@article{MTMT:34199725,
	title = {Extracting Line Parameters of Woven Wire Mesh in Images under Directional Illumination},
	url = {https://m2.mtmt.hu/api/publication/34199725},
	author = {Körmöczi, László Ádám and Nyúl, László Gábor},
	doi = {10.14232/actacyb.299046},
	journal-iso = {ACTA CYBERN-SZEGED},
	journal = {ACTA CYBERNETICA},
	unique-id = {34199725},
	issn = {0324-721X},
	year = {2024},
	eissn = {2676-993X},
	orcid-numbers = {Nyúl, László Gábor/0000-0002-3826-543X}
}

@article{MTMT:34170710,
	title = {A temporally and spatially explicit, data-driven estimation of airborne ragweed pollen concentrations across Europe},
	url = {https://m2.mtmt.hu/api/publication/34170710},
	author = {Makra, László and Matyasovszky, István and Tusnády, Gábor and Ziska, Lewis H. and Hess, Jeremy J. and Nyúl, László Gábor and Chapman, Daniel S. and Coviello, Luca and Gobbi, Andrea and Jurman, Giuseppe and Furlanello, Cesare and Brunato, Mauro and Damialis, Athanasios and Charalampopoulos, Athanasios and Müller-Schärer, Heinz and Schneider, Norbert and Szabó, Bence and Sümeghy, Zoltán and Páldy, Anna and Magyar, Donát and Bergmann, Karl-Christian and Deák, József Áron and Mikó, Edit and Thibaudon, Michel and Oliver, Gilles and Albertini, Roberto and Bonini, Maira and Šikoparija, Branko and Radišić, Predrag and Josipović, Mirjana Mitrović and Gehrig, Regula and Severova, Elena and Shalaboda, Valentina and Stjepanović, Barbara and Ianovici, Nicoleta and Berger, Uwe and Seliger, Andreja Kofol and Rybníček, Ondřej and Myszkowska, Dorota and Dąbrowska-Zapart, Katarzyna and Majkowska-Wojciechowska, Barbara and Weryszko-Chmielewska, Elzbieta and Grewling, Łukasz and Rapiejko, Piotr and Malkiewicz, Malgorzata and Šaulienė, Ingrida and Prykhodo, Olexander and Maleeva, Anna and Rodinkova, Victoria and Palamarchuk, Olena and Ščevková, Jana and Bullock, James M.},
	doi = {10.1016/j.scitotenv.2023.167095},
	journal-iso = {SCI TOTAL ENVIRON},
	journal = {SCIENCE OF THE TOTAL ENVIRONMENT},
	volume = {905},
	unique-id = {34170710},
	issn = {0048-9697},
	year = {2023},
	eissn = {1879-1026},
	orcid-numbers = {Makra, László/0000-0001-7424-8963; Nyúl, László Gábor/0000-0002-3826-543X; Mikó, Edit/0000-0001-6389-3502}
}

@CONFERENCE{MTMT:33853412,
	title = {Stage dependent oscillatory pattern analysis in Wisket schizophrenia rat model},
	url = {https://m2.mtmt.hu/api/publication/33853412},
	author = {Adlan, Leatitia Gabriella and Csordás-Nagy, Mátyás and Bodosi, Balázs and Kalmár, György and Nyúl, László Gábor and Nagy, Attila and Kékesi, Gabriella and Büki, Alexandra and Horváth, Gyöngyi},
	booktitle = {FENS Forum 2022},
	unique-id = {33853412},
	year = {2022},
	pages = {1957-1957},
	orcid-numbers = {Kalmár, György/0000-0003-4797-6900; Nyúl, László Gábor/0000-0002-3826-543X; Kékesi, Gabriella/0000-0002-0185-2155; Büki, Alexandra/0000-0003-2078-5231; Horváth, Gyöngyi/0000-0002-6025-4577}
}

@CONFERENCE{MTMT:33652950,
	title = {Detecting Corrugated Wire Mesh in Images},
	url = {https://m2.mtmt.hu/api/publication/33652950},
	author = {Körmöczi, László Ádám and Nyúl, László Gábor},
	booktitle = {The 13th Conference of PhD Students in Computer Science},
	unique-id = {33652950},
	year = {2022},
	pages = {116},
	orcid-numbers = {Nyúl, László Gábor/0000-0002-3826-543X}
}

