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Download my selected publications
Download the list of my independent citations
Book chapter:
[1]
P. Balázs: Decomposition algorithms for
reconstructing discrete sets with disjoint components, In G.T. Herman, A. Kuba
(Eds.), Advances in Discrete Tomography
and Its Applications, Birkhäuser, Boston, pp. 153-173, 2007.
Journal articles:
[1]
P. Balázs, E. Balogh, A. Kuba: Reconstruction of
8-connected but not 4-connected hv-convex
discrete sets, Discrete Applied
Mathematics (Elsevier) 147
149-168 (2005), IF: 0.585
[2]
P. Balázs: A decomposition technique for
reconstructing discrete sets from four projections, Image and Vision Computing (Elsevier) 25:10 1609-1619 (2007), IF: 1.027
[3]
P. Balázs: On the ambiguity of reconstructing hv-convex binary matrices with
decomposable configurations, Acta
Cybernetica 18(3) 367-377 (2008)
[4]
P. Balázs: A framework for generating
some discrete sets with disjoint components by using uniform
distributions, Theoretical
Computer Science (Elsevier) 406 15-23
(2008), IF: 0.806
[5]
P. Balázs: Discrete tomographic
reconstruction of binary images with disjoint components using shape
information,
International Journal of Shape
Modeling
(World Scientific)
14:2 189-207 (2008)
[6]
P. Balázs: A benchmark set for the reconstruction of hv-convex discrete sets, Discrete Applied Mathematics
(Elsevier)
157 3447-3456 (2009), IF: 0.816
[7]
M. Gara, T.S. Tasi, P. Balázs: Learning connectedness and convexity of binary images from their projections, Pure Mathematics and Applications
20:1-2 27-48 (2009)
[8]
L. Varga, P. Balázs, A. Nagy: Projection selection dependency in binary tomography, Acta Cybernetica
20(1) 167-187 (2011)
[9]
L. Varga, P. Balázs, A. Nagy:
Direction-dependency of binary tomographic reconstruction
algorithms, Graphical Models
(Elsevier) 73 365-375 (2011), IF: 1.000
[10]
K.J. Batenburg, W.J. Palenstijn, P. Balázs, J. Sijbers:
Dynamic angle selection in binary tomography,
Computer Vision and Image Understanding
(Elsevier) 117(4) 306-318 (2013), IF: 1.358
[11]
N. Hantos, P. Balázs:
The reconstruction of polyominoes from horizontal and vertical projections
and morphological skeleton is NP-complete,
Fundamenta Informaticae (IOS Press)
125(3-4) 343-359 (2013), IF: 0.479
[12]
P. Balázs:
Complexity results for reconstructing binary images with disjoint
components from horizontal and vertical projections,
Discrete Applied Mathematics (Elsevier) 161
2224-2235 (2013), IF: 0.677
[13]
Z. Ozsvár, P. Balázs:
An empirical study of reconstructing hv-convex
binary matrices from horizontal and vertical projections,
Acta Cybernetica
21 149-163 (2013)
[14]
A. Bogdanov, V. Endrész, Sz. Urbán, I.
Lantos, J. Deák, K. Burián, K. Önder, F. Ayaydin, P. Balázs, Dezső P.
