Bogdanov A, Endrész V, Urbán S, Lantos I, Deák J, Burián K, et al. Application of DNA chip scanning technology for the automatic detection of Chlamydia trachomatis and Chlamydia pneumoniae inclusions. ANTIMICROBIAL AGENTS AND CHEMOTHERAPY. 2014;58(1):405-413.

Varga L, Nyúl LG, Nagy A, Balázs P. Local and global uncertainty in binary tomographic reconstruction. COMPUTER VISION AND IMAGE UNDERSTANDING. 2014.

Lantos I, Bogdanov A, Endrész V, Urbán S, Deák J, Burián K, et al. APPLICATION OF DNA CHIP SCANNING TECHNOLOGY FOR THE  AUTOMATIC DETECTION OF CHLAMYDIA TRACHOMATIS AND  CHLAMYDIA PNEUMONIAE INCLUSIONS. ACTA MICROBIOLOGICA ET IMMUNOLOGICA HUNGARICA. 2013;60(Suppl. 1.):173-174.

Hantos N, Balázs P, Palágyi K. Bináris képek rekonstrukciója két vetületb?l és morfológiai vázból. In: Czúni L, editor. A Képfeldolgozók és Alakfelismer?k Társaságának konferenciája - KÉPAF 2013. Veszprém: NJSZT-KÉPAF; 2013. 1. p. 182-193p. 

Ozsvár Z, Balázs P. A comparison of heuristics for reconstructing hv-convex binary matrices from horizontal and vertical projections. In: Czúni L, editor. A Képfeldolgozók és Alakfelismer?k Társaságának konferenciája - KÉPAF 2013. Veszprém: NJSZT-KÉPAF; 2013. 1. p. 168-181p. 

Balázs P. Complexity results for reconstructing binary images with disjoint components from horizontal and vertical projections. DISCRETE APPLIED MATHEMATICS. 2013;161:2224-2235.

Tasi T, Nyúl LG, Balázs P. Directional Convexity Measure for Binary Tomography. In: Sanniti di Baja G, Ruiz-Shulcloper J, editors. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Berlin; Heidelberg: Springer Verlag; 2013. 9. p. 9-16p. 

Batenburg JK, Palenstijn WJ, Balázs P, Sijbers J. Dynamic angle selection in binary tomography. COMPUTER VISION AND IMAGE UNDERSTANDING. 2013;117(4):306-318.

Ozsvár Z, Balázs P. An empirical study of reconstructing hv-convex binary matrices from horizontal and vertical projections. ACTA CYBERNETICA-SZEGED. 2013;21:149-163.

Varga L, Balázs P, Nagy A. Gradiens módszerek automatikus súlyozásán alapuló diszkrét tomográfiai eljárás. In: Czúni L, editor. A Képfeldolgozók és Alakfelismer?k Társaságának konferenciája - KÉPAF 2013. Veszprém: NJSZT-KÉPAF; 2013. 2. p. 210-223p. 

Varga L, Nyúl LG, Nagy A, Balázs P. Local uncertainty in binary tomographic reconstruction. In: Kampel M, editor. Proceedings of the IASTED International Conference on Signal Processing, Pattern Recognition and Applications (SPPRA 2013). Calgary: IASTED - Acta Press; 2013. 4. p. 490-496p. 

Balázs P. Prior Information, Machine Learning, and Direction Dependency in Binary Tomography. Szeged, Hungary: University of Szeged; 2013.

Hantos N, Balázs P. Reconstruction and Enumeration of hv-Convex Polyominoes with Given Horizontal Projection. In: Ruiz-Shulcloper J, Sanniti di Baja G, editors. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications (CIARP). Heidelberg; London; New York: Springer; 2013. 1. p. 100-107p.  (LNCS).

Hantos N, Balázs P. The reconstruction of polyominoes from horizontal and vertical projections and morphological skeleton is NP-complete. FUNDAMENTA INFORMATICAE. 2013;125(3-4):343-359.

