<?xml version="1.0" encoding="UTF-8"?><xml><records><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%">Attila Tanacs</style></author><author><style face="normal" font="default" size="100%">András Majdik</style></author><author><style face="normal" font="default" size="100%">Levente Hajder</style></author><author><style face="normal" font="default" size="100%">Jozsef Molnar</style></author><author><style face="normal" font="default" size="100%">Zsolt Santa</style></author><author><style face="normal" font="default" size="100%">Zoltan Kato</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Chu-Song Chen</style></author><author><style face="normal" font="default" size="100%">Mohan Kankanhall</style></author><author><style face="normal" font="default" size="100%">Shang-Hong Lai</style></author><author><style face="normal" font="default" size="100%">Joo Hwee</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Collaborative Mobile 3D Reconstruction of Urban Scenes</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the ACCV Workshop on Intelligent Mobile and Egocentric Vision (ACCV-IMEV), Lecture Notes in Computer Science</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 2014</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Springer</style></publisher><pub-location><style face="normal" font="default" size="100%">Singapore</style></pub-location><pages><style face="normal" font="default" size="100%">1-16</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%">Attila Tanacs</style></author><author><style face="normal" font="default" size="100%">Joakim Lindbald</style></author><author><style face="normal" font="default" size="100%">Nataša Sladoje</style></author><author><style face="normal" font="default" size="100%">Zoltan Kato</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Estimation of linear deformations of 2D and 3D fuzzy objects</style></title><secondary-title><style face="normal" font="default" size="100%">PATTERN RECOGNITION</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%">Apr 2015</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Elsevier</style></publisher><volume><style face="normal" font="default" size="100%">48</style></volume><pages><style face="normal" font="default" size="100%">1387-1399</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p id=&quot;sp0080&quot;&gt;Registration is a fundamental task in image processing, it is used to determine geometric correspondences between images taken at different times and/or from different viewpoints. Here we propose a general framework in &lt;em&gt;n&lt;/em&gt;-dimensions to solve binary shape/object matching problems without the need of establishing additional point or other type of correspondences. The approach is based on generating and solving polynomial systems of equations. We also propose an extension which, provided that a suitable segmentation method can produce a fuzzy border representation, further increases the registration precision. Via numerous synthetic and real test we examine the different solution techniques of the polynomial systems of equations. We take into account a direct analytical, an iterative least-squares, and a combined method. Iterative and combined approaches produce the most precise results. Comparison is made against competing methods for rigid-body problems. Our method is orders of magnitude faster and is able to recover alignment regardless of the magnitude of the deformation compared to the narrow capture range of others. The applicability of the proposed methods is demonstrated on real X-ray images of hip replacement implants and 3D CT volumes of the pelvic area. Since the images must be parsed through only once, our approach is especially suitable for solving registration problems of large images.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">4</style></issue><work-type><style face="normal" font="default" size="100%">Journal Article</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%">Attila Tanacs</style></author><author><style face="normal" font="default" size="100%">András Majdik</style></author><author><style face="normal" font="default" size="100%">Jozsef Molnar</style></author><author><style face="normal" font="default" size="100%">Atul Rai</style></author><author><style face="normal" font="default" size="100%">Zoltan Kato</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Abdesselam Bouzerdoum</style></author><author><style face="normal" font="default" size="100%">Lei Wang</style></author><author><style face="normal" font="default" size="100%">Philip Ogunbona</style></author><author><style face="normal" font="default" size="100%">Wanqing Li</style></author><author><style face="normal" font="default" size="100%">Son Lam Phung</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Establishing Correspondences between Planar Image Patches</style></title><secondary-title><style face="normal" font="default" size="100%">International Conference on Digital Image Computing: Techniques and Applications (DICTA)</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%">IEEE</style></publisher><pub-location><style face="normal" font="default" size="100%">Wollongong, Australia</style></pub-location><pages><style face="normal" font="default" size="100%">1-7</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%">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>10</ref-type><contributors><secondary-authors><author><style face="normal" font="default" size="100%">Attila Tanacs</style></author><author><style face="normal" font="default" size="100%">Viktor Varga</style></author><author><style face="normal" font="default" size="100%">Veronika Vincze</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">X. Magyar Számítógépes Nyelvészeti Konferencia</style></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><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.inf.u-szeged.hu/rgai/mszny2014/</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Szegedi Tudományegyetem Informatikai Tanszékcsoport</style></publisher><pub-location><style face="normal" font="default" size="100%">Szeged</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><work-type><style face="normal" font="default" size="100%">Conference proceedings</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%">Attila Tanacs</style></author><author><style face="normal" font="default" size="100%">Joakim Lindblad</style></author><author><style face="normal" font="default" size="100%">Nataša Sladoje</style></author><author><style face="normal" font="default" size="100%">Zoltan Kato</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%">2D és 3D bináris objektumok lineáris deformáció-becslésének numerikus megoldási lehetőségei</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%">526 - 541</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></contributors><titles><title><style face="normal" font="default" size="100%">Car Recognition from Frontal Images in Mobile Environment</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of