Virók: Application of DNA chip scanning technology for automatic
detection of Chlamydia trachomatis and Chlamydia pneuomoniae inclusions,
Antimicrobal Agents and
Chemotherapy (ASM)
58(1) 405-413 (2014), IF: 4.565*
[15]
N. Hantos, P. Balázs:
Random generation of hv-convex polyominoes with given horizontal projection,
Fundamenta Informaticae (IOS Press)
135(1-2) 103-115 (2014), IF: 0.479*
[16]
L.G. Varga, L.G. Nyúl, A. Nagy, P. Balázs:
Local and global uncertainty in binary tomographic reconstruction,
Computer Vision and Image Understanding
(Elsevier) 129 52-62 (2014), IF: 1.358*
[17]
L. Varga, P. Balázs, A. Nagy:
Discrete tomographic reconstruction via adaptive weighting of gradient descents,
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization (Taylor & Francis), to appear (2014)
[18]
N. Hantos, Sz. Iván, P. Balázs, K. Palágyi:
Binary image reconstruction from a small number of projections and the morphological skeleton,
Annals of Mathematics and Artificial Intelligence (Springer), to appear (2014), IF: 0.488*
[19]
A. Janovszky, A. Szabó, R. Varga, D. Garab, M. Boros, C. Mester, N. Beretka, T. Zombori, H.P. Wiesmann, R. Bernhardt, I. Ocsovszki, P. Balázs, J. Piffkó:
Periosteal microcirculatory reactions in a zoledronate-induced osteonecrosis model of the jaw in rats,
Clinical Oral Investigations (Springer), to appear (2014), IF:
2.285*
Selected
conference papers:
[1]
P. Balázs, E. Balogh, A. Kuba: A fast algorithm
for reconstructing hv-convex
8-connected but not 4-connected discrete sets, 11^{th} International Conference on Discrete Geometry for
Computer Imagery, Naples, Italy, November 2003, Proceedings, Lecture Notes in
Computer Science (Springer) 2886
388-397 (2003)
[2]
P. Balázs: Reconstruction of decomposable
discrete sets from four projections, 12^{th}
International Conference on Discrete Geometry for Computer Imagery, Poitiers,
France, April 2005, Proceedings, Lecture Notes in Computer Science
(Springer) 3429 104-114 (2005)
[3]
P. Balázs: Reconstruction of discrete sets from
four projections: strong decomposability, Workshop
on Discrete Tomography and Its Applications, New York City, USA, June 2005,
Proceedings, Electronic Notes in Discrete Mathematics (Elsevier) 20 329-345 (2005)
[4]
P. Balázs: The number of line-convex directed
polyominoes having the same orthogonal projections, 13^{th} International Conference on Discrete Geometry for
Computer Imagery, Szeged, Hungary, October 2006, Proceedings, Lecture Notes in
Computer Science (Springer) 4245 77-85 (2006)
[5]
P. Balázs: Generation and empirical
investigation of hv-convex discrete
sets, 15^{th} Scandinavian
Conference on Image Analysis, Aalborg, Denmark, June 2007, Proceedings, Lecture
Notes in Computer Science (Springer) 4522 344-353 (2007)
[6] P. Balázs:
Reconstructing some hv-convex binary
images from three or four projections, Abstracts
of the 5^{th} International Symposium on Image and Signal Processing
and Analysis,
[7]
P. Balázs: On the number of hv-convex discrete
sets, 12^{th}
International Workshop on Combinatorial Image Analysis, Buffalo, USA,
April 2008, Proceedings, Lecture
Notes in Computer Science (Springer) 4958 112-123
(2008)
[8]
P. Balázs, M. Gara: Decision trees in binary tomography for
supporting the reconstruction of hv-convex connected images,
10^{th} International Conference on Advanced Concepts for Intelligent Vision Systems, Juan-les-Pins, France,
October 2008, Proceedings, Lecture
Notes in Computer Science (Springer) 5259 433-443
(2008)
[9]
P. Balázs: Reconstruction of binary images
with few disjoint components from two projections,
4^{th} International Symposium on Visual Computing 2008, Las Vegas, USA,
December 2008, Proceedings, Lecture
Notes in Computer Science (Springer) 5359 1147-1156
(2008)
[10]
P. Balázs, M. Gara: An evolutionary approach for object based image reconstruction using learnt priors, 16^{th} Scandinavian
Conference on Image Analysis, Oslo, Norway, June 2009, Proceedings, Lecture
Notes in Computer Science (Springer) 5575 520-529 (2009)
[11]
P. Balázs: Reconstruction of canonical hv-convex discrete
sets from horizontal and vertical projections, 13^{th}
International Workshop on Combinatorial Image Analysis, Playa del Carmen, Mexico,
November 2009, Proceedings, Lecture
Notes in Computer Science (Springer) 5852 280-288