@CONFERENCE{MTMT:32855717,
	title = {Oscillatory pattern analysis in a multiple hit schizophrenia rat model (Wisket)},
	url = {https://m2.mtmt.hu/api/publication/32855717},
	author = {Adlan, Leatitia Gabriella and Csordás-Nagy, Mátyás and Bodosi, Balázs and Kalmár, György and Nyúl, László Gábor and Nagy, Attila and Kékesi, Gabriella and Büki, Alexandra and Horváth, Gyöngyi},
	booktitle = {International Neuroscience Meeting, Budapest 2022},
	unique-id = {32855717},
	year = {2022},
	pages = {48-48},
	orcid-numbers = {Kalmár, György/0000-0003-4797-6900; Nyúl, László Gábor/0000-0002-3826-543X; Kékesi, Gabriella/0000-0002-0185-2155; Büki, Alexandra/0000-0003-2078-5231; Horváth, Gyöngyi/0000-0002-6025-4577}
}

@article{MTMT:32636769,
	title = {Sleep-Wake Rhythm and Oscillatory Pattern Analysis in a Multiple Hit Schizophrenia Rat Model (Wisket)},
	url = {https://m2.mtmt.hu/api/publication/32636769},
	author = {Adlan, Leatitia Gabriella and Csordás-Nagy, Mátyás and Bodosi, Balázs and Kalmár, György and Nyúl, László Gábor and Nagy, Attila and Kékesi, Gabriella and Büki, Alexandra and Horváth, Gyöngyi},
	doi = {10.3389/fnbeh.2021.799271},
	journal-iso = {FRONT BEHAV NEUROSCI},
	journal = {FRONTIERS IN BEHAVIORAL NEUROSCIENCE},
	volume = {15},
	unique-id = {32636769},
	year = {2022},
	eissn = {1662-5153},
	orcid-numbers = {Kalmár, György/0000-0003-4797-6900; Nyúl, László Gábor/0000-0002-3826-543X; Kékesi, Gabriella/0000-0002-0185-2155; Büki, Alexandra/0000-0003-2078-5231; Horváth, Gyöngyi/0000-0002-6025-4577}
}

@CONFERENCE{MTMT:33652798,
	title = {Rágcsálók viselkedésmintázatának kutatása automatizált videóelemzéssel},
	url = {https://m2.mtmt.hu/api/publication/33652798},
	author = {Körmöczi, László Ádám and Kalmár, György and Adlan, Leatitia Gabriella and Büki, Alexandra and Kékesi, Gabriella and Horváth, Gyöngyi and Nyúl, László Gábor},
	booktitle = {Képfeldolgozók és Alakfelismerők társaságának 13. konferenciája},
	unique-id = {33652798},
	year = {2021},
	orcid-numbers = {Kalmár, György/0000-0003-4797-6900; Büki, Alexandra/0000-0003-2078-5231; Kékesi, Gabriella/0000-0002-0185-2155; Horváth, Gyöngyi/0000-0002-6025-4577; Nyúl, László Gábor/0000-0002-3826-543X}
}

@article{MTMT:31927327,
	title = {Two Classes of T1 Hypointense Lesions in Multiple Sclerosis With Different Clinical Relevance},
	url = {https://m2.mtmt.hu/api/publication/31927327},
	author = {Kocsis, Krisztián and Szabó, Nikoletta and Tóth, Eszter and Király, András and Faragó, Péter and Kincses, Bálint and Veréb, Dániel and Bozsik, Bence and Boross, Katalin and Katona, Melinda and Bodnár, Péter and Nyúl, László Gábor and Vécsei, László and Klivényi, Péter and Bencsik, Krisztina and Kincses, Zsigmond Tamás},
	doi = {10.3389/fneur.2021.619135},
	journal-iso = {FRONT NEUR},
	journal = {FRONTIERS IN NEUROLOGY},
	volume = {12},
	unique-id = {31927327},
	issn = {1664-2295},
	year = {2021},
	eissn = {1664-2295},
	orcid-numbers = {Faragó, Péter/0000-0002-1094-0237; Kincses, Bálint/0000-0002-0478-6384; Veréb, Dániel/0000-0003-2077-5252; Katona, Melinda/0000-0001-8236-0955; Bodnár, Péter/0000-0002-5302-612X; Nyúl, László Gábor/0000-0002-3826-543X; Vécsei, László/0000-0001-8037-3672; Klivényi, Péter/0000-0002-5389-3266; Bencsik, Krisztina/0000-0002-1400-1288; Kincses, Zsigmond Tamás/0000-0002-1442-4475}
}