ISPA 2013 8th International Symposium on Image and Signal Processing and Analysis</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%">Sep 2013</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">University of Zagreb; University of Trieste</style></publisher><pub-location><style face="normal" font="default" size="100%">Trieste</style></pub-location><pages><style face="normal" font="default" size="100%">812 - 816</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%">Endre Juhász</style></author><author><style face="normal" font="default" size="100%">Attila Tanacs</style></author><author><style face="normal" font="default" size="100%">Zoltan Kato</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Giovanni Ramponi</style></author><author><style face="normal" font="default" size="100%">Sven Lončarić</style></author><author><style face="normal" font="default" size="100%">Alberto Carini</style></author><author><style face="normal" font="default" size="100%">Karen Egiazarian</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Evaluation of Point Matching Methods for Wide-baseline Stereo Correspondence on Mobile Platforms</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the International Symposium on Image and Signal Processing and Analysis (ISPA)</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%">Sep 2013</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pub-location><style face="normal" font="default" size="100%">Trieste</style></pub-location><pages><style face="normal" font="default" size="100%">806 - 811</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;div class=&quot;article&quot;&gt;&lt;p&gt;Wide-baseline stereo matching is a common problem of computer vision. By the explosion of smartphones equipped with camera modules, many classical computer vision solutions have been adapted to such platforms. Considering the widespread use of various networking options for mobile phones, one can consider a set of smart phones as an ad-hoc camera network, where each camera is equipped with a more and more powerful computing engine in addition to a limited bandwidth communication with other devices. Therefore the performance of classical vision algorithms in a collaborative mobile environment is of particular interest. In such a scenario we expect that the images are taken almost simultaneously but from different viewpoints, implying that the camera poses are significantly different but lighting conditions are the same. In this work, we provide quantitative comparison of the most important keypoint detectors and descriptors in the context of wide baseline stereo matching. We found that for resolution of 2 megapixels images the current mobile hardware is capable of providing results efficiently.&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></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%">Viktor Varjas</style></author><author><style face="normal" font="default" size="100%">Attila Tanacs</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%">Gépkocsi felismerés elölnézeti képek alapján</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%">294 - 308</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>9</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Affine Registration of 3D Objects</style></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><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.inf.u-szeged.hu/~kato/software/affbin3dregdemo.html</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;This is the sample implementation and benchmark dataset of the binary image registration algorithm described in the following papers: Attila Tanacs and Zoltan Kato. Fast Linear Registration of 3D Objects Segmented from Medical Images. In Proceedings of International Conference on BioMedical Engineering and Informatics, Shanghai, China, pages 299--303, October 2011. IEEE. Attila Tanacs, Joakim Lindblad, Natasa Sladoje and Zoltan Kato. Estimation of Linear Deformations of 3D Objects. In Proceedings of International Conference on Image Processing, Hong Kong, China, pp. 153-156, September 2010. IEEE.&lt;/p&gt;</style></abstract><work-type><style face="normal" font="default" size="100%">Software</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%">Attila Tanacs</style></author><author><style face="normal" font="default" size="100%">Joakim Lindblad</style></author><author><style face="normal" font="default" size="100%">Nataša Sladoje</style></author><author><style face="normal" font="default" size="100%">Zoltan Kato</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%">3D objektumok lineáris deformációinak becslése</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%">471 - 480</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>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Attila Tanacs</style></author><author><style face="normal" font="default" size="100%">Zoltan Kato</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Yongsheng Ding</style></author><author><style face="normal" font="default" size="100%">Yonghong Peng</style></author><author><style face="normal" font="default" size="100%">Riyi Shi</style></author><author><style face="normal" font="default" size="100%">Kuangrong Hao</style></author><author><style face="normal" font="default" size="100%">Lipo Wang</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Fast linear registration of 3D objects segmented from medical images</style></title><secondary-title><style face="normal" font="default" size="100%">Biomedical Engineering and Informatics (BMEI)</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%">Oct 2011</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pub-location><style face="normal" font="default" size="100%">Shanghai</style></pub-location><pages><style face="normal" font="default" size="100%">294 - 298</style></pages><isbn><style face="normal" font="default" size="100%">978-1-4244-9351-7 </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 this paper a linear registration framework is used for medical image registration using segmented binary objects. The method is best suited for problems where the segmentation is available, but we also propose a general bone segmentation approach for CT images. We focus on the case when the objects to be registered differ considerably because of segmentation errors. We check the applicability of the method to bone segmentation of pelvic and thoracic CT images. Comparison is also made against a classical mutual information-based registration method. © 2011 IEEE.