<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Varga</style></author><author><style face="normal" font="default" size="100%">Péter Balázs</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Discrete tomographic reconstruction via adaptive weighting of gradient descents</style></title><secondary-title><style face="normal" font="default" size="100%">Computer Methods in Biomechanics and Biomedical Engineering: Imaging &amp; Visualization</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2015</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Feb 2014</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Taylor&amp;Francis</style></publisher><volume><style face="normal" font="default" size="100%">3</style></volume><pages><style face="normal" font="default" size="100%">101-109</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Discrete tomography (DT) is a set of tools for reconstructing the inner structure of objects consisting of only few different homogeneous materials. We propose a new method for multivalued DT, which performs the reconstruction as an energy minimisation task. For this algorithm, we define an energy function that can mathematically formulate the reconstruction task, and design a novel optimisation process for approximating the minima of this energy function. We validate the algorithm by comparing its performance with other cutting-edge reconstruction algorithms from the literature. We show that our method can compete with the currently used reconstruction techniques and under certain circumstances (e.g. with a low number of projections, or when the projection data are affected by random noise) it can even outperform them.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">2</style></issue><work-type><style face="normal" font="default" size="100%">Journal article</style></work-type><section><style face="normal" font="default" size="100%">101</style></section></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Varga</style></author><author><style face="normal" font="default" size="100%">Melinda Katona</style></author><author><style face="normal" font="default" size="100%">Tamás Grósz</style></author><author><style face="normal" font="default" size="100%">József Dombi</style></author><author><style face="normal" font="default" size="100%">Attila Kovács</style></author><author><style face="normal" font="default" size="100%">Rózsa Dégi</style></author><author><style face="normal" font="default" size="100%">László G Nyúl</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Időskori makula degeneráció kvantitatív jellemzése SD-OCT képek automatikus elemzésével</style></title><secondary-title><style face="normal" font="default" size="100%">A XXVIII. Neumann Kollokvium konferencia-kiadványa</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2015</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Nov 2015</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Neumann János Számítógép-tudományi Társaság</style></publisher><pub-location><style face="normal" font="default" size="100%">Veszprém, Hungary</style></pub-location><pages><style face="normal" font="default" size="100%">43-48.</style></pages><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Péter Balázs</style></author><author><style face="normal" font="default" size="100%">Endre Katona</style></author><author><style face="normal" font="default" size="100%">Zoltan Kato</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">Gábor Németh</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Kálmán Palágyi</style></author><author><style face="normal" font="default" size="100%">Attila Tanacs</style></author><author><style face="normal" font="default" size="100%">László Gábor Varga</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Roland Kunkli</style></author><author><style face="normal" font="default" size="100%">Ildikó Papp</style></author><author><style face="normal" font="default" size="100%">Edéné Rutkovszky</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Képfeldolgozás a szegedi informatikus-képzésben</style></title><secondary-title><style face="normal" font="default" size="100%">Informatika a felsőoktatásban 2014</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2014</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">University of Debrecen</style></publisher><pub-location><style face="normal" font="default" size="100%">Debrecen, Hungary</style></pub-location><pages><style face="normal" font="default" size="100%">667-675</style></pages><language><style face="normal" font="default" size="100%">hun</style></language><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Varga</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">Péter Balázs</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Local and global uncertainty in binary tomographic reconstruction</style></title><secondary-title><style face="normal" font="default" size="100%">COMPUTER VISION AND IMAGE UNDERSTANDING</style></secondary-title><short-title><style face="normal" font="default" size="100%">COMPUT VIS IMAGE UND</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2014</style></date></pub-dates></dates><isbn><style face="normal" font="default" size="100%">1077-3142</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;In binary tomography the goal is to reconstruct the innerstructure of homogeneous objects from their projections. This is usually required from a low number of projections, which are also likely to be aﬀected by noise and measurement errors. In general, the distorted and incomplete projection data holds insuﬃcient information for the correct reconstruction of the original object. In this paper, we describe two methods for approximating the local uncertainty of the reconstructions, i.e., identifying how the information stored in the projections determine each part of the reconstructed image. These methods can measure the uncertainty of the reconstruction without any knowledge from the original object itself. Moreover, we provide a global uncertainty measure that can assess the information content of a projection set and predict the error to be expected in the reconstruction of a homogeneous object. We also give an experimental evaluation of our proposed methods, mention some of their possible applications, and describe how the uncertainty measure can be used to improve the performance of the DART reconstruction algorithm.