Publications

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Conference Abstract
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)
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”, 26th Annual Meeting of the ISMRM. Paris, France, 2018.
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.
G. Van Eyndhoven, Batenburg, K. J., Kazantsev, D., Van Nieuwenhove, V., Lee, P. D., Dobson, K. J., and Sijbers, J., “A 4D CT reconstruction algorithm for fast liquid flow imaging”, Applied Inverse Problems Conference, Helsinki. 2015.
A. Van Tongel, Toussaint, A., De Wilde, L., and Huysmans, T., “3D evaluation of clavicle fractures”, SECED-ESSE Congress of the european society for surgery of the shoulder and the elbow, Milano, Italy, September 16-19. 2015.
S. Van Aert, De Backer, A., De wael, A., Fatermans, J., Friedrich, T., Lobato, I., O'Leary, C. M., Varambhia, A., Altantzis, T., Jones, L., den Dekker, A. J., Nellist, P. D., and Bals, S., “3D Atomic Scale Quantification of Nanostructures and their Dynamics Using Model-based STEM”, Microscopy & Microanalysis 2020 (online), Milwaukee, United States. 2020.
Book Chapter
P. Scheunders, Duijster, A., and Zhang, Y., “Wavelet-based Multi/Hyperspectral Image Restoration and Fusion”, in Signal and Image Processing for Remote Sensing, C. H. Chen, Ed. Taylor and Francis, 2012, pp. 505-523.
P. Scheunders, “A wavelet representation of multispectral images; in: Frontiers of Remote Sensing Information Processing”, C. H. Chen, Ed. World Scientific, 2003, pp. 197-224.
D. Van Dyck, Bettens, E., Sijbers, J., den Dekker, A. J., van den Bos, A., Op de Beeck, M., Jansen, J., and Zandbergen, H., “Resolving atoms: what do we have? what do we want?”, in Institute of Physics Conference Series, vol. 153, J. M. Rodenburg, Ed. Cambridge, UK: Institute of Physics Ltd, 1997, pp. 95-100.
J. Sijbers and Van Der Linden, A., “Magnetic Resonance Imaging, In: Encyclopedia of Optical Engineering”, Marcel Dekker, 2003, pp. 1237-1258.
G. Van Eyndhoven and Sijbers, J., “Iterative reconstruction methods in X-ray CT”, in Handbook of X-ray Imaging: Physics and Technology, CRC Press, 2018, pp. 693-712.
J. Veraart and Sijbers, J., “Diffusion Kurtosis Imaging”, in Diffusion Tensor Imaging: a practical handbook, New York: Springer-Verlag, 2016, pp. 407-418.
S. Scataglini, Danckaers, F., Huysmans, T., Sijbers, J., and Andreoni, G., “Design smart clothing using digital human models”, in DHM and Posturography, Academic Press, 2019, pp. 683-698.
P. Scheunders, Tuia, D., and Moser, G., “Contributions of Machine Learning to Remote Sensing Data Analysis”, in Comprehensive Remote Sensing, vol. 2, 2018, pp. 199-243.
R. Pinho, Tournoy, K. G., and Sijbers, J., “Computer-Aided Assessment and Stenting of Tracheal Stenosis”, in Computer Aided Diagnosis of Lung Imaging, A. El-Baz, Ed. 2010.PDF icon Download chapter (4.67 MB)
J. Juntu, Schepper, A. D. M., Van Dyck, P., Van Dyck, D., Gielen, J. L., Parizel, P. M., and Sijbers, J., “Classification of Soft Tissue Tumors by Machine Learning Algorithms”, in Soft Tissue Tumors, InTech, 2011.PDF icon Book.Chapter-Copy.Sent_.to_.InTech-(21.07.2011).pdf (732.07 KB)
A. J. den Dekker and Sijbers, J., “Advanced Image Processing in Magnetic Resonance Imaging”, in Series: Signal Processing and Communications, vol. 27, L. Landini, Ed. Marcel Dekker, 2005, pp. 85-143.
F. Danckaers, Huysmans, T., and Sijbers, J., “Adaptable digital human models from 3D body scans”, in DHM and Posturography, vol. VI, Academic Press, 2019, pp. 459-470.

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