&lt;/p&gt;</style></abstract><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type><accession-num><style face="normal" font="default" size="100%">12436502 </style></accession-num><notes><style face="normal" font="default" size="100%">ScopusID: 84855764850doi: 10.1109/BMEI.2011.6098290</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%">Attila Tanacs</style></author><author><style face="normal" font="default" size="100%">László Czúni</style></author><author><style face="normal" font="default" size="100%">Attila Tanacs</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Orvosi képfeldolgozás, Orvosi algoritmusok, Távérzékelés, mikroszkópia</style></title><secondary-title><style face="normal" font="default" size="100%">Képi információ mérése</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%">2011</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Typotex Kiadó</style></publisher><pub-location><style face="normal" font="default" size="100%">Budapest</style></pub-location><pages><style face="normal" font="default" size="100%">57 - 105</style></pages><language><style face="normal" font="default" size="100%">hun</style></language><work-type><style face="normal" font="default" size="100%">Book chapter</style></work-type></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><secondary-authors><author><style face="normal" font="default" size="100%">Attila Tanacs</style></author><author><style face="normal" font="default" size="100%">Veronika Vincze</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">VIII. Magyar Számítógépes Nyelvészeti Konferencia</style></title><secondary-title><style face="normal" font="default" size="100%">Magyar Számítógépes Nyelvészeti Konferencia</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%">Dec 2011</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.inf.u-szeged.hu/mszny2011/</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Szegedi Tudományegyetem</style></publisher><pub-location><style face="normal" font="default" size="100%">Szeged</style></pub-location><isbn><style face="normal" font="default" size="100%">978-963-306-121-3</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><work-type><style face="normal" font="default" size="100%">Conference proceedings</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%">Attila Tanacs</style></author><author><style face="normal" font="default" size="100%">Joakim Lindblad</style></author><author><style face="normal" font="default" size="100%">Nataša Sladoje</style></author><author><style face="normal" font="default" size="100%">Zoltan Kato</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Estimation of linear deformations of 3D objects</style></title><secondary-title><style face="normal" font="default" size="100%">IEEE International Conference on Image Processing (ICIP)</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%">Sep 2010</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pub-location><style face="normal" font="default" size="100%">Hong Kong, Hong Kong</style></pub-location><pages><style face="normal" font="default" size="100%">153 - 156</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 registration method to find affine transformations between 3D objects by constructing and solving an overdetermined system of polynomial equations. We utilize voxel coverage information for more precise object boundary description. An iterative solution enables us to easily adjust the method to recover e.g. rigid-body and similarity transformations. Synthetic tests show the advantage of the voxel coverage representation, and reveal the robustness properties of our method against different types of segmentation errors. The method is tested on a real medical CT volume. © 2010 IEEE.&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: 000287728000038ScopusID: 78651064516doi: 10.1109/ICIP.2010.5650932</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>6</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">VII. Magyar Számítógépes Nyelvészeti Konferencia</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2010</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2010</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.inf.u-szeged.hu/mszny2010/mszny2010.pdf</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Szegedi Tudományegyetem</style></publisher><pub-location><style face="normal" font="default" size="100%">Szeged</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></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%">András Hajdú</style></author><author><style face="normal" font="default" size="100%">Péter Veres</style></author><author><style face="normal" font="default" size="100%">Attila Tanacs</style></author><author><style face="normal" font="default" size="100%">Rorland Harangozó</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">P Zinterhof</style></author><author><style face="normal" font="default" size="100%">Sven Lončarić</style></author><author><style face="normal" font="default" size="100%">A Uhl</style></author><author><style face="normal" font="default" size="100%">Alberto Carini</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Object subsampling strategies to improve computational performance</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the 6th International Symposium on Image and Signal Processing and Analysis</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2009</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Sep 2009</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">IEEE Press</style></publisher><pub-location><style face="normal" font="default" size="100%">Salzburg</style></pub-location><pages><style face="normal" font="default" size="100%">448 - 453</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 investigate object simplification methods based on Centroidal Voronoi Tesselation (CVT) that share the possibility of great speed-ups in various scenarios. We propose Constrained CVT to sample points from the object boundary and the Region-based CVT to be able to subsample lower dimensional objects, as well. Moreover we introduce custom weight functions based on object properties. Thus, wecan be more specific on what are the important parts of the subsampled object. We also list several novel applications corresponding to the theoretical achivements presented. The advantages of applying the subsampling strategies are presented for registration, human detection, and the segmentation of the retinal vascular system, respectively. Quantitative results are shown to check the deterioration of the accuracy with the level of subsampling, and the computational gain. We also make comparisons with other naive (e.g. random) subsampling methods.