@article {1731,
	title = {Discrete tomography in an in vivo small animal bone study},
	journal = {Journal of Bone and Mineral Metabolism},
	volume = {36},
	year = {2018},
	pages = {40{\textendash}53},
	doi = {10.1007/s00774-017-0815-x},
	author = {Elke Van de Casteele and Egon Perilli and Wim Van Aarle and Karen Reynolds and Jan Sijbers}
}
@inproceedings {1652,
	title = {Discrete tomographic reconstruction from deliberately motion blurred X-ray projections},
	booktitle = {6th Conference on Industrial Computed Tomography},
	year = {2016},
	pages = {1-6},
	address = {Wels, Austria},
	author = {Wim Van Aarle and Jeroen Cant and Jan De Beenhouwer and Jan Sijbers}
}
@article {1600,
	title = {Easy implementation of advanced tomography algorithms using the ASTRA toolbox with Spot operators},
	journal = {Numerical Algorithms},
	volume = {71},
	number = {3},
	year = {2016},
	pages = {673-697},
	doi = {10.1007/s11075-015-0016-4},
	author = {Folkert Bleichrodt and Tristan van Leeuwen and Willem Jan Palenstijn and Wim Van Aarle and Jan Sijbers and Kees Joost Batenburg}
}
@article {1701,
	title = {Fast and Flexible X-ray Tomography Using the ASTRA Toolbox},
	journal = {Optics Express},
	volume = {24},
	number = {22},
	year = {2016},
	pages = {25129-25147},
	doi = {10.1364/OE.24.025129},
	author = {Wim Van Aarle and Willem Jan Palenstijn and Jeroen Cant and Eline Janssens and Folkert Bleichrodt and Andrei Dabravolski and Jan De Beenhouwer and Kees Joost Batenburg and Jan Sijbers}
}
@article {1541,
	title = {An accurate projection model for diffraction image formation and inversion using a polychromatic cone beam},
	journal = {Journal of Applied Crystallography},
	volume = {48},
	year = {2015},
	pages = {334-343},
	author = {Wim Van Aarle and Ludwig, Wolfgang and King, Andrew and Dayakar Penumadu}
}
@article {1580,
	title = {The ASTRA Toolbox: a platform for advanced algorithm development in electron tomography},
	journal = {Ultramicroscopy},
	volume = {157},
	year = {2015},
	pages = {35{\textendash}47},
	doi = {10.1016/j.ultramic.2015.05.002},
	author = {Wim Van Aarle and Willem Jan Palenstijn and Jan De Beenhouwer and Thomas Altantzis and Sara Bals and Kees Joost Batenburg and Jan Sijbers}
}
@inproceedings {1542,
	title = {Filtered backprojection using algebraic filters; Application to biomedical micro-CT data},
	booktitle = {International Symposium on Biomedical Imaging (ISBI)},
	year = {2015},
	pages = {1596-1599},
	author = {Linda Plantagie and Wim Van Aarle and Kees Joost Batenburg and Jan Sijbers}
}
@article {1540,
	title = {A multi-level preconditioned Krylov method for the efficient solution of algebraic tomographic reconstruction problems},
	journal = {Journal of Computational and Applied Mathematics},
	volume = {238},
	year = {2015},
	pages = {1-16},
	abstract = {Classical iterative methods for tomographic reconstruction include the class of Algebraic Reconstruction Techniques (ART). Convergence of these stationary linear iterative methods is however notably slow. In this paper we propose the use of Krylov solvers for tomographic linear inversion problems. These advanced iterative methods feature fast convergence at the expense of a higher computational cost per iteration, causing them to be generally uncompetitive without the inclusion of a suitable preconditioner. Combining elements from standard multigrid (MG) solvers and the theory of wavelets, a novel wavelet-based multi-level (WMG) preconditioner is introduced, which is shown to significantly speed-up Krylov convergence. The performance of the WMG-preconditioned Krylov method is analyzed through a spectral analysis, and the approach is compared to existing methods like the classical Simultaneous Iterative Reconstruction Technique (SIRT) and unpreconditioned Krylov methods on a 2D tomographic benchmark problem. Numerical experiments are promising, showing the method to be competitive with the classical Algebraic Reconstruction Techniques in terms of convergence speed and overall performance (CPU time) as well as precision of the reconstruction. },
	doi = {doi:10.1016/j.cam.2014.12.044},
	author = {Siegfried Cools and Pieter Ghysels and Wim Van Aarle and Jan Sijbers and Wim Vanroose}
}
@article {1437,
	title = {Super-resolution for computed tomography based on discrete tomography},
	journal = {IEEE Transactions on Image Processing},
	volume = {23},
	year = {2014},
	pages = {1181 - 1193},
	doi = {10.1109/TIP.2013.2297025},
	author = {Wim Van Aarle and Kees Joost Batenburg and Gert Van Gompel and Elke Van de Casteele and Jan Sijbers}
}
@article {1407,
	title = {DART: a new approach for super-resolution reconstruction of license plates},
	journal = {Journal of Electronic Imaging},
	volume = {22},
	year = {2013},
	chapter = {041111},
	doi = {10.1117/1.JEI.22.4.041111},
	url = {http://electronicimaging.spiedigitallibrary.org/article.aspx?articleid=1733763},
	author = {Karim Zarei Zefreh and Wim Van Aarle and Kees Joost Batenburg and Jan Sijbers}
}
@inproceedings {1442,
	title = {Memory access optimization for iterative tomography on many-core architectures},