Nemeth J, Balázs P. Restoration of blurred binary images using discrete tomography. In: Blanc-Talon J, Kasinski A, Philips W, Popescu D, Scheunders P, editors. Advanced Concepts for Intelligent Vision Systems (ACIVS). Berlin; Heidelberg; New York; London; Paris; Tokyo: Springer Verlag; 2013. 8. p. 80-90p.  (LNCS).

Hantos N, Balázs P. A uniqueness result for reconstructing hv-convex polyominoes from horizontal and vertical projections and morphological skeleton. In: Ramponi G, Lon?ari? S, Carini A, Egiazarian K, editors. Proceedings of International Symposium on Image and Signal Processing and Analysis (ISPA). Trieste: IEEE; 2013. 7. p. 788-793p. 

Gara M, Balázs P. Artificial intelligence methods in discrete tomography. Szeged: University Szeged, Institute of Informatics; 2012.

Hantos N, Balázs P, Palágyi K. Binary image reconstruction from two projections and skeletal information. In: Barneva RP, Brimkov VE, Aggarwal JK, editors. Combinatorial Image Analysis. Berlin; Heidelberg; New York; London; Paris; Tokyo: Springer Verlag; 2012. 2. p. 263-273p.  (Lecture Notes in Computer Science).

Hantos N, Balázs P, Palágyi K. Binary tomography using two projections and morphological skeleton. In: Conference of PhD Students in Computer Science. Vol Volume of Extended Abstracts. Szeged: Univ Szeged Institute of Informatics; 2012. 2. 20.

Balázs P, Batenburg JK. A central reconstruction based strategy for selecting projection angles in binary tomography. In: Campilho A, Kamel M, editors. Image Analysis and Recognition. Berlin; Heidelberg; New York; London; Paris; Tokyo: Springer; 2012. 3. p. 382-391p.  (Lecture Notes in Computer Science).

Bogdanov A, Urbán S, Endrész V, Burián K, Balázs P, Deák J, et al. Chlamydia inklúziók automatizált számolása fluoreszcens DNS-chip szkenner segítségével. In: Forster T, Farkas A, Csanády M, editors. 11. Cserháti István Emlékülés : Fiatalok Tudományos Fóruma. Szeged: SZTE ÁOK II. sz. Belgyógyászati Klinika és Kardiológiai Központ; 2012. 3. 37.

Ozsvár Z, Balázs P. Empirical studies of reconstructing hv-convex binary matrices from horizontal and vertical projections. Szeged: University of Szeged, Institute of Informatics; 2012.

Varga L, Balázs P, Nagy A. An energy minimization reconstruction algorithm for multivalued discrete tomography. In: Di Giamberardino P, Iacoviello D, Jorge R M N, Taveres JManuel RS, editors. Computational Modelling of Objects Represented in Images: Fundamentals, Methods and Applications III. London: CRC Press - Taylor and Frances Group; 2012. 1. p. 179-185p. 

Tasi T, Balázs P. Extracting geometrical features of discrete images from their projections. Szeged: University of Szeged, Institute of Informatics; 2012.

Gara M, Tasi T, Balázs P. Machine learning as a preprocessing phase in discrete tomography. In: Köthe U, Montanvert A, Soille P, editors. Applications of Discrete Geometry and Mathematical Morphology (WADGMM). Berlin; Heidelberg; New York; London; Paris; Tokyo: Springer Verlag; 2012. 1. p. 109-124p.  (Lecture Notes in Computer Science).

Varga L, Balázs P, Nagy A. A novel optimization-based reconstruction algorithm for multivalued discrete tomography. Szeged: University of Szeged, Institute of Informatics; 2012.

Varga L, Balázs P, Nagy A. An optimization-based reconstruction algorithm for multivalued discrete tomography. In: Veszprém Optimization Conference: Advanced Algorithms (Vocal). Veszprém: University of Pannonia; 2012. 3. p. 39-40p. 

Tasi T, Heged?s M, Balázs P. Perimeter estimation of some discrete sets from horizontal and vertical projections. In: Petrou M, Sappa AD, Triantafyllidis A G, editors. IASTED International Conference on Signal Processing, Pattern Recognition and Applications (SPPRA). Crete, Greek: IASTED ACTA Press; 2012. 1. p. 174-181p. 