&lt;/p&gt;</style></abstract><work-type><style face="normal" font="default" size="100%">Journal article</style></work-type><notes><style face="normal" font="default" size="100%">Art. No.: S1077-3142(14)00117-9doi: 10.1016/j.cviu.2014.05.006Article in Press</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Varga</style></author><author><style face="normal" font="default" size="100%">Péter Balázs</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">László Czúni</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Gradiens módszerek automatikus súlyozásán alapuló diszkrét tomográfiai eljárás</style></title><secondary-title><style face="normal" font="default" size="100%">A Képfeldolgozók és Alakfelismerők Társaságának konferenciája - KÉPAF 2013</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2013</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Jan 2013</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">NJSZT-KÉPAF</style></publisher><pub-location><style face="normal" font="default" size="100%">Veszprém</style></pub-location><pages><style face="normal" font="default" size="100%">210 - 223</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Varga</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">Péter Balázs</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Martin Kampel</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Local uncertainty in binary tomographic reconstruction</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the IASTED International Conference on Signal Processing, Pattern Recognition and Applications (SPPRA 2013)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2013</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Feb 2013</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">IASTED - Acta Press</style></publisher><pub-location><style face="normal" font="default" size="100%">Calgary</style></pub-location><pages><style face="normal" font="default" size="100%">490 - 496</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;We describe a new approach for the uncertainty problem arisingin the field of discrete tomography, when the low number of projections does not hold enough information for an accurate, and reliable reconstruction. In this case the lack of information results in uncertain parts on the reconstructed image which are not determined by the projections and cannot be reliably reconstructed without additional information. We provide a method that can approximate this local uncertainty of reconstructions, and show how each pixel of the reconstructed image is determined by a set of given projections. We also give experimental results for validating our approach.&lt;/p&gt;</style></abstract><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type><notes><style face="normal" font="default" size="100%">ScopusID: 84876584488doi: 10.2316/P.2013.798-067</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Varga</style></author><author><style face="normal" font="default" size="100%">Péter Balázs</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Paolo Di Giamberardino</style></author><author><style face="normal" font="default" size="100%">Daniela Iacoviello</style></author><author><style face="normal" font="default" size="100%">Renato M Natal Jorge</style></author><author><style face="normal" font="default" size="100%">Joao Manuel R S Taveres</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">An energy minimization reconstruction algorithm for multivalued discrete tomography</style></title><secondary-title><style face="normal" font="default" size="100%">Computational Modelling of Objects Represented in Images: Fundamentals, Methods and Applications III</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2012</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">CRC Press - Taylor and Frances Group</style></publisher><pub-location><style face="normal" font="default" size="100%">London</style></pub-location><pages><style face="normal" font="default" size="100%">179 - 185</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;We propose a new algorithm for multivalued discrete tomography, that reconstructs images from few projections by approximating the minimum of a suitably constructed energy function with a deterministic optimization method. We also compare the proposed algorithm to other reconstruction techniques on software phantom images, in order to prove its applicability.&lt;/p&gt;</style></abstract><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Varga</style></author><author><style face="normal" font="default" size="100%">Péter Balázs</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A novel optimization-based reconstruction algorithm for multivalued discrete tomography</style></title><secondary-title><style face="normal" font="default" size="100%">Conference of PhD students in computer science. Volume of extended abstracts.