TY - JOUR AU - Körmöczi, László Ádám AU - Nyúl, László Gábor TI - Extracting Line Parameters of Woven Wire Mesh in Images under Directional Illumination JF - ACTA CYBERNETICA J2 - ACTA CYBERN-SZEGED PY - 2024 PG - 10 SN - 0324-721X DO - 10.14232/actacyb.299046 UR - https://m2.mtmt.hu/api/publication/34199725 ID - 34199725 LA - English DB - MTMT ER - TY - JOUR AU - Makra, László AU - Matyasovszky, István AU - Tusnády, Gábor AU - Ziska, Lewis H. AU - Hess, Jeremy J. AU - Nyúl, László Gábor AU - Chapman, Daniel S. AU - Coviello, Luca AU - Gobbi, Andrea AU - Jurman, Giuseppe AU - Furlanello, Cesare AU - Brunato, Mauro AU - Damialis, Athanasios AU - Charalampopoulos, Athanasios AU - Müller-Schärer, Heinz AU - Schneider, Norbert AU - Szabó, Bence AU - Sümeghy, Zoltán AU - Páldy, Anna AU - Magyar, Donát AU - Bergmann, Karl-Christian AU - Deák, József Áron AU - Mikó, Edit AU - Thibaudon, Michel AU - Oliver, Gilles AU - Albertini, Roberto AU - Bonini, Maira AU - Šikoparija, Branko AU - Radišić, Predrag AU - Josipović, Mirjana Mitrović AU - Gehrig, Regula AU - Severova, Elena AU - Shalaboda, Valentina AU - Stjepanović, Barbara AU - Ianovici, Nicoleta AU - Berger, Uwe AU - Seliger, Andreja Kofol AU - Rybníček, Ondřej AU - Myszkowska, Dorota AU - Dąbrowska-Zapart, Katarzyna AU - Majkowska-Wojciechowska, Barbara AU - Weryszko-Chmielewska, Elzbieta AU - Grewling, Łukasz AU - Rapiejko, Piotr AU - Malkiewicz, Malgorzata AU - Šaulienė, Ingrida AU - Prykhodo, Olexander AU - Maleeva, Anna AU - Rodinkova, Victoria AU - Palamarchuk, Olena AU - Ščevková, Jana AU - Bullock, James M. TI - A temporally and spatially explicit, data-driven estimation of airborne ragweed pollen concentrations across Europe JF - SCIENCE OF THE TOTAL ENVIRONMENT J2 - SCI TOTAL ENVIRON VL - 905 PY - 2023 PG - 18 SN - 0048-9697 DO - 10.1016/j.scitotenv.2023.167095 UR - https://m2.mtmt.hu/api/publication/34170710 ID - 34170710 N1 - Institute of Economics and Rural Development, Faculty of Agriculture, University of Szeged, Andrássy út 15, Hódmezővásárhely, 6800, Hungary Department of Meteorology, Eötvös Loránd University, P.O.B. 32, Budapest, 1518, Hungary Alfréd Rényi Institute of Mathematics, P.O.B 127, Budapest, 1364, Hungary Mailman School of Public Health, Columbia University, New York, NY 10032, United States Department of Global Health, University of Washington, Seattle, WA 98105, United States Department of Image Processing and Computer Graphics, University of Szeged, P.O.B. 652, Szeged, 6701, Hungary Biological and Environmental Sciences, Faculty of Natural Sciences, University of Stirling, Scotland, Stirling, FK9 4LA, United Kingdom University of Trento and Enogis s.r.l., Trento, Italy Bruno Kessler Foundation, Trento, Italy HK3 Lab, Rovereto, Italy Department of Information Engineering and Computer Science, University of Trento, Trento, Italy Terrestrial Ecology and Climate Change, Department of Ecology, School of Biology, Aristotle University of Thessaloniki, Thessaloniki, GR-54124, Greece Departement of Biology, Unit of Ecology and Evolution, University of Fribourg, Fribourg, CH-1700, Switzerland National Institute of Environmental Health, Albert Flórián út 2-6, Budapest, 1097, Hungary Institute of Allergology, Charité, Hindenburgdamm 30, Berlin, 12203, Germany Institute of Animal Science and Wildlife