Hantos N, Balázs P, Palágyi K. Solving binary tomography from morphological skeleton via optimization. In: Veszprém Optimization Conference: Advanced Algorithms (VOCAL). Veszprém: University of Pannonia; 2012. 4. 42.

Gara M, Balázs P. Bináris tomográfiai rekonstrukció objektum alapú evolúciós algoritmussal. In: Kato Z, Palágyi K, editors. A Képfeldolgozók és Alakfelismer?k Társaságának konferenciája - KÉPAF 2011. Szeged: NJSZT; 2011. 1. p. 117-127p. 

Varga L, Balázs P, Nagy A. Direction-dependency of binary tomographic reconstruction algorithms. GRAPHICAL MODELS. 2011;73(6):365-375.

Balázs P. Képrekonstrukció. Juhász L, editor. Budapest: Typotex Kiadó; 2011.

Hantos N, Balázs P. Mediánsz?rés alkalmazása algebrai rekonstrukciós módszerekben. In: Kato Z, Palágyi K, editors. A Képfeldolgozók és Alakfelismer?k Társaságának konferenciája - KÉPAF 2011. Szeged: NJSZT; 2011. 1. p. 106-116p. 

Varga L, Balázs P, Nagy A. Projection selection dependency in binary tomography. ACTA CYBERNETICA-SZEGED. 2011;20(1):167-187.

Balázs P, Németh ZL. Tehetséggondozó program a Szegedi Tudományegyetem Informatikai Tanszékcsoport BSc szakjain. In: Cser L, Herdon M, editors. Informatika a fels?oktatásban 2011 konferencia. Debrecen: Debreceni Egyetem Informatikai Kar; 2011. 9. p. 905-912p. 

Varga L, Balázs P, Nagy A. Vetületi irányfügg?ség a bináris tomográfiában. In: Kato Z, Palágyi K, editors. A Képfeldolgozók és Alakfelismer?k Társaságának konferenciája - KÉPAF 2011. Szeged: NJSZT; 2011. 9. p. 92-105p. 

Gara M, Balázs P. Binary tomographic reconstruction with an object-based evolutionary algorithm. In: Conference of PhD Students in Computer Science. Volume of Extended Abstracts. Szeged: University of Szeged; 2010. 3. 31.

Varga L, Balázs P, Nagy A. Direction-dependency of a binary tomographic reconstruction algorithm. In: Barneva RP, Brimkov VE, Hauptman HA, Jorge R M N, Tavares JManuel RS, editors. Computational Modeling of Objects Represented in Images. Buffalo, NY, USA: Springer Verlag; 2010. 2. p. 242-253p.  (Lecture Notes in Computer Science).

Hantos N, Balázs P. Image enhancement by median filters in algebraic reconstruction methods: an experimental study. In: Bebis G, Boyle R, Parvin B, Koracin D, Chung R, Hammound R et al., editors. Advances in Visual Computing. Las Vegas, NV, USA: Springer Verlag; 2010. 3. p. 339-348p.  (Lecture Notes in Computer Science).

Balázs P, Gara M, Tasi T. Machine learning for supporting binary tomographic reconstruction. In: Köthe U, Montanvert A, Soille P, editors. Workshop on Applications of Discrete Geometry in Mathematical Morphology. Istambul, Turkey: Springer; 2010. 1. p. 101-105p.  (Lecture Notes in Computer Science).

Hantos N, Balázs P. Median filtering in algebraic reconstruction methods. In: Conference of PhD Students in Computer Science. Volume of Extended Abstracts. Szeged, Hungary: University of Szeged; 2010. 3. 36.

Varga L, Balázs P, Nagy A. Object rotation effects on binary tomographic reconstruction. In: Conference of PhD Students in Computer Science. Volume of Extended Abstracts. Szeged, Hungary: University of Szeged; 2010. 7. 76.

Tasi T, Balázs P. Obtaining geometrical properties of binary images from two projections using neural networks. In: Conference of PhD Students in Computer Science. Volume of Extended Abstracts. Szeged, Hungary: University of Szeged; 2010. 6. 69.

