Bináris képek rekonstrukciója két vetületb?l és morfológiai vázból. In: A Képfeldolgozók és Alakfelismer?k Társaságának konferenciája - KÉPAF 2013. Veszprém: NJSZT-KÉPAF; 2013. 1. p. 182-193p. 

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.

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. 

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).

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.

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.

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. 

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).

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.