Publications

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G. Tisson, “Reconstructie van Transversaal Getrunceerde Cone Beam Projecties in Micro-Tomografie”, University of Antwerp, Antwerp, 2006.
L. Tits, Somers, B., Heylen, R., Scheunders, P., and Coppin, P., “Improving the efficiency of MESMA through geometric unmixing principles”, in SPIE Remote Sensing, Drseden, Germany, 23-26 September , 2013, vol. 8892.
L. Tits, Heylen, R., Somers, B., Scheunders, P., and Coppin, P., “A geometric unmixing concept for the selection of optimal binary endmember combinations”, IEEE Geoscience and Remote Sensing letters, vol. 12, pp. 82-86, 2015.
J. - D. Tournier, Smith, R., Raffelt, D., Tabbara, R., Dhollander, T., Pietsch, M., Christiaens, D., Jeurissen, B., Yeh, C. - H., and Connelly, A., “MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation.”, Neuroimage, p. 116137, 2019.
I. J. Tsang, Tsang, I. R., De Boeck, B., and Van Dyck, D., “Scaling and critical probability for cluster size and lattice animals diversity on randomly occupied square lattices”, Journal of Physics A: Mathematical and General, vol. 33, pp. 2739-2754, 2000.
I. R. Tsang, Tsang, I. J., Scheunders, P., and Van Dyck, D., “Pattern Recognition using neighborhood coding”, in Proc. CVPRIP'98, Intern. Workshop on Computer Vision, Pattern Recognition and Image Processing , North Carolina, october 23-28, 1998, pp. 250-253.
I. R. Tsang, “Pattern Recognition and Complex Systems”, University of Antwerp, Antwerp, 2000.
I. R. Tsang and Tsang, I. J., “Cluster size diversity, percolation, and complex systems”, Physical Review E, vol. 60, pp. 2684-2698, 1999.
I. J. Tsang, “Pattern Recognition, Neighborhood Codes, and Lattice Animals”, University of Antwerp, Antwerp, 2000.
I. J. Tsang, Tsang, I. R., and Van Dyck, D., “Image processing using neighbourhood coding”, Pattern Recognition Letters, vol. 20, pp. 1279-1286, 1999.
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W. Van Aarle, Cant, J., De Beenhouwer, J., and Sijbers, J., “Discrete tomographic reconstruction from deliberately motion blurred X-ray projections”, in 6th Conference on Industrial Computed Tomography, Wels, Austria, 2016, pp. 1-6.PDF icon Download paper (444.66 KB)
W. Van Aarle, Batenburg, K. J., and Sijbers, J., “Threshold Selection for Segmentation of Dense Objects in Tomograms”, in International Symposium on Visual Computing, Berlin Heidelberg, 2008, vol. 5358, pp. 700-709.
W. Van Aarle, Van Gompel, G., Batenburg, K. J., Van de Casteele, E., and Sijbers, J., “A 3-dimensional discrete tomography approach for superresolution micro-CT images: application to foams”, in The first international conference on image formation in X-ray computed tomography, 2010, pp. 45-48.PDF icon Download full paper (816.87 KB)
W. Van Aarle, “Tomographic segmentation and discrete tomography for quantitative analysis of transmission tomography data”, University of Antwerp, Antwerp, Belgium, 2012.PDF icon Download PhD thesis (39.16 MB)
W. Van Aarle, Batenburg, K. J., Van Gompel, G., Van de Casteele, E., and Sijbers, J., “Super-resolution for computed tomography based on discrete tomography”, IEEE Transactions on Image Processing, vol. 23, no. 3, pp. 1181 - 1193, 2014.PDF icon Download paper (2.24 MB)
W. Van Aarle, Ghysels, P., Sijbers, J., and Vanroose, W., “Memory access optimization for iterative tomography on many-core architectures”, in The 12th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2013, pp. 364-367.PDF icon fully3d_wvaarle.pdf (2.8 MB)
W. Van Aarle, van der Maar, S., Batenburg, K. J., and Sijbers, J., “Computed tomography on all scales using the ASTRA toolbox”, Liege Image Days 2008: Medical Imaging. 2008.PDF icon wvaarle_poster.pdf (610.59 KB)
W. Van Aarle, Palenstijn, W. J., De Beenhouwer, J., Altantzis, T., Bals, S., Batenburg, K. J., and Sijbers, J., “The ASTRA Toolbox: a platform for advanced algorithm development in electron tomography”, Ultramicroscopy, vol. 157, pp. 35–47, 2015.PDF icon Download paper (3.47 MB)
W. Van Aarle, Crombecq, K., Couckuyt, I., Batenburg, K. J., and Sijbers, J., “Efficient parameter estimation for discrete tomography using adaptive modeling”, in 11th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2011.PDF icon Download full paper (853.19 KB)
W. Van Aarle, Batenburg, K. J., and Sijbers, J., “Optimal threshold selection for segmentation of dense homogeneous objects in tomographic reconstructions”, IEEE Transactions on Medical Imaging, vol. 30, pp. 980-989, 2011.PDF icon Download paper (1.59 MB)
W. Van Aarle, Batenburg, K. J., and Sijbers, J., “Automatic parameter estimation for the Discrete Algebraic Reconstruction Technique (DART)”, IEEE Transactions on Image Processing, vol. 21, no. 11, pp. 4608-4621, 2012.PDF icon Download paper (3.91 MB)
W. Van Aarle, Palenstijn, W. J., Cant, J., Janssens, E., Bleichrodt, F., Dabravolski, A., De Beenhouwer, J., Batenburg, K. J., and Sijbers, J., “Fast and Flexible X-ray Tomography Using the ASTRA Toolbox”, Optics Express, vol. 24, pp. 25129-25147, 2016.PDF icon Download paper (8.34 MB)
W. Van Aarle, Ludwig, W., King, A., and Penumadu, D., “An accurate projection model for diffraction image formation and inversion using a polychromatic cone beam”, Journal of Applied Crystallography, vol. 48, pp. 334-343, 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.
S. Van Aert, De wael, A., Fatermans, J., Lobato, I., De Backer, A., Jones, L., den Dekker, A. J., and Nellist, P. D., “Quantifying 3D atomic structures of nanomaterials and their dynamics using model-based scanning transmission electron microscopy”, Spring Meeting of the EMRS, Nice, France. 2019.

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