(2009)
[12]
L. Varga, P. Balázs, A. Nagy: Direction-dependency of a binary tomographic reconstruction
algorithm, 2^{nd}
International Symposium on Computational Modeling of Objects Represented in Images, Buffalo, USA,
May 2010, Proceedings, Lecture
Notes in Computer Science (Springer) 6026 242-253
(2010)
[13]
N. Hantos, P. Balázs: Image enhancement by median filters in algebraic reconstruction methods: an experimental study,
6^{th} International Symposium on Visual Computing, Las Vegas, USA,
November 2010, Proceedings, Lecture
Notes in Computer Science (Springer) 6455 339-348
(2010)
[14]
L. Varga, P. Balázs, A. Nagy: Projection selection algorithms for discrete tomography, 12^{th}
International Conference on Advanced Concepts for Intelligent Vision Systems, Sydney, Australia,
December 2010, Proceedings, Lecture
Notes in Computer Science (Springer) 6474 390-401
(2010)
[15]
T.S. Tasi, M. Hegedűs, P. Balázs: Perimeter estimation of some discrete sets from horizontal and vertical projections, 9^{th}
IASTED International Conference on Signal Processing, Pattern Recognition and Applications, Crete, Greece, June 2012, Proceedings, pp. 174-181
(2012)
[16]
P. Balázs, K.J. Batenburg: A central reconstruction based strategy for selecting projection angles in binary tomography, 9^{th}
International Conference on Image Analysis and Recognition, Aveiro, Portugal,
June 2012, Proceedings, Lecture
Notes in Computer Science (Springer) 7325 382-391
(2012)
[17]
M. Gara, T.S. Tasi, P. Balázs: Machine learning as a preprocessing phase in discrete tomography, 1^{st}
International Workshop on Applications of Discrete Geometry and Mathematical Morphology, Istanbul, Turkey,
August 2010, Revised Selected Papers, Lecture
Notes in Computer Science (Springer) 7346 109-124
(2012)
[18]
L. Varga, P. Balázs, A. Nagy: An energy minimization reconstruction algorithm for multivalued discrete tomography, 3^{rd}
International Symposium on Computational Modelling of Objects Represented
in Images, Rome, Italy, September 2012, Proceedings (Taylor &
Francis), pp. 179-185 (2012)
[19]
N. Hantos, P. Balázs, K. Palágyi: Binary
image reconstruction from two projections and skeletal information, 15^{th}
International Workshop on Combinatorial Image Analysis, Austin, TX, USA,
November 2012, Proceedings, Lecture
Notes in Computer Science (Springer) 7655 263-273
(2012)
[20]
L. Varga. L.G. Nyúl, A. Nagy, P. Balázs: Local uncertainty in binary tomographic reconstruction, 10^{th}
IASTED International Conference on Signal Processing, Pattern Recognition and Applications, Innsbruck, Austria, February 2013,
Proceedings, pp. 490-496
(2013)
[21] N. Hantos, P. Balázs:
A uniqueness result for reconstructing hv-convex polyominoes from horizontal and vertical projections and morphological
skeleton, Abstracts
of the 8^{th} International Symposium on Image and Signal Processing
and Analysis,
[22]
J. Németh, P. Balázs: Restoration of blurred binary images using discrete tomography, 15^{th}
International Conference on Advanced Concepts for Intelligent Vision Systems, Poznan, Poland,
October 2013, Proceedings, Lecture
Notes in Computer Science (Springer) 8192 80-90
(2013)
[23]
N. Hantos, P. Balázs: Reconstruction and
enumeration of hv-convex polyominoes with given horizontal projection, 18^{th}
Iberoamerican Congress on Pattern Recognition, Havana, Cuba,
November 2013, Proceedings, Lecture
Notes in Computer Science (Springer) 8258 100-107
(2013)
[24]
T.S. Tasi, L.G. Nyúl, P. Balázs:
Directional convexity measure for binary tomography, 18^{th}
Iberoamerican Congress on Pattern Recognition, Havana, Cuba,
November 2013, Proceedings, Lecture
Notes in Computer Science (Springer) 8259 9-16
(2013)
[25]
N. Hantos, P. Balázs:
Fast heuristics for eliminating switching components in binary matrices by 0-1 flips,
19^{th}
Iberoamerican Congress on Pattern Recognition, Puerto Vallarta, Mexico,
November 2014, Proceedings, Lecture
Notes in Computer Science (Springer) 8827 62-69
(2014)
[26]
N. Hantos, P. Balázs:
A fast algorithm for reconstructing hv-convex binary images from their horizontal projection,
10^{th}
International Symposium on Visual Computing, Las Vegas, USA,
December 2014, Proceedings, Lecture
Notes in Computer Science (Springer) 8888 789-798
(2014)
Further
conference papers:
[1] P. Balázs, E.
