@article {1715,
	title = {A distributed ASTRA Toolbox},
	journal = {Advanced Structural and Chemical Imaging},
	volume = {2},
	year = {2016},
	doi = {10.1186/s40679-016-0032-z},
	author = {Willem Jan Palenstijn and Jeroen B{\'e}dorf and Jan Sijbers and Kees Joost Batenburg}
}
@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 {1664,
	title = {Integration of TomoPy and the ASTRA toolbox for advanced processing and reconstruction of tomographic synchrotron data},
	journal = {Journal of Synchrotron Radiation},
	volume = {23},
	year = {2016},
	pages = {842-849},
	doi = {10.1107/S1600577516005658},
	author = {Daan Pelt and Doga Gursoy and Willem Jan Palenstijn and Jan Sijbers and Francesco De Carlo and Kees Joost Batenburg}
}
@article {1674,
	title = {Quantitative 3D analysis of huge nanoparticle assemblies.},
	journal = {Nanoscale},
	volume = {8},
	year = {2016},
	month = {2016 Jan 7},
	pages = {292-9},
	abstract = {Nanoparticle assemblies can be investigated in 3 dimensions using electron tomography. However, it is not straightforward to obtain quantitative information such as the number of particles or their relative position. This becomes particularly difficult when the number of particles increases. We propose a novel approach in which prior information on the shape of the individual particles is exploited. It improves the quality of the reconstruction of these complex assemblies significantly. Moreover, this quantitative Sparse Sphere Reconstruction approach yields directly the number of particles and their position as an output of the reconstruction technique, enabling a detailed 3D analysis of assemblies with as many as 10,000 particles. The approach can also be used to reconstruct objects based on a very limited number of projections, which opens up possibilities to investigate beam sensitive assemblies where previous reconstructions with the available electron tomography techniques failed.},
	issn = {2040-3372},
	doi = {10.1039/c5nr06962a},
	author = {Daniele Zanaga and Folkert Bleichrodt and Thomas Altantzis and Winckelmans, Naomi and Willem Jan Palenstijn and Jan Sijbers and de Nijs, Bart and Marijn A van Huis and Ana S{\'a}nchez-Iglesias and Luis M Liz-Marzán and van Blaaderen, Alfons and Kees Joost Batenburg and Sara Bals and Van Tendeloo, Gustaaf}
}
@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}
}
@article {1563,
	title = {Modeling blurring effects due to continuous gantry rotation: application to region of interest tomography},
	journal = {Medical Physics},
	volume = {42},
	year = {2015},
	pages = {2709-2717},
	doi = { http://dx.doi.org/10.1118/1.4914422},
	author = {Jeroen Cant and Willem Jan Palenstijn and Gert Behiels and Jan Sijbers}
}
@conference {1561,
	title = {Partial discreteness: a new type of prior knowledge for MRI reconstruction},
	volume = {23},
	year = {2015},
	pages = {3417},
	author = {Gabriel Ramos-Llord{\'e}n and Segers, Hilde and Willem Jan Palenstijn and Arnold Jan den Dekker and Jan Sijbers}
}
@inproceedings {7351081,
	title = {Partially discrete magnetic resonance tomography},
	booktitle = {2015 IEEE International Conference on Image Processing (ICIP)},
	year = {2015},
	month = {Sept},
	pages = {1653-1657},
	keywords = {Bayes methods, Bayesian segmentation, Bayesian segmentation regularization, biomedical MRI, Breast, breast implant MR images, computerised tomography, Discrete tomography, image reconstruction, image representation, image segmentation, Implants, medical image processing, MR angiography images, MR image reconstruction, MRI, partially discrete magnetic resonance tomography, reconstruction, Tomography, TV},
	doi = {10.1109/ICIP.2015.7351081},
	author = {Gabriel Ramos-Llord{\'e}n and Segers, Hilde and Willem Jan Palenstijn and Arnold Jan den Dekker and Jan Sijbers}
}
@article {1626,
	title = {Quantitative 3D analysis of huge nanoparticle assemblies},
	journal = {Nanoscale},
	volume = {8},
	year = {2015},
	pages = {292-299},
	doi = {10.1039/C5NR06962A},
	author = {Daniele Zanaga and Folkert Bleichrodt and Thomas Altantzis and Winckelmans, Naomi and Willem Jan Palenstijn and Jan Sijbers and B. van Nijs and Marijn A van Huis and van Blaaderen, Alfons and Ana S{\'a}nchez-Iglesias and Luis M Liz-Marzán and Kees Joost Batenburg and Sara Bals and Van Tendeloo, Gustaaf}
}
@inproceedings {1499,
	title = {3D imaging of semiconductor components by discrete laminography},
	booktitle = {Stress induced phenomena and reliability in 3D microelectronics: AIP Conference Proceedings},
	volume = {1601},
	year = {2014},
	pages = {168-179},
	doi = { http://dx.doi.org/10.1063/1.4881350},
	author = {Kees Joost Batenburg and Willem Jan Palenstijn and Jan Sijbers}
}
@inproceedings {1495,
	title = {Tomographic image reconstruction from continuous projections},
	booktitle = {The third international conference on image formation in X-ray computed tomography},