&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: 70450253246</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%">Attila Tanacs</style></author><author><style face="normal" font="default" size="100%">Csaba Domokos</style></author><author><style face="normal" font="default" size="100%">Nataša Sladoje</style></author><author><style face="normal" font="default" size="100%">Joakim Lindblad</style></author><author><style face="normal" font="default" size="100%">Zoltan Kato</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Arnt-Borre Salberg</style></author><author><style face="normal" font="default" size="100%">Jon Yngve Hardeberg</style></author><author><style face="normal" font="default" size="100%">Robert Jenssen</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Recovering affine deformations of fuzzy shapes</style></title><secondary-title><style face="normal" font="default" size="100%">Image Analysis</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%">2009</style></year><pub-dates><date><style  face="normal" font="default" size="100%">June 2009</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">5575</style></number><publisher><style face="normal" font="default" size="100%">Springer-Verlag</style></publisher><pub-location><style face="normal" font="default" size="100%">Oslo, Norway</style></pub-location><pages><style face="normal" font="default" size="100%">735 - 744</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Fuzzy sets and fuzzy techniques are attracting increasing attention nowadays in the field of image processing and analysis. It has been shown that the information preserved by using fuzzy representation based on area coverage may be successfully utilized to improve precision and accuracy of several shape descriptors; geometric moments of a shape are among them. We propose to extend an existing binary shape matching method to take advantage of fuzzy object representation. The result of a synthetic test show that fuzzy representation yields smaller registration errors in average. A segmentation method is also presented to generate fuzzy segmentations of real images. The applicability of the proposed methods is demonstrated on real X-ray images of hip replacement implants. © 2009 Springer Berlin Heidelberg.&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: 000268661000075ScopusID: 70350676212doi: 10.1007/978-3-642-02230-2_75</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>6</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">VI. Magyar Számítógépes Nyelvészeti Konferencia (MSZNY 2009)</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2009</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2009</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Szegedi Tudományegyetem Informatikai Tanszékcsoport</style></publisher><pub-location><style face="normal" font="default" size="100%">Szeged</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></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%">Márton Balaskó</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">Attila Tanacs</style></author><author><style face="normal" font="default" size="100%">Zoltán Kiss</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">Burkhard Schillinger</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Muhammed Arif</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Comparison Radiography and Tomography Possibilities of FRM-II (20 MW) and Budapest (10 MW) Research Reactor</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the Eight World Conference WCNR-8</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2008</style></year><pub-dates><date><style  face="normal" font="default" size="100%">October</style></date></pub-dates></dates><pages><style face="normal" font="default" size="100%">18–27</style></pages></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">A képfeldolgozás kutatása a Szegedi Tudományegyetemen</style></title><secondary-title><style face="normal" font="default" size="100%">Informatika a felsőoktatásban 2008</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2008</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2008///</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.agr.unideb.hu/if2008/kiadvany/papers/E62.pdf</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Debreceni Egyetem Informatikai Kar</style></publisher><pub-location><style face="normal" font="default" size="100%">Debrecen</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">A digitális képfeldolgozás kutatásának a Szegedi TudományegyetemTermészettudományi és Informatikai Karán, az Informatikai 
Tanszékcsoport Képfeldolgozás és Számítógépes Grafika Tanszékén 
közel négy évtizedes hagyománya van.
A Tanszék valamennyi munkatársa nemzetközileg elismert 
kutatómunkát folytat, melyet már több száz rangos publikáció 
fémjelez. Számos, a képfeldolgozás kutatásában vezető egyetemmel 
és kutatóintézettel építettünk ki szoros kapcsolatot és 
folytattunk eredményes kutatómunkát, aktív résztvevői vagyunk a 
hazai és a nemzetközi tudományos közéletnek.
A legfontosabb, jelenleg is folyó kutatásaink: orvosi képek 
feldolgozása, diszkrét tomográfia, képszegmentálás, 
térinformatika, távérzékelés, képregisztráció, vázkijelölés, 
műtéti tervezés.
</style></abstract><notes><style face="normal" font="default" size="100%">Art. No.: E62</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%">Márton Balaskó</style></author><author><style face="normal" font="default" size="100%">Erzsébet Sváb</style></author><author><style face="normal" font="default" size="100%">Zoltán Kiss</style></author><author><style face="normal" font="default" size="100%">Attila Tanacs</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Muhammed Arif</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Study of the Inner Structure of a Damaged Control Rod by Neutron and X-ray Radiography and Discrete Tomography</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the Eight World Conference WCNR-8</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2008</style></year><pub-dates><date><style  face="normal" font="default" size="100%">October</style></date></pub-dates></dates><pages><style face="normal" font="default" size="100%">294–303</style></pages></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>25</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Attila Tanacs</style></author><author><style face="normal" font="default" size="100%">Eörs Máté</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Method and system for automatically transforming CT studies to a common reference frame</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2007</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2007</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">#20070002046</style></number><edition><style face="normal" font="default" size="100%">US Patent Application</style></edition><language><style face="normal" font="default" size="100%">eng</style></language><work-type><style face="normal" font="default" size="100%">Patent</style></work-type><section><style face="normal" font="default" size="100%"> #20070002046 (Filing Date: 1/04/2007), 2007.