</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">June 2012</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">University of Szeged, Institute of Informatics</style></publisher><pub-location><style face="normal" font="default" size="100%">Szeged</style></pub-location><pages><style face="normal" font="default" size="100%">57</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><work-type><style face="normal" font="default" size="100%">Abstract</style></work-type></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Varga</style></author><author><style face="normal" font="default" size="100%">Péter Balázs</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">An optimization-based reconstruction algorithm for multivalued discrete tomography</style></title><secondary-title><style face="normal" font="default" size="100%">Veszprém Optimization Conference: Advanced Algorithms (Vocal)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Dec 2012</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">University of Pannonia</style></publisher><pub-location><style face="normal" font="default" size="100%">Veszprém</style></pub-location><pages><style face="normal" font="default" size="100%">39 - 40</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Varga</style></author><author><style face="normal" font="default" size="100%">Péter Balázs</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Direction-dependency of binary tomographic reconstruction algorithms</style></title><secondary-title><style face="normal" font="default" size="100%">GRAPHICAL MODELS</style></secondary-title><short-title><style face="normal" font="default" size="100%">GRAPH MODELS</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Nov 2011</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">73</style></volume><pages><style face="normal" font="default" size="100%">365 - 375</style></pages><isbn><style face="normal" font="default" size="100%">1524-0703</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p id=&quot;sp015&quot;&gt;In this work we study the relation between the quality of a binary tomographic reconstruction and the choice of angles of the projections. We conduct experiments on a set of software phantoms by reconstructing them from different projection sets using three different discrete tomography reconstruction algorithms, and compare the accuracy of the corresponding reconstructions with suitable approaches. To validate our results for possible real-world applications, we conduct the experiments by adding random noise of different characteristics to the simulated projection data, and by applying small topological changes on the phantom images as well. In addition, we also discuss some consequences of the angle-selection dependency and possible practical applications arising from the field of non-destructive testing, too.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">6</style></issue><work-type><style face="normal" font="default" size="100%">Journal article</style></work-type><notes><style face="normal" font="default" size="100%">UT: 000296999100028ScopusID: 80054709026doi: 10.1016/j.gmod.2011.06.006</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Varga</style></author><author><style face="normal" font="default" size="100%">Péter Balázs</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Projection selection dependency in binary tomography</style></title><secondary-title><style face="normal" font="default" size="100%">ACTA CYBERNETICA-SZEGED</style></secondary-title><short-title><style face="normal" font="default" size="100%">ACTA CYBERN-SZEGED</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2011</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">University of Szeged, Institute of Informatics</style></publisher><pub-location><style face="normal" font="default" size="100%">Szeged</style></pub-location><volume><style face="normal" font="default" size="100%">20</style></volume><pages><style face="normal" font="default" size="100%">167 - 187</style></pages><isbn><style face="normal" font="default" size="100%">0324-721X</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;div class=&quot;ytab x-tabs-item-body&quot; id=&quot;abstract&quot; style=&quot;overflow: auto; display: block; visibility: visible; position: relative; left: 0px; top: 0px;&quot;&gt;&lt;div class=&quot;tabbody&quot; style=&quot;margin-left:10px; margin-top:10px; margin-right:10px; margin-bottom: 10px;&quot;&gt;&lt;div style=&quot;display:inline&quot;&gt;&lt;p&gt;It has already been shown that the choice of projection angles can significantly influence the quality of reconstructions in discrete tomography. In this contribution we summarize and extend the previous results by explaining and demonstrating tile effects of projection selection dependency, in a set of experimental software tests. We perform reconstructions of software phantoms, by using different binary tomography reconstruction algorithms, from different equiangular and non-equiangular projections sets, under various conditions (i.e., when the objects to be reconstructed undergo slight topological changes, or the projection data is affected by noise) and compare the results with suitable approaches. Based on our observations, we reveal regularities in the resulting data and discuss possible consequences of such projection selection dependency in binary tomography.