Varga L, Balázs P, Nagy A. Projection selection algorithms for discrete tomography. In: Blanc-Talon J, Bone D, Philips W, Popescu D, Scheunders P, editors. Advanced Concepts for Intelligent Vision Systems. Sydney, Australia : Springer Verlag; 2010. 3. p. 390-401p. 

Balázs P. A benchmark set for the reconstruction of hv-convex discrete sets. DISCRETE APPLIED MATHEMATICS. 2009;157(16):3447-3456.

Gara M, Balázs P. Döntési fákon alapuló el?feldolgozás a bináris tomográfiában. In: Chetverikov D, Sziranyi T, editors. A Képfeldolgozók és Alakfelismer?k Társaságának konferenciája - KÉPAF 2009. Budapest: Akaprint; 2009. n. nincs számozás.

Balázs P, Gara M. An evolutionary approach for object-based image reconstruction using learnt priors. In: Salberg A-B, Hardeberg JYngve, Jenssen R, editors. Image Analysis. Oslo, Norway: Springer-Verlag; 2009. 5. p. 520-529p.  (Lecture Notes in Computer Science).

Gara M, Tasi T, Balázs P. Learning connectedness and convexity of binary images from their projections. PURE MATHEMATICS AND APPLICATIONS. 2009;20(1-2):27-48.

Balázs P. Neutron tomography with prior information. In: 5th Conference on Applied Inverse Problems. Vol Abstracts.; 2009. 3. 38.

Balázs P. Reconstruction of binary images with disjoint components from horizontal and vertical projections. In: Chetverikov D, Sziranyi T, editors. A Képfeldolgozók és Alakfelismer?k Társaságának konferenciája - KÉPAF 2009. Budapest: Akaprint; 2009. 

Balázs P. Reconstruction of canonical hv-convex discrete sets from horizontal and vertical projections. In: Wiederhold P, Barneva RP, editors. Combinatorial Image Analysis. Berlin; Heidelberg; New York; London; Paris; Tokyo: Springer Verlag; 2009. 2. p. 280-288p. 

Balázs P. On the ambiguity of reconstructing hv-convex binary matrices with decomposable configurations. ACTA CYBERNETICA-SZEGED. 2008;18(3):367-377.

Balázs P, Gara M. Decision trees in binary tomography for supporting the reconstruction of hv-convex connected images. In: Proceedings of the Advanced Concepts for Intelligent Vision Systems. Vol 5259. Juan-les-Pins, France: Springer; 2008. 4. p. 433-443p.  (Lecture Notes in Computer Science; vol 5259).

Gara M, Balázs P. Determination of geometric features of binary images from their projections by using decision trees. In: Palágyi K, Bánhelyi B, Gergely T, Matievics I, editors. Conference of PhD Students in Computer Science. Volume of Extended Abstracts. Szeged, Hungary: University of Szeged; 2008. 2. 26.

Balázs P. Discrete tomographic reconstruction of binary images with disjoint components using shape information. INTERNATIONAL JOURNAL OF SHAPE MODELLING. 2008;14(2):189-207.

Balázs P. A framework for generating some discrete sets with disjoint components by using uniform distributions. THEORETICAL COMPUTER SCIENCE. 2008;406(1-2):15-23.

Balázs P, Erd?helyi B, Katona E, Kato Z, Máté E, Nagy A, et al. A képfeldolgozás kutatása a Szegedi Tudományegyetemen. In: Peth? A, Herdon M, editors. Informatika a fels?oktatásban 2008. Debrecen: Debreceni Egyetem Informatikai Kar; 2008. 

Balázs P. On the number of hv-convex discrete sets. In: Brimkov VE, Barneva RP, Hauptman HA, editors. Combinatorial Image Analysis. Buffalo, NY, USA: Springer Verlag; 2008. 1. p. 112-123p.  (Lecture Notes in Computer Science).

Balázs P. Reconstruction of binary images with few disjoint components from two projections. In: Bebis G, Boyle R, Parvin B, Koracin D, Remagnino P, Porikli F et al., editors. Advances in Visual Computing. Las Vegas, NV, USA: Springer Verlag; 2008. 1. p. 1147-1156p.  (Lecture Notes in Computer Science).