</style></section></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>6</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">V. Magyar Számítógépes Nyelvészeti Konferencia</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2007</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2007</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://nektar.oszk.hu/hu/manifestation/2800373</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Szegedi Tudományegyetem</style></publisher><pub-location><style face="normal" font="default" size="100%">Szeged</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Robotically assisted prostate brachytherapy with transrectal ultrasound guidance - Phantom experiments</style></title><secondary-title><style face="normal" font="default" size="100%">BRACHYTHERAPY</style></secondary-title><short-title><style face="normal" font="default" size="100%">BRACHYTHERAPY</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2006</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2006</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">5</style></volume><pages><style face="normal" font="default" size="100%">14 - 26</style></pages><isbn><style face="normal" font="default" size="100%">1538-4721</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">PURPOSE: To report the preliminary experimental results obtained with a robot-assisted transrectal ultrasound (TRUS)-guided prostate brachytherapy system. METHODS AND MATERIALS: The system consists of a TRUS unit, a spatially coregistered needle insertion robot, and an FDA-approved treatment planning and image-registered implant system. The robot receives each entry/target coordinate pair of the implant plan, inserts a preloaded needle, and then the seeds are deposited. The needles/sources are tracked in TRUS, thus allowing the plan to be updated as the procedure progresses. RESULTS: The first insertion attempt was recorded for each needle, without adjustment. All clinically relevant locations were reached in a prostate phantom. Nonparallel and parallel needle trajectories were demonstrated. Based on TRUS, the average transverse placement error was 2 mm (worst case 2.5 mm, 80% less than 2 mm), and the average sagittal error was 2.5 mm (worst case 5.0 mm, 70% less than 2.5 mm). CONCLUSIONS: The concept and technical viability of robot-assisted brachytherapy were demonstrated in phantoms. The kinematically decoupled robotic assistant device is inherently safe. Overall performance was promising, but further optimization is necessary to prove the possibility of improved dosimetry. © 2006 American Brachytherapy Society. All rights reserved.</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue><notes><style face="normal" font="default" size="100%">ScopusID: 33645102079doi: 10.1016/j.brachy.2005.10.003</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Application of automatic image registration in a segmentation framework of pelvic CT images</style></title><secondary-title><style face="normal" font="default" size="100%">LECTURE NOTES IN COMPUTER SCIENCE</style></secondary-title><short-title><style face="normal" font="default" size="100%">LECT NOTES COMPUT SCI</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2005</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2005</style></date></pub-dates></dates><pub-location><style face="normal" font="default" size="100%">MAINTZ JBA, 1998, MED IMAGE ANAL, V2, P1PEKAR V, 2004, INT J RADIAT ONCOL, V60, P973, DOI
10.1016/j.ijrobp.2004.06.004
TANACS A, 2003, ACTA CYBERNET, V16, P327
WEST J, 1999, IEEE T MED IMAGING, V18, P144
ZHAN YQ, 2004, IEEE INT S BIOM IM I
</style></pub-location><volume><style face="normal" font="default" size="100%">3691</style></volume><pages><style face="normal" font="default" size="100%">628 - 635</style></pages><isbn><style face="normal" font="default" size="100%">0302-9743</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><notes><style face="normal" font="default" size="100%">UT: 000232301200077Gagalowicz A; Philips W (szerk.)COMPUTER ANALYSIS OF IMAGES AND PATTERNS, PROCEEDINGS:
11th International Conference, CAIP 2005, Versailles, France, September 5-8, 2005. Proceedings
Berlin ; Heidelberg ; New York: Springer Verlag
ISBN: 3-540-28969-0
</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Dopamine transporter availability in medication free and in bupropion treated depression: a 99mTc-TRODAT-1 SPECT study.</style></title><secondary-title><style face="normal" font="default" size="100%">JOURNAL OF AFFECTIVE DISORDERS</style></secondary-title><short-title><style face="normal" font="default" size="100%">J AFFECT DISORDERS</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2005</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2005</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">89</style></volume><pages><style face="normal" font="default" size="100%">115 - 123</style></pages><isbn><style face="normal" font="default" size="100%">0165-0327</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">BACKGROUND: Bupropion is thought to exert its antidepressive effect by blocking the dopamine transporter (DAT). The purpose of this study was to evaluate the DAT activity in depressed patients by means of 99mTc-TRODAT-1 SPECT in relation to the efficacy of bupropion treatment. METHODS: In 12 healthy controls and 16 depressed patients the baseline DAT activity was examined. Nine of the 16 patients went through an additional second SPECT investigation, after 4 weeks of bupropion treatment. RESULTS: In the depressed patients, the baseline DAT striatum-occipital ratio (SOR) (1.04+/-.36, mean+/-SD) was not significantly different from that in the control group (1.12+/-.33) (p&gt;.05). Correlation was found between baseline SOR and HAM-D score change (r=-.745, p=.02) of the bupropion treated patients. The average DAT occupancy due to the bupropion treatment was 20.84+/-27.7%. No significant correlation between the therapeutical effectiveness and the occupancy was observed. LIMITATIONS: One of the limiting factors of our study has been the lack of drug monitoring. CONCLUSIONS: In good agreement with other PET studies, we found 20.84% DAT occupancy during bupropion treatment. The lack of correlation between the efficacy of therapy and occupancy of DAT may raise the question as to whether other mechanisms are involved in the effect of bupropion.</style></abstract><issue><style face="normal" font="default" size="100%">1-3</style></issue><notes><style face="normal" font="default" size="100%">UT: 000234355500012ScopusID: 28444466222doi: 10.1016/j.jad.2005.08.016</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Effects of bupropion in depression: a 99mTc-TRODAT SPECT study</style></title><secondary-title><style face="normal" font="default" size="100%">EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING</style></secondary-title><short-title><style face="normal" font="default" size="100%">EUR J NUCL MED MOL I</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2004</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2004</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">31</style></volume><pages><style face="normal" font="default" size="100%">S228</style></pages><isbn><style face="normal" font="default" size="100%">1619-7070</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><notes><style face="normal" font="default" size="100%">UT: 000223419900123SU: Suppl. 