@inproceedings{MTMT:31144987,
	title = {Segmentation of Subretinal Hyperreflective Material and Pigment Epithelial Detachment Using Kernel Graph Cut},
	url = {https://m2.mtmt.hu/api/publication/31144987},
	author = {Katona, Melinda and Kovács, Attila and Dégi, Rózsa and Nyúl, László Gábor},
	booktitle = {Progress in Computer Recognition Systems},
	doi = {10.1007/978-3-030-19738-4_11},
	unique-id = {31144987},
	abstract = {Optical Coherence Tomography (OCT) is one of the most advanced, non-invasive method of eye examination. Age-related macular degeneration (AMD) is one of the most frequent reasons of acquired blindness and it has two forms. Our aim is to develop automatic methods that can accurately identify and characterize biomarkers in SD-OCT images, related to wet AMD. Detection of biomarkers can be challenging because of their variable shape, size, location and reflectivity. In this paper, we present an automatic method to localize subretinal hyperreflective material (SHRM) and pigment epithelial detachment (PED) via kernel graph cut. The proposed method is evaluated using an annotated dataset by ophthalmologists. The Dice coefficient was 0.81 (±0.11) in the case of PED and 0.77 (±0.11) for SHRM. In many cases, the ophthalmologist cannot clearly determine the exact location and extent of the biomarkers, so our achieved results are promising.},
	keywords = {Biomarkers; TOMOGRAPHY; Ophthalmology; optical coherence tomography; Noninvasive medical procedures; Graphic methods; age-related macular degeneration; OPTICAL TOMOGRAPHY; Automatic method; Graph cut; Pigment epithelial detachment; Subretinal hyperreflective material; Dice coefficient; Noninvasive methods; OCT images; Variable shape},
	year = {2020},
	pages = {98-105},
	orcid-numbers = {Katona, Melinda/0000-0001-8236-0955; Nyúl, László Gábor/0000-0002-3826-543X}
}

@article{MTMT:30833928,
	title = {Distance transform and template matching based methods for localization of barcodes and QR codes},
	url = {https://m2.mtmt.hu/api/publication/30833928},
	author = {Katona, Melinda and Bodnár, Péter and Nyúl, László Gábor},
	doi = {10.2298/CSIS181011020K},
	journal-iso = {COMPUT SCI INF SYST},
	journal = {COMPUTER SCIENCE AND INFORMATION SYSTEMS},
	volume = {17},
	unique-id = {30833928},
	issn = {1820-0214},
	abstract = {Visual codes play an important role in automatic identification, which became an inseparable part of industrial processes. Thanks to the revolution of smartphones and telecommunication, it also becomes more and more popular in everyday life, containing embedded web addresses or other small informative texts. While barcode reading is straightforward in images having optimal parameters (fo cus, illumination, code orientation, and position), localization of code regions is still challenging in many scenarios. Every setup has its own characteristics, there fore many approaches are justifiable. Industrial applications are likely to have more fixed parameters like illumination, camera type and code size, and processing speed and accuracy are the most important requirements. In everyday use, like with smart phone cameras, a wide variety of code types, sizes, noise levels and blurring can be observed, but the processing speed is often not crucial, and the image acquisition process can be repeated in order for successful detection. In this paper, we address this problem with two novel methods for localization of 1D barcodes based on template matching and distance transformation, and a third method for QR codes. Our proposed approaches can simultaneously localize sev eral different types of codes. We compare the effectiveness of the proposed methods with several approaches from the literature using public databases and a large set of synthetic images as a benchmark. The evaluation shows that the proposed methods are efficient, having 84.3% Jaccard accuracy, superior to other approaches. One of the presented approaches is an improvement on our previous work. Our template matching based method is computationally more complex, however, it can be adapted to specific code types producing high accuracy. The other method uses distance transformation, which is fast and gives rough regions of interests that can contain valid visual code candidates.},
	year = {2020},
	eissn = {1820-0214},
	pages = {161-179},
	orcid-numbers = {Katona, Melinda/0000-0001-8236-0955; Bodnár, Péter/0000-0002-5302-612X; Nyúl, László Gábor/0000-0002-3826-543X}
}