Balázs P. Binary Tomography Using Geometrical Priors: Uniqueness and Reconstruction Results. Szeged, Hungary: University of Szeged; 2007.

Balázs P. Decomposition Algorithms for Reconstructing Discrete Sets with Disjoint Components. In: Herman G T, Kuba A, editors. ADVANCES IN DISCRETE TOMOGRAPHY AND ITS APPLICATIONS. Cambridge: Birkhauser Boston; 2007. 1. p. 153-173p.  (Applied and Numerical Harmonic Analysis).

Balázs P. A decomposition technique for reconstructing discrete sets from four projections. IMAGE AND VISION COMPUTING. 2007;25(10):1609-1619.

Balázs P. Generation and empirical investigation of hv-Convex discrete sets. In: Ersbøll BKjær, Pedersen KSteenstrup, editors. Image Analysis. Aalborg, Denmark: Springer Verlag; 2007. 3. p. 344-353p.  (Lecture Notes in Computer Science).

Balázs P. Reconstructing some hv-convex binary images from three or four projections. In: Petrou M, Saramaki T, Ercil A, Lon?ari? S, editors. Proccedings of the 5th International Symposium on Image and Signal Processing and Analysis. Istanbul, Turkey: IEEE; 2007. 1. p. 136-140p. 

Balázs P. Uniform generation of hv-convex discrete sets. In: Fazekas A, Hajdú A, editors. A Képfeldolgozók és Alakfelismer?k Társaságának konferenciája - KÉPAF 2007. Debrecen: Képfeldolgozók és Alakfelismer?k Társasága; 2007. 6. p. 63-70p. 

Balázs P. On the ambiguity of reconstructing decomposable hv-convex binary matrices. In: Csendes T, Szabó PGábor, Seb? M, Bánhelyi B, Jász J, Nagyné Hecskó G, editors. Conference of PhD Students in Computer Science. Vol Volume of Extenden Abstracts.; 2006. 1. 17.

Balázs P. The number of line-convex directed polyominoes having the same orthogonal projections. In: Kuba A, Nyúl LGábor, Palágyi K, editors. Discrete Geometry for Computer Imagery. Berlin, Heidelberg: Springer-Verlag; 2006. 7. p. 77-85p. 

Balázs P, Balogh E, Kuba A. Reconstruction of 8-connected but not 4-connected hv-convex discrete sets. DISCRETE APPLIED MATHEMATICS. 2005;147:149-168.

Balázs P. Reconstruction of decomposable discrete sets from four projections. In: Andres E, Damiand G, Lienhardt P, editors. Discrete Geometry for Computer Imagery. Berlin; Heidelberg; New York; London; Paris; Tokyo: Springer Verlag; 2005. 1. p. 104-114p. 

Balázs P. Reconstruction of discrete sets from four projections: strong decomposability. ELECTRONIC NOTES IN DISCRETE MATHEMATICS. 2005;20:329-345.

Balázs P, Kuba A. Reconstruction of discrete sets from four projections: Decomposable cases. In: Csendes T, Szabó PGábor, Seb? M, Bánhelyi B, Jász J, Nagyné Hecskó G, editors. Conference of PhD Students in Computer Science. Vol Volume of Extended Abstracts.; 2004. 2. 22.

Balázs P, Balogh E, Kuba A. A fast algorithm for reconstructing hv-convex 8-connected but not 4-connected discrete sets. In: Nyström I, Sanniti di Baja G, Svensson S, editors. Discrete Geometry for Computer Imagery. Berlin; Heidelberg; New York; London; Paris; Tokyo: Springer Verlag; 2003. 3. p. 388-397p. 

Balázs P, Balogh E, Kuba A. A fast algorithm for reconstructing hv-convex 8-connected but not 4-connected discrete sets. In: Csendes T, Schrettner L, Seb? M, Szabó PGábor, Tóth B, Vinkó T, editors. Conference of PhD Students in Computer Science. Vol Volume of Extended Abstracts.; 2002. 1. 19.