2</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%">Attila Tanacs</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Image registration methods based on interactively identified point pairs</style></title><secondary-title><style face="normal" font="default" size="100%">Alkamazott Matematikai Lapok</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2004</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2004</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">21</style></volume><pages><style face="normal" font="default" size="100%">237-260</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><work-type><style face="normal" font="default" size="100%">Journal Article</style></work-type></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Kijelölt pontpárokon alapuló képregisztrációs módszerek</style></title><secondary-title><style face="normal" font="default" size="100%">ALKALMAZOTT MATEMATIKAI LAPOK</style></secondary-title><short-title><style face="normal" font="default" size="100%">ALKALMAZOTT MATEMATIKAI LAPOK</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2004</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2004</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">21</style></volume><pages><style face="normal" font="default" size="100%">237 - 260</style></pages><isbn><style face="normal" font="default" size="100%">0133-3399</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Számítógépes képfeldolgozás oktatása a Szegedi Tudományegyetemen</style></title><secondary-title><style face="normal" font="default" size="100%">A Képfeldolgozók és Alakfelismerők Társaságának konferenciája - KÉPAF 2004</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2004</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Jan 2004</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%">Miskolc</style></pub-location><pages><style face="normal" font="default" size="100%">191 - 196</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Az SZTE Informatikai Tanszékcsoportja által gondozott szakoktanterveiben 1993 óta szerepel a képfeldolgozás és alkalmazásainak oktatása. A kreditrendszer bevezetésével a Képfeldolgozás I. tárgy kötelező az ötéves képzésben részt vevő informatikus hallgatóknak. Ezen felül a választható szakirányok között szintén szerepel a Képfeldolgozás szakirány. A szakirányon belül különböző képpfeldolgozási területeket tárgyaló kurzusok épülnek egymásra. Az elméleti megalapozás mellett a képfeldolgozás alkalmazásaira is nagy hangsúlyt fektetünk. A kutatások illetve az orvosi alkalmazások fejlesztése során szerzett eredményeket a kötelező jellegű tárgyak mellett speciálkollégiumok keretében építjül be az otkatási anyagba. Számos hallgatónk választ a képfeldolgzás területéről témát a diplomamunkájához, dolgozataikkal rendszeresen és sikerrel szerepelnek az OTDK-n. Hallgatóink évente több hónapot tölthetnek külföldi partneregyetemeinken, ahol a kutató- és fejlesztőmunka mellett nálunk is elfogadott kurzusokat teljesíthetnek. A képfeldolgozás témakörön belül &quot;ipari&quot; projekt munkákban is egyre több hallgató vesz részt. A doktori programon belül is meghirdetünk képfeldolgozáshoz kapcsolódó kutatási irányokat. Az évente megrendezésre kerülő, 11-éves múltra visszatekintő Képfeldolgozó Nyári Iskolának (SSIP) eddig hatszor adott otthont Szeged. A rendszvénysorozat kiemelkedő fontosságú nemzetközi fórum hallgatóink és oktatóink számára is.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Evaluation of a fully automatic medical image registration algorithm based on mutual information</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%">2003</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2003</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">16</style></volume><pages><style face="normal" font="default" size="100%">327 - 336</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%">Registration is a fundamental task in image processing. Its purpose is to find a geometrical transformation that relates the points of an image to their corresponding points of another image. Many registration algorithms have been proposed in the past decade. We present a fast, fully automatic algorithm that is capable of solving rigid-body registration of 3D images of the human brain where the images are taken by different imaging devices. We joined the Retrospective Registration Evaluation Project conducted by Vanderbilt University, USA. The evaluations of our results show that our method has the potential to produce satisfactory results, but visual inspection is necessary to guard against large errors.</style></abstract><issue><style face="normal" font="default" size="100%">2</style></issue><notes><style face="normal" font="default" size="100%">ScopusID: 0344304651</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Po-topic IV-05: Prostate biopsy and local therapy inside conventional closed mri with robotic assistance - animal studies</style></title><secondary-title><style face="normal" font="default" size="100%">ACADEMIC RADIOLOGY</style></secondary-title><short-title><style face="normal" font="default" size="100%">ACAD RADIOL</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2003</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2003</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">10</style></volume><pages><style face="normal" font="default" size="100%">955</style></pages><isbn><style face="normal" font="default" size="100%">1076-6332</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">8</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">System for MR image-guided prostate interventions: Canine study</style></title><secondary-title><style face="normal" font="default" size="100%">RADIOLOGY</style></secondary-title><short-title><style face="normal" font="default" size="100%">RADIOLOGY</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2003</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2003</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">228</style></volume><pages><style face="normal" font="default" size="100%">886 - 894</style></pages><isbn><style face="normal" font="default" size="100%">0033-8419</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The purpose of this study was to demonstrate the use of a transrectal system that enables precise magnetic resonance (MR) image guidance and monitoring of prostate interventions. The system used a closed-bore 1.5-T MR imaging unit and enables one to take advantage of the higher signal-to-noise ratio achieved with traditional magnet designs, which is crucial for accurate targeting and monitoring of prostate interventions. In the first of the four canine studies, reliable needle placement, with all needles placed within 2 mm of the desired target site, was achieved. In two other studies, MR imaging was used to monitor distribution of injected contrast agent solution (gadopentetate dimeglumine mixed with trypan blue dye) in and around the prostate, thereby confirming that solution had been delivered to the desired tissue and also detecting faulty injections. In the final study, accurate placement and MR imaging of brachytherapy seeds in the prostate were demonstrated. The described system provides a flexible platform for a variety of minimally invasive MR image-guided therapeutic and diagnostic prostate interventions. © RSNA, 2003.</style></abstract><issue><style face="normal" font="default" size="100%">3</style></issue><notes><style face="normal" font="default" size="100%">ScopusID: 0042430628doi: 10.1148/radiol.2283020911Tradenames: CV/i, GE Medical Systems, United StatesManufacturers: Sigma Aldrich, United StatesGE Medical Systems, 