	booktitle = {The 12th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine},
	year = {2013},
	pages = {364-367},
	author = {Wim Van Aarle and Pieter Ghysels and Jan Sijbers and Wim Vanroose}
}
@article {1419,
	title = {Super-Resolution of License Plate Images using Algebraic Reconstruction Technique},
	journal = {Journal of Image and Graphics},
	volume = {1},
	year = {2013},
	month = {2013},
	pages = {94 - 98},
	publisher = {Engineering and Technology Publishing (ETP)},
	address = {USA},
	abstract = {In this paper, an iterative super-resolution reconstruction method is introduced for license plate recognition. A high-resolution image of the license plate is reconstructed by fusing the information derived from a set of subpixel shifted low-resolution images. The reconstruction problem is formulated as a system of linear equations that is solved by using the simultaneous algebraic reconstruction technique (SIRT). Simulation experiments show that SIRT can reconstruct a HR image with superior quality compared to conventional super-resolution reconstruction methods.},
	keywords = {algebraic reconstruction technique, license plate, reconstruction, SIRT, super-resolution},
	issn = {23013699},
	doi = {10.12720/joig.1.2.94-98},
	url = {http://www.joig.org/index.php?m=content\&c=index\&a=show\&catid=31\&id=41},
	author = {Karim Zarei Zefreh and Wim Van Aarle and Kees Joost Batenburg and Jan Sijbers}
}
@article {1350,
	title = {Automatic parameter estimation for the Discrete Algebraic Reconstruction Technique (DART)},
	journal = {IEEE Transactions on Image Processing},
	volume = {21},
	year = {2012},
	pages = {4608-4621},
	doi = {10.1109/TIP.2012.2206042},
	author = {Wim Van Aarle and Kees Joost Batenburg and Jan Sijbers}
}
@mastersthesis {1327,
	title = {Tomographic segmentation and discrete tomography for quantitative analysis of transmission tomography data},
	year = {2012},
	pages = {190},
	school = {University of Antwerp},
	type = {PhD thesis},
	address = {Antwerp, Belgium},
	author = {Wim Van Aarle}
}
@inproceedings {1429,
	title = {Efficient parameter estimation for discrete tomography using adaptive modeling},
	booktitle = {11th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine},
	year = {2011},
	month = {07/2011},
	author = {Wim Van Aarle and K. Crombecq and I. Couckuyt and Kees Joost Batenburg and Jan Sijbers}
}
@article {wvaarlejbatenbujsijbers2011,
	title = {Optimal threshold selection for segmentation of dense homogeneous objects in tomographic reconstructions},
	journal = {IEEE Transactions on Medical Imaging},
	volume = {30},
	number = {4},
	year = {2011},
	pages = {980-989},
	doi = {http://dx.doi.org/doi:10.1109/TMI.2010.2104328},
	author = {Wim Van Aarle and Kees Joost Batenburg and Jan Sijbers}
}
@article {jbatenbuwvaarlejsijbers2011,
	title = {A Semi-Automatic Algorithm for Grey Level Estimation in Tomography},
	journal = {Pattern Recognition Letters},
	volume = {32},
	number = {9},
	year = {2011},
	month = {July},
	pages = {1395-1405},
	author = {Kees Joost Batenburg and Wim Van Aarle and Jan Sijbers}
}
@inproceedings {wvaarlegvgompeljbatenbuevdcastejsijbers2010,
	title = {A 3-dimensional discrete tomography approach for superresolution micro-CT images: application to foams},
	booktitle = {The first international conference on image formation in X-ray computed tomography},
	year = {2010},
	month = {June},
	pages = {45-48},
	author = {Wim Van Aarle and Gert Van Gompel and Kees Joost Batenburg and Elke Van de Casteele and Jan Sijbers},
	editor = {Fr{\'e}d{\'e}ric Noo}
}
@inproceedings {gvgompeljbatenbuevdcastewvaarlejsijbers2010,
	title = {A discrete tomography approach for superresolution micro-CT images},
	booktitle = {IEEE International Symposium on Biomedical Imaging},
	year = {2010},
	month = {April},
	pages = {816-819},
	address = {Rotterdam},
	author = {Gert Van Gompel and Kees Joost Batenburg and Elke Van de Casteele and Wim Van Aarle and Jan Sijbers}
}
@inproceedings {jbatenbuwvaarlejsijbers2009,
	title = {Grey Level Estimation for Discrete Tomography},
	booktitle = {Discrete Geometry for Computer Imaging},
	series = {Lecture Notes in Computer Science},
	volume = {5810},
	year = {2009},
	month = {September},
	pages = {517-529},
	publisher = {Springer},
	organization = {Springer},
	doi = {https://doi.org/10.1007/978-3-642-04397-0_44},
	author = {Kees Joost Batenburg and Wim Van Aarle and Jan Sijbers},
	editor = {Srecko Brlek}
}
@conference {1493,
	title = {Computed tomography on all scales using the ASTRA toolbox},
	year = {2008},
	author = {Wim Van Aarle and S. van der Maar and Kees Joost Batenburg and Jan Sijbers}
}
@inproceedings {wvaarlejbatenbujsijbers2008,
	title = {Threshold Selection for Segmentation of Dense Objects in Tomograms},
	booktitle = {International Symposium on Visual Computing},
	series = {Lecture Notes on Computer Science},
	volume = {5358},
	year = {2008},
	month = {December},
	pages = {700-709},
	publisher = {Springer-Verlag},
	organization = {Springer-Verlag},
	address = {Berlin Heidelberg},
	author = {Wim Van Aarle and Kees Joost Batenburg and Jan Sijbers},
	editor = {G. Bebis}
}