Management, Faculty of Agriculture, University of Szeged, Andrássy út 15, Hódmezővásárhely, 6800, Hungary Réseau National de Surveillance Aérobiologique, 11 chemin de la Creuzille, Le Plat du Pin, Brussieu, 696905, France Laboratory of Hygiene and Aerobiology, Department of Medicine and Surgery, University of Parma, U.O. Medicina Interna di Continuità, Azienda Ospedaliero-Universitaria di Parma, Via Gramsci 14, Parma, 43126, Italy Department of Hygiene and Health Prevention, ATS (Agency for Health Protection of Metropolitan Area of Milan), Hygiene and Public Health Service, via Spagliardi 19, Parabiago, Milan, 20015, Italy BioSensе Institute - Research Institute for Information Technologies in Biosystems, University of Novi Sad, Dr. Zorana Đinđića 1, Novi Sad, 21000, Serbia Ministry of Environmental Protection, Environmental Protection Agency, Ruže Jovanoviüa 27a, Belgrade, 11000, Serbia Federal Department of Home Affairs FDHA, Federal Office of Meteorology and Climatology MeteoSwiss, Operation Center 1, P.O. Box, CH-8058, Zurich-Airport, Switzerland Lomonosov Moscow State University, Biological Faculty, 1-12 Leninskie Gory, Moscow, 119991, Russian Federation State Institution (Scientific and Practical Center (SPC) of the State Forensic Examination Committee of the Republic of Belarus, Akademicheskaya Str. 27, Minsk, 220072, Belarus Teaching Institut of Public Health “Dr Andrija Śtampar”, Zagreb, 10000, Croatia West University of Timişoara, Blvd. V. Parvan 4, Timişoara, 300223, Romania Department of Oto-Rhino-Laryngology, HNO Klinik, Medical University of Vienna, Waehringer Guertel 18-20, Vienna, 1090, Austria National Laboratory of Health, Environment and Food, Center for Environment and Health, Department for Air, Noise, Environmental Impact Assessment and Aerobiology, Grablovičeva ulica 44, Ljubljana, 1000, Slovenia Pediatric Department, University Hospital and Masaryk University, Brno, Jihlavská 20, Brno, 00, Czech Republic Jagiellonian University, Medical College, Department of Clinical and Environmental Allergology, ul. Kopernika 15A, Kraków, 31-531, Poland Institute of Earth Sciences, Faculty of Natural Sciences, University of Silesia in Katowice, Bedzinska 60, Sosnowiec, 41-200, Poland Aeroallergen Monitoring Centre “AMoC”, Department of Immunology, Rheumatology and Allergy, Medical University of Lodz, Pomorska 251, Lodz, 92-213, Poland Department of Botany, University of Life Sciences, 13 Akademicka Street, Lublin, 20-950, Poland Laboratory of Aerobiology, Department of Systematic and Environmental Botany, Faculty of Biology, Adam Mickiewicz University, Poznań, Poland Allergen Research Center Ltd., Warsaw, Poland Department of Palaeobotany, Institute of Geological Sciences, University of Wroclaw, Poland Vilnius University, Siauliai Academy, Vytauto 84, SiauliaiLT-76352, Lithuania Department of Medical Biology, Zaporizhia State Medical University, Zaporizhia, 69035, Ukraine National Pirogov Memorial Medical University, Vinnytsya, 56 Pirogov street, Vinnytsia, 21018, Ukraine Department of Botany, Comenius University, Šafárikovo námestie 6, Bratislava, 81806, Slovakia UK Centre for Ecology & Hydrology, Maclean Building, Benson Lane, Crowmarsh Gifford, Wallingford, OX10 8BB, United Kingdom Orobix Life Srl, Bergamo-Rovereto, Italy Export Date: 9 February 2024 CODEN: STEVA