Publications

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Conference Abstract
F. Danckaers, Huysmans, T., and Sijbers, J., Building 3D Statistical Shape Models of Vegetables and Fruit, National Symposium for Applied Biological Sciences 2016 (NSABS). 2016.
B. Jeurissen, Tournier, J. - D., Dhollander, T., Connelly, A., and Sijbers, J., Brain Tissue Types Resolved Using Spherical Deconvolution of Multi-Shell Diffusion MRI Data, ISMRM, 22nd Scientific Meeting and Exhibition. Milan, Italy, p. 973, 2014.
M. Nicastro and Siqueira Pinto, M., BQ-MINDED: Introducing Quantitative MRI in routine clinical practice, Marie Curie Alumni Association Annual Conference. 2019.PDF icon Download abstract (2.21 MB)
B. Jeurissen, Leemans, A., Tournier, J. - D., and Sijbers, J., Bootstrap methods for estimating uncertainty in Constrained Spherical Deconvolution fiber orientations, ISMRM, 16th Scientific Meeting and Exhibition. Toronto, Canada, p. 3324, 2008.
P. Bladt, van Osch, M. J. P., Achten, E., den Dekker, A. J., and Sijbers, J., Beyond the consensus: what to include when 5 minutes are available for perfusion imaging by PCASL?, 27th Annual Meeting of ISMRM, Montreal, Canada. 2019.
P. Bladt, van Osch, M. J. P., Achten, E., den Dekker, A. J., and Sijbers, J., Beyond the consensus: should measurement of T1 of blood and labeling efficiency be included and should a single- or multi-PLD protocol be used in a five-minute protocol for PCASL?, 11th Annual Meeting of ISMRM Benelux, January 17th 2019, Leiden, The Netherlands. 2019.
P. Bladt, van Osch, M. J. P., Achten, E., den Dekker, A. J., and Sijbers, J., Beyond the consensus: is sacrificing part of the PCASL scan time for measurement of labeling efficiency and T1 of blood beneficial?, University of Michigan international workshop on arterial spin labeling MRI: technical updates and clinical experience, March 9-10 2019, Ann Arbor, USA. 2019.PDF icon Download abstract (1.31 MB)
J. Fatermans, Van Aert, S., and den Dekker, A. J., Bayesian model-order selection in electron microscopy to detect atomic columns in noisy images, RBSM 2016, Brussels, Belgium. p. 53, 2016.
J. Fatermans, den Dekker, A. J., Gauquelin, N., Verbeeck, J., and Van Aert, S., Bayesian model selection for atom column detection from ABF-ADF STEM images, Virtual Early Career EMC 2020 (online), Copenhagen, Denmark. 2020.
J. Fatermans, den Dekker, A. J., Müller-Caspary, K., Lobato, I., and Van Aert, S., Bayesian analysis of noisy scanning transmission electron microscopy images for single atom detection, SCANDEM 2018, Technical University of Denmark, Kgs. Lyngby, Denmark. p. 95, 2018.
Z. Zahiri, Ribbens, B., Vanlanduit, S., and Scheunders, P., Automatic Detection of Surface Damages on Steel Structures using Near Infrared Hyperspectral Imaging, 9th Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing (WHISPERS). 2018.
J. Fatermans, den Dekker, A. J., and Van Aert, S., Atom detection from electron microscopy images, RBSM 2019, Louvain-la-Neuve, Belgium. p. 15, 2019.
J. Fatermans, den Dekker, A. J., O'Leary, C. M., Nellist, P. D., and Van Aert, S., Atom column detection from STEM images using the maximum a posteriori probability rule, MC 2019, Berlin, Germany. 2019.
B. Jeurissen, Leemans, A., Tournier, J. - D., Jones, D. K., and Sijbers, J., Assessing the implications of complex fiber configurations for DTI metrics in real data sets, ISMRM, 20th Scientific Meeting and Exhibition. Melbourne, Australia, p. 3584, 2012.
B. Jeurissen, Sijbers, J., and Tournier, J. - D., Assessing inter-subject variability of white matter response functions used for constrained spherical deconvolution, ISMRM 23th Annual Meeting, Toronto, Ontario, Canada, vol. 23. p. 2834, 2015.PDF icon Download abstract (780.16 KB)
D. Lacko, Huysmans, T., Claeskens, A., Verwulgen, S., Aerts, P., Sijbers, J., and De Bruyne, G., An Anthropometric Shape Model for the Design of Sports Helmets, European Conference on Protective Clothing (ECPC). 2014.
T. Roine, Jeurissen, B., Leemans, A., Philips, W., and Sijbers, J., Analysis and modeling of isotropic partial volume effects in diffusion MRI, Frontiers in Neuroinformatics, vol. 7. 2013.
B. G. Booth, Keijsers, N. L. W., Huysmans, T., and Sijbers, J., Advancing Analysis Techniques for Plantar Pressure Videos via Open-Access Contributions, IEEE International Symposium on Biomedical Imaging (ISBI'19) . 2019.PDF icon Download abstract (86 KB)
J. Lüken, Fleischmann, C., Sijbers, J., and De Beenhouwer, J., AdAPTS: An Adaptive Atom Probe Tomography Simulation Library, Microscopy and Microanalysis, vol. 30, no. 1. 2024.
J. Merckx, van Lith, B., Sijbers, J., and De Beenhouwer, J., Adaptive triangular mesh for phase contrast imaging, 5th international Conference on Tomography of Materials & Structures, 27the June - 1ste July, Grenoble, France. 2022.
G. Van Eyndhoven, Batenburg, K. J., and Sijbers, J., Accurate reconstruction of porous samples in CT, International Conference on Industrial Computed Tomography (ICT). 2014.
G. Ramos-Llordén, Beirinckx, Q., den Dekker, A. J., and Sijbers, J., Accurate and precise MRI relaxometry: the often disregarded but critical role of statistical parameter estimation, Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), 26th Annual Meeting. Paris, France, p. 5664, 2018.
B. Shafieizargar, Jeurissen, B., Poot, D. H. J., Van Audekerke, J., Verhoye, M., den Dekker, A. J., and Sijbers, J., Accelerated multi-shot diffusion weighted imaging with joint estimation of diffusion and phase parameters, Magn Reson Mater Phy, vol. 34. pp. S57-S58, 2021.
C. Smekens, Vanhevel, F., Beirinckx, Q., Janssens, T., and Van Dyck, P., Accelerated Dual-contrast Three-dimensional Knee Magnetic Resonance Imaging Using Super-resolution Reconstructed Deep Learning-enhanced Two-dimensional Dixon Turbo Spin-echo Imaging, Seminars in Musculoskeletal Radiology, vol. 27, no. S01. Thieme Medical Publishers, Inc., pp. 1-24, 2023.
P. Bladt, den Dekker, A. J., Clement, P., Achten, E., and Sijbers, J., Absolute CBF quantification in multi-time point ASL: the T1 issue, 10th Annual Meeting of ISMRM Benelux, January 26th 2018, Antwerp, Belgium. 2018.

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