United States
</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%">Márton Balaskó</style></author><author><style face="normal" font="default" size="100%">Zoltán Balaskó</style></author><author><style face="normal" font="default" size="100%">Emese Balogh</style></author><author><style face="normal" font="default" size="100%">Attila Tanacs</style></author><author><style face="normal" font="default" size="100%">Endre Katona</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Composition of Radiography Pictures of Whole Helicopter Rotor Blades in Hungary</style></title><secondary-title><style face="normal" font="default" size="100%">7th World Conference on Neutron Radiography (WCNR)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2002</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2002</style></date></pub-dates></dates><pages><style face="normal" font="default" size="100%">637-642</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></contributors><titles><title><style face="normal" font="default" size="100%">System for robotically assisted prostate biopsy and therapy with intraoperative CT guidance</style></title><secondary-title><style face="normal" font="default" size="100%">ACADEMIC RADIOLOGY</style></secondary-title><short-title><style face="normal" font="default" size="100%">ACAD RADIOL</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2002</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2002</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">9</style></volume><pages><style face="normal" font="default" size="100%">60 - 74</style></pages><isbn><style face="normal" font="default" size="100%">1076-6332</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Rationale and Objectives. The purpose of this study was to assess the work-in-progress prototype of an image-guided, robotic system for accurate and consistent placement of transperineal needles into the prostate with intraoperative image guidance inside the gantry of a computed tomographic (CT) scanner. Materials and Methods. The coach-mounted system consists of a seven-degrees-of-freedom, passive mounting arm; a remote-center-of-motion robot; and a motorized, radiolucent needle-insertion device to deliver 17-18-gauge implant and biopsy needles into the prostate with the transperineal route. The robot is registered to the image space with a stereotactic adapter. The surgeon plans and controls the intervention in the CT scanner room with a desktop computer that receives DICOM images from the CT scanner. The complete system fits in a carry-on suitcase, does not need calibration, and does not utilize vendor-specific features of the CT scanner. Results. In open air, the average accuracy was better than 1 mm at a 5-8-cm depth. In various phantoms, the average orientation error was 1.3°, and the average distance between the needle tip and the target was 2 mm. Conclusion. Results of preliminary experiments indicate that this robotic system may be suitable for transperineal needle placement into the prostate and shows potential in a variety of other percutaneous clinical applications.</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue><notes><style face="normal" font="default" size="100%">ScopusID: 0036184964doi: 10.1016/S1076-6332(03)80297-0Tradenames: Neuromate robot, Integrated Surgical Systems, United StatesManufacturers: Integrated Surgical Systems, United States
</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Számítógépes képfeldolgozás oktatása a Szegedi Tudományegyetemen</style></title><secondary-title><style face="normal" font="default" size="100%">Informatika a felsőoktatásban</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2002</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2002///</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Debreceni Egyetem</style></publisher><pub-location><style face="normal" font="default" size="100%">Debrecen</style></pub-location><pages><style face="normal" font="default" size="100%">750 - 757</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">A Szegedi Tudományegyetem tanterveiben 1993 óta szerepel aképfeldolgozás és alkalmazásainak oktatása. A tantárgy ez idő 
alatt sok változáson ment át. Jelenleg a Képfeldolgozás 
szakirányt választó hallgatók részesülnek ilyen képzésben. Az 
adott szakirányon belül különböző képfeldolgozási területek 
oktatása épül egymásra. Az oktatás során nem csak elméleti és 
gyakorlati ismereteket szerezhetnek a hallgatók, hanem néhány 
(főleg orvosi) alkalmazás is bemutatásra kerül. A kötelező 
jellegű tárgyak mellett speciálkollégiumok engednek bepillantást 
más kiegészítő területekre. A hallgatók a képfeldolgozás témával 
rendszeresen vesznek rész helyi és országos Tudományos DIákköri 
Konferenciákon. Az utóbbi időben sikerült a képfeldolgozásban 
érdekelt cégekkel felvenni a kapcsolatot, így évente több 
hallgató vehet részt ipari alkalmazások fejlesztésében. A 
doktori programon belül is meghirdetünk képfeldolgozáshoz 
kapcsolódó kutatási irányokat. Ezenkívül rendszeresen 
megrendezzük a nemzetközi Képfeldolgozó Nyári Iskolákat, ahol 
nemcsak Magyarországról, hanem a környező országokból is 
fogadunk hallgatókat és oktatókat.
</style></abstract><notes><style face="normal" font="default" size="100%">A nyomtatott kötetben az absztrakt a 150. oldalon található.A teljes cikk a CD mellékleten, a D41.pdf fájlban, a megadott oldalszámokkal szerepel.
</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Transrectal prostate biopsy inside closed MRI scanner with remote actuation, under real-time image guidance</style></title><secondary-title><style face="normal" font="default" size="100%">MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION-MICCAI 2002, PT 1</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2002</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2002</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%">Tokyo</style></pub-location><pages><style face="normal" font="default" size="100%">91 - 98</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">We present the proof-of-concept prototype of a prostate biopsyrobot to be used inside a conventional high-field MRI scanner. A 
three degree-of-freedom (DOF) mechanical device translates and 
rotates inside the rectum and enters a needle into the body, and 
steers the needle to a target point pre-selected by the user. 
The device is guided by real-time images from the scanner. 
Networked computers process the medical images and enable the 
clinician to control the motion of the mechanical device that is 
operated remotely from outside the imager. The system is also 
applicable to localized prostate therapy and also demonstrates 
potential in other intra-cavitary procedures.