Correspondence Address: Makra, L.; Institute of Economics and Rural Development, Andrássy út 15, Hungary; email: makralaszlo@szte.hu LA - English DB - MTMT ER - TY - CONF AU - Adlan, Leatitia Gabriella AU - Csordás-Nagy, Mátyás AU - Bodosi, Balázs AU - Kalmár, György AU - Nyúl, László Gábor AU - Nagy, Attila AU - Kékesi, Gabriella AU - Büki, Alexandra AU - Horváth, Gyöngyi ED - FENS, Federation European Neuroscience Societies TI - Stage dependent oscillatory pattern analysis in Wisket schizophrenia rat model T2 - FENS Forum 2022 PY - 2022 SP - 1957 EP - 1957 PG - 1 UR - https://m2.mtmt.hu/api/publication/33853412 ID - 33853412 LA - English DB - MTMT ER - TY - CONF AU - Körmöczi, László Ádám AU - Nyúl, László Gábor ED - Jász, Judit ED - Bánhelyi, Balázs ED - Gergely, Tamás ED - Katona, Melinda ED - Kincses, Zoltán TI - Detecting Corrugated Wire Mesh in Images T2 - The 13th Conference of PhD Students in Computer Science PB - Szegedi Tudományegyetem, Informatikai Intézet C1 - Szeged PY - 2022 SP - 116 UR - https://m2.mtmt.hu/api/publication/33652950 ID - 33652950 LA - English DB - MTMT ER - TY - CONF AU - Adlan, Leatitia Gabriella AU - Csordás-Nagy, Mátyás AU - Bodosi, Balázs AU - Kalmár, György AU - Nyúl, László Gábor AU - Nagy, Attila AU - Kékesi, Gabriella AU - Büki, Alexandra AU - Horváth, Gyöngyi TI - Oscillatory pattern analysis in a multiple hit schizophrenia rat model (Wisket) T2 - International Neuroscience Meeting, Budapest 2022 PY - 2022 SP - 48 EP - 48 PG - 1 UR - https://m2.mtmt.hu/api/publication/32855717 ID - 32855717 LA - English DB - MTMT ER - TY - JOUR AU - Adlan, Leatitia Gabriella AU - Csordás-Nagy, Mátyás AU - Bodosi, Balázs AU - Kalmár, György AU - Nyúl, László Gábor AU - Nagy, Attila AU - Kékesi, Gabriella AU - Büki, Alexandra AU - Horváth, Gyöngyi TI - Sleep-Wake Rhythm and Oscillatory Pattern Analysis in a Multiple Hit Schizophrenia Rat Model (Wisket) JF - FRONTIERS IN BEHAVIORAL NEUROSCIENCE J2 - FRONT BEHAV NEUROSCI VL - 15 PY - 2022 PG - 14 SN - 1662-5153 DO - 10.3389/fnbeh.2021.799271 UR - https://m2.mtmt.hu/api/publication/32636769 ID - 32636769 N1 - Department of Physiology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary Department of Technical Informatics, Faculty of Science and Informatics, Institute of Informatics, University of Szeged, Szeged, Hungary Department of Image Processing and Computer Graphics, Faculty of Science and Informatics, Institute of Informatics, University of Szeged, Szeged, Hungary Export Date: 25 May 2022 Correspondence Address: Horvath, G.; Department of Physiology, Hungary; email: horvath.gyongyi@med.u-szeged.hu LA - English DB - MTMT ER - TY - CONF AU - Körmöczi, László Ádám AU - Kalmár, György AU - Adlan, Leatitia Gabriella AU - Büki, Alexandra AU - Kékesi, Gabriella AU - Horváth, Gyöngyi AU - Nyúl, László Gábor TI - Rágcsálók viselkedésmintázatának kutatása automatizált videóelemzéssel T2 - Képfeldolgozók és Alakfelismerők társaságának 13. konferenciája PB - Képfeldolgozók és Alakfelismerők Társasága C1 - Budapest PY - 2021 PG - 17 UR - https://m2.mtmt.hu/api/publication/33652798 ID - 33652798 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Kocsis, Krisztián AU - Szabó, Nikoletta AU - Tóth, Eszter AU - Király, András AU - Faragó, Péter AU - Kincses, Bálint AU - Veréb, Dániel AU - Bozsik, Bence AU - Boross, Katalin AU - Katona, Melinda AU - Bodnár, Péter AU - Nyúl, László Gábor AU - Vécsei, László AU - Klivényi, Péter AU - Bencsik, Krisztina AU - Kincses, Zsigmond Tamás TI - Two Classes of T1 Hypointense Lesions in Multiple Sclerosis With Different Clinical Relevance JF - FRONTIERS IN NEUROLOGY J2 - FRONT NEUR VL - 12 PY - 2021 PG - 8 SN - 1664-2295 DO - 10.3389/fneur.2021.619135 UR - https://m2.mtmt.hu/api/publication/31927327 ID - 31927327 N1 - Funding Agency and Grant Number: National Brain Research Programs [KTIA_13_NAP-A-II/20]; Horizon 2020 grant [H2020-MSCA-RISE-2016 734718]; EFOP grant [EFOP-3.6.1-16-2016-00008]; Bolyai Scholarship Program of the Hungarian Academy of Sciences; New National Excellence Program of the Ministry of Human Capacities [UNKP-19-3-SZTE-149] Funding text: This paper was supported by the National Brain Research Programs (Grant No. KTIA_13_NAP-A-II/20), by a Horizon 2020 grant (H2020-MSCA-RISE-2016 734718), an EFOP grant (EFOP-3.6.1-16-2016-00008). NS was supported by the Bolyai Scholarship Program of the Hungarian Academy of Sciences. KK was supported by the UNKP-19-3-SZTE-149 New National Excellence Program of the Ministry of Human Capacities. Department of Neurology, Albert Szent-Györgyi Clinical Center, University of Szeged, Szeged, Hungary Department of Radiology, Albert Szent-Györgyi Clinical Center, University of Szeged, Szeged, Hungary Department of Image Processing and Computer Graphics, University of Szeged, Szeged, Hungary Magyar Tudományos Akadémia-Szegedi Tudományegyetem (MTA-SZTE, Neuroscience Research Group, Szeged, Hungary Export Date: 11 April 2021 Correspondence Address: Kincses, Z.T.; Department of Neurology, Hungary; email: kincses.zsigmond.tamas@med.u-szeged.hu Correspondence Address: Kincses, Z.T.; Department of Radiology, Hungary; email: kincses.zsigmond.tamas@med.u-szeged.hu Tradenames: Discovery 750w 3T, GE Healthcare, United Kingdom Manufacturers: GE Healthcare, United Kingdom Funding details: KTIA_13_NAP-A-II/20 Funding details: Magyar Tudományos Akadémia, MTA, UNKP-19-3-SZTE-149 Funding details: Emberi Eroforrások Minisztériuma, EMMI Funding details: Horizon 2020, EFOP-3.6.1-16-2016-00008, H2020-MSCA-RISE-2016 734718 Funding text 1: This paper was supported by the National Brain Research Programs (Grant No. KTIA_13_NAP-A-II/20), by a Horizon 2020 grant (H2020-MSCA-RISE-2016 734718), an EFOP grant (EFOP-3.6.1-16-2016-00008). NS was supported by the Bolyai Scholarship Program of the Hungarian Academy of Sciences. KK was supported by the UNKP-19-3-SZTE-149 New National Excellence Program of the Ministry of Human Capacities. Department of Neurology, Albert Szent-Györgyi Clinical Center, University of Szeged, Szeged, Hungary Department of Radiology, Albert Szent-Györgyi Clinical Center, University of Szeged, Szeged, Hungary Department of Image Processing and Computer Graphics, University of Szeged, Szeged, Hungary Magyar Tudományos Akadémia-Szegedi Tudományegyetem (MTA-SZTE, Neuroscience Research Group, Szeged, Hungary Export Date: 17 September 2021 Correspondence Address: Kincses, Z.T.; Department of Neurology, Hungary; email: kincses.zsigmond.tamas@med.u-szeged.hu Correspondence Address: Kincses, Z.T.; Department of Radiology, Hungary; email: kincses.zsigmond.tamas@med.u-szeged.hu Tradenames: Discovery 750w 3T, GE