard, Reijmer, Y. D., Leemans, A., Heringa, S. M., Jeurissen, B., Koek, H. L., and Biessels, G. J., Diffusion tensor imaging and cognition in Alzheimer’s disease: the influence of crossing fibers, Endo-Neuro Psycho Meeting. Lunteren, The Netherlands, 2011.
P. Van Dyck, De Smet, E., Froeling, M., Verdonk, P., Torfs, M., Pullens, P., Sijbers, J., Parizel, P. M., and Jeurissen, B., Diffusion Tensor Imaging of the Anterior Cruciate Ligament Graft, Proc. Intl. Soc. Mag. Reson. Med. 25. p. 377, 2017.
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.
S. Jillings, Van Ombergen, A., Tomilovskaya, E., Laureys, S., P Eulenburg, zu, Sunaert, S., Sijbers, J., Wuyts, F. L., and Jeurissen, B., Diffusion-weighted imaging reveals structural brain changes in cosmonauts after long-duration spaceflight, 36th Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine & Biology, Rotterdam, The Netherlands, vol. 32 (Suppl. 1). p. Magn Reson Mater Phy. 2019; 32(Suppl. 1):S101, 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.
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.
E. R. Sabidussi, Klein, S., Jeurissen, B., and Poot, D. H. J., dtiRIM: A recurrent inference machine for diffusion tensor estimation, Proc Intl Soc Mag Reson Med 30. p. 1981, 2022.
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)
N. Francken, Paramonov, P., Sijbers, J., and De Beenhouwer, J., Edge Illumination Phase Contrast Simulations Using the OptiX GPU Ray Tracing Engine, 5th International Conference on Tomography of Materials & Structures (ICTMS). 2022.
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.

Pages