@conference {2361,
	title = {Semi-automatic tumor contouring method using PET and MRI medical images},
	booktitle = {Computational Vision and Medical Image Processing},
	year = {2015},
	month = {Oct 2015},
	pages = {209-214},
	publisher = {CRC Press - Taylor\&Francis Group},
	organization = {CRC Press - Taylor\&Francis Group},
	type = {Conference paper},
	address = {Tenerife, Spain},
	isbn = {978-1-138-02926-2},
	author = {Szabolcs Urb{\'a}n and L{\'a}szl{\'o} Rusk{\'o} and Antal Nagy},
	editor = {Joao Manuel and R S Tavares and R M Natal Jorge}
}
@conference {1940,
	title = {Multi-resolution method for binary tomography},
	booktitle = {Workshop on Discrete Tomography and its Applications (WDTA)},
	volume = {Proceedings of the Workshop on Discrete Tomography and its Applications (WDTA)},
	year = {2005},
	month = {2005},
	pages = {299-311},
	type = {Conference paper},
	address = {New York City, USA},
	abstract = {<p>Multi-resolution and region-growing strategies have been successfully used in several fields of image processing. In this paper we investigate how these two strategies can be applied for binary tomography. We included these strategies into a reconstruction method using simulated annealing and tested these new methods on different images. <tt> </tt></p>},
	doi = {10.1016/j.endm.2005.05.070},
	author = {L{\'a}szl{\'o} Rusk{\'o} and Attila Kuba}
}
@article {1856,
	title = {Preliminary studies of discrete tomography in neutron imaging},
	journal = {IEEE Transactions on Nuclear Science},
	volume = {52},
	year = {2005},
	month = {2005},
	pages = {380-385},
	publisher = {IEEE},
	type = {Journal Article},
	abstract = {<p>Discrete tomography (DT) is a new technique to reconstruct discrete images from their projections (like neutron images). The reconstruction methods in DT are different from the conventional ones, because the created images may contain only a few numbers of given discrete values. One of the main reasons to apply DT is that hopefully we need only a few numbers of projections. In many applications we have a situation where we know the material components of the object to be studied, that is, we know the discrete values of the image to be reconstructed. Using discreteness and some a priori information we can apply several DT methods in neutron imaging. Most of the DT reconstruction methods are reducing the problem to an optimization task. We tried two such methods on software and physical phantoms. In these experiments we investigated the effects of the following parameters: number of projections, noise levels, and complexity of the object to be reconstructed. We also developed a software system, called DIRECT, for testing different DT methods, to compare them and to present the reconstructed objects. <tt> </tt></p>},
	doi = {10.1109/TNS.2005.843657},
	author = {Atila Kuba and L{\'a}szl{\'o} Rusk{\'o} and Lajos Rodek and Zolt{\'a}n Kiss}
}