Balogh, A. Kuba: A fast algorithm for reconstructing hv-convex 8-connected but not 4-connected discrete sets, Volume of Extended Abstracts of the 3^{rd}
Conference of PhD Students in Computer Science, Szeged, Hungary, 1-4 July, 2002,
pp. 19.
[2] P. Balázs, A.
Kuba: Reconstruction of discrete sets from four projections: Decomposable
cases, Volume of Extended Abstracts of
the 4^{th} Conference of PhD Students in Computer Science, Szeged,
Hungary, 1-4 July, 2004, pp. 22.
[3] P. Balázs: On
the ambiguity of reconstructing decomposable hv-convex binary matrices, Volume
of Extended Abstracts of the 5^{th} Conference of PhD Students in
Computer Science, Szeged, Hungary, 27-30 June, 2006, pp. 17.
[4] P. Balázs:
Uniform generation of hv-convex
discrete sets, Abstracts of the 6^{th}
Conference of the Hungarian Association of Image Processing and Pattern
Recognition,
[5] M. Gara, P. Balázs: Determination of geometric features of binary images from their projections by using
decision trees, Volume
of Extended Abstracts of the 6^{th} Conference of PhD Students in
Computer Science, Szeged, Hungary, 2-5 July, 2008, pp. 26.
[6] P. Balázs: Reconstruction of binary images with disjoint components from horizontal and vertical
projections, Abstracts of the 7^{th}
Conference of the Hungarian Association of Image Processing and Pattern
Recognition,
[7] M. Gara, P. Balázs:
Preprocessing in binary tomography based on decision trees, Abstracts of
the 7^{th}
Conference of the Hungarian Association of Image Processing and Pattern
Recognition,
[8] P. Balázs:
Neutron tomography with prior information, Abstracts of
the 5^{th}
Conference on Applied Inverse Problems,
[9] M. Gara, P. Balázs: Binary tomographic reconstruction with an object-based evolutionary algorithm, Volume
of Extended Abstracts of the 7^{th} Conference of PhD Students in
Computer Science, Szeged, Hungary, 29 June - 2 July, 2010, pp. 31.
[10] N. Hantos, P. Balázs: Median filtering in algebraic reconstruction methods, Volume
of Extended Abstracts of the 7^{th} Conference of PhD Students in
Computer Science, Szeged, Hungary, 29 June - 2 July, 2010, pp. 36.
[11] T.S. Tasi, P. Balázs: Obtaining geometrical properties of binary images from two projections using
neural networks, Volume
of Extended Abstracts of the 7^{th} Conference of PhD Students in
Computer Science, Szeged, Hungary, 29 June - 2 July, 2010, pp. 69.
[12] L. Varga, P. Balázs, A. Nagy: Object Rotation effects on binary tomographic reconstruction, Volume
of Extended Abstracts of the 7^{th} Conference of PhD Students in
Computer Science, Szeged, Hungary, 29 June - 2 July, 2010, pp. 76.
[13] P. Balázs, M. Gara, T.S. Tasi: Machine learning for supporting binary
tomographic reconstruction, Proceedings of the Workshop on Applications of Discrete Geometry in Mathematical Morphology,
Istanbul, Turkey, 22 August, 2010, pp. 101-105.
[14]
L.
Varga, P. Balázs, A. Nagy:
Projection direction dependency in binary tomography, Abstracts of the 8^{th}
Conference of the Hungarian Association of Image Processing and Pattern
Recognition,
[15]
N.
Hantos, P. Balázs:
Median filtering in algebraic reconstruction methods, Abstracts of the 8^{th}
Conference of the Hungarian Association of Image Processing and Pattern
Recognition,
[16]
M. Gara,
P. Balázs:
Binary tomographic reconstruction with an object-based evolutionary
algorithm, Abstracts of the 8^{th}
Conference of the Hungarian Association of Image Processing and Pattern
Recognition,
[17]
M. Gara,
P. Balázs:
Artificial intelligence methods in discrete tomography,
Volume
of Extended Abstracts of the 8^{th} Conference of PhD Students in
Computer Science, Szeged, Hungary, 28-30 June, 2012, pp.
16.
[18]
N.