Healthcare, United Kingdom Manufacturers: GE Healthcare, United Kingdom Funding details: KTIA_13_NAP-A-II/20 Funding details: Magyar Tudományos Akadémia, MTA, UNKP-19-3-SZTE-149 Funding details: Emberi Eroforrások Minisztériuma, EMMI Funding details: Horizon 2020, EFOP-3.6.1-16-2016-00008, H2020-MSCA-RISE-2016 734718 Funding text 1: This paper was supported by the National Brain Research Programs (Grant No. KTIA_13_NAP-A-II/20), by a Horizon 2020 grant (H2020-MSCA-RISE-2016 734718), an EFOP grant (EFOP-3.6.1-16-2016-00008). NS was supported by the Bolyai Scholarship Program of the Hungarian Academy of Sciences. KK was supported by the UNKP-19-3-SZTE-149 New National Excellence Program of the Ministry of Human Capacities. LA - English DB - MTMT ER - TY - CHAP AU - Katona, Melinda AU - Kovács, Attila AU - Dégi, Rózsa AU - Nyúl, László Gábor TI - Segmentation of Subretinal Hyperreflective Material and Pigment Epithelial Detachment Using Kernel Graph Cut T2 - Progress in Computer Recognition Systems PB - Springer Netherlands CY - Cham SN - 9783030197384 T3 - Advances in Intelligent Systems and Computing, ISSN 2194-5357 ; 977. PY - 2020 SP - 98 EP - 105 PG - 8 DO - 10.1007/978-3-030-19738-4_11 UR - https://m2.mtmt.hu/api/publication/31144987 ID - 31144987 N1 - A sorozat rendelkezik IF [és vagy] SJR értékkel - 2020-ban Advances in Intelligent Systems and Computing nincs SJR adat (NM, SZTE admin5, 2023.05.29.) AB - 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. LA - English DB - MTMT ER - TY - JOUR AU - Katona, Melinda AU - Bodnár, Péter AU - Nyúl, László Gábor TI - Distance transform and template matching based methods for localization of barcodes and QR codes JF - COMPUTER SCIENCE AND INFORMATION SYSTEMS J2 - COMPUT SCI INF SYST VL - 17 PY - 2020 IS - 1 SP - 161 EP - 179 PG - 19 SN - 1820-0214 DO - 10.2298/CSIS181011020K UR - https://m2.mtmt.hu/api/publication/30833928 ID - 30833928 N1 - Cited By :3 Export Date: 30 March 2023 Funding details: European Commission, EC Funding details: European Social Fund, ESF, A/2-11-1-2012-0001 Funding text 1: This work was supported by the project “Integrated program for training new generation of scientists in the fields of computer science”, No. EFOP-3.6.3-VEKOP-16-2017-0002. The project has been supported by the European Union and co-funded by the European Social Fund. Melinda Katona was supported by the European Union and the State of Hungary, co-financed by the European Social Fund in the framework of TÁMOP 4.2.4.A/2-11-1-2012-0001 ’National Excellence Program’. The authors would like to thank Dr. Attila Tanács for his detailed and helpful comments and suggestions. Funding text 2: This work was supported by the project ?Integrated program for training new generation of scientists in the fields of computer science?, No. EFOP-3.6.3-VEKOP-16-2017-0002. The project has been supported by the European Union and co-funded by the European Social Fund. Melinda Katona was supported by the European Union and the State of Hungary, co-financed by the European Social Fund in the framework of T?MOP 4.2.4.A/2-11-1-2012-0001 ?National Excellence Program?. The authors would like to thank Dr. Attila Tan?cs for his detailed and helpful comments and suggestions. AB - 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. LA - English DB - MTMT ER -