&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue><work-type><style face="normal" font="default" size="100%">Journal article</style></work-type><notes><style face="normal" font="default" size="100%">ScopusID: 79960679541</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Varga</style></author><author><style face="normal" font="default" size="100%">Péter Balázs</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Zoltan Kato</style></author><author><style face="normal" font="default" size="100%">Kálmán Palágyi</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Vetületi irányfüggőség a bináris tomográfiában</style></title><secondary-title><style face="normal" font="default" size="100%">A Képfeldolgozók és Alakfelismerők Társaságának konferenciája - KÉPAF 2011</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Jan 2011</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">NJSZT</style></publisher><pub-location><style face="normal" font="default" size="100%">Szeged</style></pub-location><pages><style face="normal" font="default" size="100%">92 - 105</style></pages><language><style face="normal" font="default" size="100%">hun</style></language><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Varga</style></author><author><style face="normal" font="default" size="100%">Péter Balázs</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Reneta P Barneva</style></author><author><style face="normal" font="default" size="100%">Valentin E Brimkov</style></author><author><style face="normal" font="default" size="100%">Herbert A Hauptman</style></author><author><style face="normal" font="default" size="100%">Renato M Natal Jorge</style></author><author><style face="normal" font="default" size="100%">João Manuel R S Tavares</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Direction-dependency of a binary tomographic reconstruction algorithm</style></title><secondary-title><style face="normal" font="default" size="100%">Computational Modeling of Objects Represented in Images</style></secondary-title><tertiary-title><style face="normal" font="default" size="100%">Lecture Notes in Computer Science</style></tertiary-title><short-title><style face="normal" font="default" size="100%">LNCS</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2010</style></year><pub-dates><date><style  face="normal" font="default" size="100%">May 2010</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">6026</style></number><publisher><style face="normal" font="default" size="100%">Springer Verlag</style></publisher><pub-location><style face="normal" font="default" size="100%">Buffalo, NY, USA</style></pub-location><pages><style face="normal" font="default" size="100%">242 - 253</style></pages><isbn><style face="normal" font="default" size="100%">978-3-642-12711-3</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;div class=&quot;abstract-content formatted&quot; itemprop=&quot;description&quot;&gt;&lt;p class=&quot;a-plus-plus&quot;&gt;We study how the quality of an image reconstructed by a binary tomographic algorithm depends on the direction of the observed object in the scanner, if only a few projections are available. To do so we conduct experiments on a set of software phantoms by reconstructing them form different projection sets using an algorithm based on D.C. programming (a method for minimizing the difference of convex functions), and compare the accuracy of the corresponding reconstructions by two suitable approaches. Based on the experiments, we discuss consequences on applications arising from the field of non-destructive testing, as well.&lt;/p&gt;&lt;/div&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;</style></abstract><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type><notes><style face="normal" font="default" size="100%">UT: 000279020400022ScopusID: 77952365308doi: 10.1007/978-3-642-12712-0_22</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Varga</style></author><author><style face="normal" font="default" size="100%">Péter Balázs</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Object rotation effects on binary tomographic reconstruction</style></title><secondary-title><style face="normal" font="default" size="100%">Conference of PhD Students in Computer Science. Volume of Extended Abstracts</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2010</style></year><pub-dates><date><style  face="normal" font="default" size="100%">June 2010</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">University of Szeged</style></publisher><pub-location><style face="normal" font="default" size="100%">Szeged, Hungary</style></pub-location><pages><style face="normal" font="default" size="100%">76</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><work-type><style face="normal" font="default" size="100%">Abstract</style></work-type></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Varga</style></author><author><style face="normal" font="default" size="100%">Péter Balázs</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Jacques Blanc-Talon</style></author><author><style face="normal" font="default" size="100%">Don Bone</style></author><author><style face="normal" font="default" size="100%">Wilfried Philips</style></author><author><style face="normal" font="default" size="100%">Dan Popescu</style></author><author><style face="normal" font="default" size="100%">Paul Scheunders</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Projection selection algorithms for discrete tomography</style></title><secondary-title><style face="normal" font="default" size="100%">Advanced Concepts for Intelligent Vision Systems</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2010</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Dec 2010</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Springer Verlag</style></publisher><pub-location><style face="normal" font="default" size="100%">Sydney, Australia </style></pub-location><pages><style face="normal" font="default" size="100%">390 - 401</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type><notes><style face="normal" font="default" size="100%">UT: 000287941400037ScopusID: 78650892305doi: 10.1007/978-3-642-17688-3_37</style></notes></record></records></xml>