Hantos, P. Balázs, K. Palágyi:
Binary tomography using two projections and morphological skeleton,
Volume
of Extended Abstracts of the 8^{th} Conference of PhD Students in
Computer Science, Szeged, Hungary, 28-30 June, 2012, pp.
20.
[19]
Z. Ozsvár, P. Balázs:
Empirical studies of reconstructing hv-convex binary matrices from horizontal and vertical projections, Volume
of Extended Abstracts of the 8^{th} Conference of PhD Students in
Computer Science, Szeged, Hungary, 28-30 June, 2012, pp.
44.
[20]
T.S.
Tasi, P. Balázs:
Extracting geometrical features of discrete images from their projections,
Volume
of Extended Abstracts of the 8^{th} Conference of PhD Students in
Computer Science, Szeged, Hungary, 28-30 June, 2012, pp.
52.
[21]
L.
Varga, A. Nagy, P. Balázs:
A novel optimization-based reconstruction algorithm for multivalued
discrete tomography,
Volume
of Extended Abstracts of the 8^{th} Conference of PhD Students in
Computer Science, Szeged, Hungary, 28-30 June, 2012, pp.
57.
[22] A. Bogdanov, Sz. Urbán, V. Endrész, K. Burián, P. Balázs, J. Deák, D. Virók:
Automatic counting of chlamydial inclusions using a fluorescent DNA chip scanner,
Abstracts of the 11^{th} István Cserháti Memorial Meeting for Young Researchers, Szeged, Hungary, 23-24 November, 2012,
pp. 37. (in Hungarian)
[23] L. Varga, P. Balázs, A. Nagy:
An optimization-based reconstruction algorithm for multivalued discrete tomography,
Program and Abstracts of the 5^{th} Veszprém Optimization Conference: Advanced Algorithms VOCAL 2012, Veszprém, Hungary,
11-14 December, 2012,
pp. 39.
[24] N. Hantos, P. Balázs, K. Palágyi:
Solving binary tomography from morphological skeleton via optimization,
Program and Abstracts of the 5^{th} Veszprém Optimization Conference: Advanced Algorithms VOCAL 2012, Veszprém,
Hungary, 11-14 December, 2012,
pp. 42.
[25] N.
Hantos, P. Balázs, K. Palágyi: Reconstruction of binary images from two
projections and morphological skeleton,
Abstracts of the 9^{th}
Conference of the Hungarian Association of Image Processing and Pattern
Recognition,
[26] Z. Ozsvár, P. Balázs:
A comparison of heuristics for reconstructing hv-convex binary matrices from horizontal and vertical projections, Abstracts of the 9^{th}
Conference of the Hungarian Association of Image Processing and Pattern
Recognition,
[27] L. Varga, P. Balázs, A. Nagy:
Discrete tomography by automatic weighting of gradient descents,
Abstracts of the 9^{th}
Conference of the Hungarian Association of Image Processing and Pattern
Recognition,
[28] I. Lantos, A. Bogdanov, V. Endrész, Sz. Urbán, J. Deák, K. Burián, K. Önder, P. Balázs, D.P. Virók, Application of DNA chip scanning technology for the automatic detection of chlamydia trachomatis and chlamydia pneumoniae inclusions, Acta Microbiologica et Immunologica Hungarica (Akadémiai Kiadó) 60:(Suppi.1) 173-174 (2013)
[29]
N.
Hantos, P. Balázs:
Eliminating switching components in binary matrices, Volume
of Extended Abstracts of the 9^{th} Conference of PhD Students in
Computer Science, Szeged, Hungary, 30 June - 2 July, 2014, pp.
21.
[30]
Z.
Ozsvar, P. Balázs:
Reconstruction of hv-convex binary matrices from horizontal and
vertical projections based on simulated annealing, Volume
of Extended Abstracts of the 9^{th} Conference of PhD Students
in
Computer Science, Szeged, Hungary, 30 June -2 July, 2014, pp.
50.
[31]
N.
Hantos, P. Balázs:
Polynominal time heuristics for eliminating switching components via 0-1
flips,
Abstracts of the 10^{th}
Conference of the Hungarian Association of Image Processing and Pattern
Recognition,
[32]
Gy.
Kalmár, P. Balázs:
A low-cost, intelligent, mobile-based home surveillance system,
Abstracts of the 10^{th}
Conference of the Hungarian Association of Image Processing and Pattern
Recognition,