	year = {2014},
	month = {06/2014},
	pages = {295-298},
	address = {Salt Lake City, USA},
	author = {Jeroen Cant and Willem Jan Palenstijn and Gert Behiels and Jan Sijbers}
}
@article {1392,
	title = {Advances in X-ray diffraction contrast tomography: flexibility in the setup geometry and application to multiphase materials},
	journal = {Journal of Applied Crystallography},
	volume = {46},
	year = {2013},
	month = {04/2013},
	pages = {297 - 311},
	issn = {0021-8898},
	doi = {10.1107/S0021889813002604},
	author = {Reischig, P{\'e}ter and King, Andrew and Nervo, Laura and Vigan{\'o}, Nicola and Guilhem, Yoann and Willem Jan Palenstijn and Kees Joost Batenburg and Preuss, Michael and Ludwig, Wolfgang}
}
@inproceedings {1403,
	title = {The ASTRA Tomography Toolbox},
	booktitle = {13th International Conference on Computational and Mathematical Methods in Science and Engineering, CMMSE 2013},
	volume = {4},
	year = {2013},
	pages = {1139-1145},
	isbn = {978-84-616-2723-3},
	author = {Willem Jan Palenstijn and Kees Joost Batenburg and Jan Sijbers}
}
@conference {1405,
	title = {Discrete Tomography in MRI: a proof of concept},
	volume = {21},
	year = {2013},
	pages = {2662},
	author = {Segers, Hilde and Willem Jan Palenstijn and Kees Joost Batenburg and Jan Sijbers}
}
@article {1404,
	title = {Discrete Tomography in MRI: a Simulation Study},
	journal = {Fundamenta Informaticae},
	volume = {125},
	year = {2013},
	pages = {223-237},
	doi = {10.3233/FI-2013-861},
	author = {Segers, Hilde and Willem Jan Palenstijn and Kees Joost Batenburg and Jan Sijbers}
}
@article {1370,
	title = {Dynamic angle selection in binary tomography},
	journal = {Computer Vision and Image Understanding},
	volume = {117},
	year = {2013},
	pages = {306{\textendash}318},
	doi = {http://dx.doi.org/10.1016/j.cviu.2012.07.005},
	author = {Kees Joost Batenburg and Willem Jan Palenstijn and Peter Balazs and Jan Sijbers}
}
@conference {1714,
	title = {A framework for markerless alignment with full 3D flexibility},
	year = {2012},
	author = {Jan De Beenhouwer and Willem Jan Palenstijn and Folkert Bleichrodt and Kees Joost Batenburg and Jan Sijbers}
}
@conference {1430,
	title = {Segmentation of MR Images by k-space distance minimization: a proof of concept},
	volume = {25},
	year = {2012},
	pages = {63-64},
	author = {Segers, Hilde and Willem Jan Palenstijn and Kees Joost Batenburg and Jan Sijbers}
}
@inproceedings {1360,
	title = {Spatial Variations in Reconstruction Methods for CT},
	booktitle = {The Second International Conference on Image Formation in X-Ray Computed Tomography (CT Meeting)},
	year = {2012},
	month = {07/2012},
	pages = {170-173},
	author = {Linda Plantagie and Willem Jan Palenstijn and Jan Sijbers and Kees Joost Batenburg}
}
@article {1393,
	title = {Through the Looking-Glass, and What the Quadratic Camera Found There},
	journal = {The Mathematical Intelligencer},
	volume = {34},
	year = {2012},
	month = {9/2012},
	pages = {30 - 34},
	issn = {0343-6993},
	doi = {10.1007/s00283-012-9309-9},
	author = {de Smit, Bart and McClure, Mark and Willem Jan Palenstijn and Sparling, E. Isaac and Wagon, Stan}
}
@article {1249,
	title = {Performance improvements for iterative electron tomography reconstruction using graphics processing units (GPUs)},
	journal = {Journal of structural biology},
	volume = {176},
	year = {2011},
	month = {2011 Nov},
	pages = {250-253},
	abstract = {Iterative reconstruction algorithms are becoming increasingly important in electron tomography of biological samples. These algorithms, however, impose major computational demands. Parallelization must be employed to maintain acceptable running times. Graphics Processing Units (GPUs) have been demonstrated to be highly cost-effective for carrying out these computations with a high degree of parallelism. In a recent paper by Xu et al. (2010), a GPU implementation strategy was presented that obtains a speedup of an order of magnitude over a previously proposed GPU-based electron tomography implementation. In this technical note, we demonstrate that by making alternative design decisions in the GPU implementation, an additional speedup can be obtained, again of an order of magnitude. By carefully considering memory access locality when dividing the workload among blocks of threads, the GPU{\textquoteright}s cache is used more efficiently, making more effective use of the available memory bandwidth.},
	issn = {1095-8657},
	doi = {10.1016/j.jsb.2011.07.017},
	author = {Willem Jan Palenstijn and Kees Joost Batenburg and Jan Sijbers}
}
@inproceedings {1568,
	title = {Projection and backprojection in tomography: design choices and considerations},
	booktitle = {Workshop on Applications of Discrete Geometry and Mathematical Morphology},
	year = {2010},
	pages = {106-110},
	author = {Kees Joost Batenburg and Willem Jan Palenstijn and Jan Sijbers}
}