</style></abstract><notes><style face="normal" font="default" size="100%">UT: 000189412100012BE: Dohi, T: Kikinis, R
5th International Conference on Medical Image Computing and
: Computer-Assisted Intervention
SEP 25-28, 2002
TOKYO, JAPAN
Z9: 26
WC: Computer Science, Theory &amp; Methods
Hiányzó Besorolás: 'Article; Proceedings Paper',25,0
#Könyv Kiadás helye ismeretlen
</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Affine matching of two sets of points in arbitrary dimensions.</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%">2001</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2001</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">15</style></volume><pages><style face="normal" font="default" size="100%">101 - 106</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><issue><style face="normal" font="default" size="100%">1</style></issue><notes><style face="normal" font="default" size="100%">ScopusID: 0034882398</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Approximate Volumetric Reconstruction from Projected Images</style></title><secondary-title><style face="normal" font="default" size="100%">Medical Image Computing and Computer-Assisted Intervention - MICCAI 2001, 4th International Conference</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2001</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2001</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%">Utrecht</style></pub-location><pages><style face="normal" font="default" size="100%">1376 - 1378</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><notes><style face="normal" font="default" size="100%">doi: 10.1007/3-540-45468-3_235</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Point-based registration assuming affine motion</style></title><secondary-title><style face="normal" font="default" size="100%">LECTURE NOTES IN COMPUTER SCIENCE</style></secondary-title><short-title><style face="normal" font="default" size="100%">LECT NOTES COMPUT SCI</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2000</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2000</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.inf.u-szeged.hu/ipcg/publications/papers/Tanacs_2000_AFPAC.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">1888</style></volume><pages><style face="normal" font="default" size="100%">329 - 338</style></pages><isbn><style face="normal" font="default" size="100%">0302-9743</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><notes><style face="normal" font="default" size="100%">UT: 000174539200027doi: 10.1007/10722492_26Gerald Sommer, Yehoshua Y. Zeevi (Eds.)Algebraic Frames for the Perception-Action Cycle Second International Workshop, AFPAC 2000
Kiel, Germany, September 10-11, 2000
Proceedings
Berlin; Heidelberg; New York : Springer,2000
ISBN 3-540-41013-9
DOI: 10.1007/10722492
</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Target registration error of point-based methods assuming rigid-body and linear motions</style></title><secondary-title><style face="normal" font="default" size="100%">International Workshop on Biomedical Image Registration (WBIR)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1999</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Aug 1999</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Slovenian Society of Informatics</style></publisher><pub-location><style face="normal" font="default" size="100%">Ljubljana</style></pub-location><pages><style face="normal" font="default" size="100%">223 - 233</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Medical image registration based on interactively identified anatomical landmark points</style></title><secondary-title><style face="normal" font="default" size="100%">MACHINE GRAPHICS AND VISION</style></secondary-title><short-title><style face="normal" font="default" size="100%">MACH GRAPH VIS</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">1998</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1998///</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">7</style></volume><pages><style face="normal" font="default" size="100%">151 - 158</style></pages><isbn><style face="normal" font="default" size="100%">1230-0535</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">1/2</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Medical image registration based on interactively identified anatomical landmark points</style></title><secondary-title><style face="normal" font="default" size="100%">MACHINE GRAPHICS AND VISION</style></secondary-title><short-title><style face="normal" font="default" size="100%">MACH GRAPH VIS</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">1998</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1998</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">7</style></volume><pages><style face="normal" font="default" size="100%">151 - 158</style></pages><isbn><style face="normal" font="default" size="100%">1230-0535</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">1/2</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Pont alapú regisztráció, képfúzió</style></title><secondary-title><style face="normal" font="default" size="100%">XXI. Neumann Kollokvium kiadványa</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1998</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Nov 1998</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%">Budapest</style></pub-location><pages><style face="normal" font="default" size="100%">67 - 70</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Pont alapú regisztráció, képfúzió</style></title><secondary-title><style face="normal" font="default" size="100%">XXI. Neumann Kollokvium kiadványa</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1998</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Nov 1998</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%">Budapest</style></pub-location><pages><style face="normal" font="default" size="100%">67 - 70</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Orvosi képek regisztrációja interaktívan kijelölt anatómiai pontok alapján</style></title><secondary-title><style face="normal" font="default" size="100%">Magyar Képfeldolgozók és Alakfelismerők Országos Konferenciája</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1997</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Oct 1997</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Pannon Agrártudományi Egyetem Georgikon Mezőgazdaságtudományi Kar</style></publisher><pub-location><style face="normal" font="default" size="100%">Keszthely</style></pub-location><pages><style face="normal" font="default" size="100%">1 - 8</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Orvosi képek regisztrációja interaktívan kijelölt anatómiai pontok alapján</style></title><secondary-title><style face="normal" font="default" size="100%">Magyar Képfeldolgozók és Alakfelismerők Országos Konferenciája</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1997</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Oct 1997</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Pannon Agrártudományi Egyetem Georgikon Mezőgazdaságtudományi Kar</style></publisher><pub-location><style face="normal" font="default" size="100%">Keszthely</style></pub-location><pages><style face="normal" font="default" size="100%">1 - 8</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record></records></xml>