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Debreceni Egyetem. Informatikai Kar. Komputergrafika és Képfeldolgozás Tanszék / University of Debrecen. Faculty of Informatics. Department of Computer Graphics and Image Processing
Debreceni Egyetem. Informatikai Kar. Adattudomány és Vizualizáció Tanszék / University of Debrecen. Faculty of Informatics. Adattudomány és Vizualizáció Tanszék
Bogacsovics, G.,
Harangi, B.,
Beregi-Kovács, M.,
Kupás, D.,
Lakatos, R.,
Serbán, N. D.,
Tiba, A.,
Tóth, J.:
Assessing Conventional and Deep Learning-Based Approaches for Named Entity Recognition in Unstructured Hungarian Medical Reports.
In: 2024 IEEE 22nd World Symposium on Applied Machine Intelligence and Informatics (SAMI). Ed.: Kovács Levente, Liberios Vokorokos, IEEE, Piscataway, 77-82, 2024. ISBN: 9798350317206
Bogacsovics, G.,
Tóth, J.,
Hajdu, A.,
Harangi, B.:
Enhancing CNNs through the use of hand-crafted features in automated fundus image classification.
Biomed. Signal Process. Control. 76, 1-10, (article identifier: 103685), 2022.
Tóth, J.,
Kapusi, T. P.,
Harangi, B.,
Tomán, H.,
Hajdu, A.:
Accelerating the Optimization of a Segmentation Ensemble using Image Pyramids.
In: 11th International Symposium on Image and Signal Processing and Analysis (ISPA 2019). Eds.: S. Lončarić, R. Bregović, M. Carli, M. Subašić, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, USA, 43-48, 2019. ISBN: 9781728131405
Harangi, B.,
Tóth, J.,
Baran, Á.,
Hajdu, A.:
Automatic screening of fundus images using a combination of convolutional neural network and hand-crafted features.
In: 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Ed.: Riccardo Barbieri, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, USA, 2699-2702, 2019. ISBN: 9781538613122
Harangi, B.,
Tóth, J.,
Bogacsovics, G.,
Kupás, D.,
Kovács, L.,
Hajdu, A.:
Cell detection on digitized Pap smear images using ensemble of conventional image processing and deep learning techniques.
In: 11th International Symposium on Image and Signal Processing and Analysis (ISPA 2019). Eds.: S. Lončarić, R. Bregović, M. Carli, M. Subašić, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, USA, 38-42, 2019. ISBN: 9781728131405
Hajdu, A.,
Harangi, B.,
Tóth, J.,
Pap, M.,
Baran, Á.:
Combining Convolutional Neural Networks and Hand-Crafted Features in Medical Image Classification Tasks.
In: 20th European Conference on Mathematics for Industry : Book of Abstracts. Ed.: Bodó Á., Fekete I., Izsák F., Maros G., Simon L. P, Bolyai János Matematikai Társulat, Budapest, 299, 2018.
Harangi, B.,
Tóth, J.,
Hajdu, A.:
Fusion of deep convolutional neural networks for microaneurysm detection in color fundus images.
In: 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) / Gregg Suaning, Olaf Dossel, IEEE, Hawaii, USA, 3705-3708, 2018. ISBN: 9781538636466
Besenczi, R.,
Tóth, J.,
Hajdu, A.:
A review on automatic analysis techniques for color fundus photographs.
Comput. Struct. Biotechnol. J. 14, 371-384, 2016.
Tóth, J.,
Tomán, H.,
Hajdu, A.:
Improving the Performance of an Ensemble-Based Exudate Detection System using Stochastic Parameter Optimization.
In: 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Eds.: Sergio Cerutti, Paolo Bonato, Institute of Electrical and Electronics Engineers (IEEE), Seattle (WA), USA, 5243-5246, 2015.
Tóth, J.,
Kovács, L.,
Harangi, B.,
Kiss, C.,
Mohácsi, A. I.,
Orosz, Z.,
Hajdu, A.:
An Online Benchmark System for Image Processing Algorithms.
In: 5th IEEE International Conference on Cognitive Infocommunications. Ed.: Baranyi Péter, CogInfoCom, Vietri sul Mare, Italy, 377-385, 2014. ISBN: 9781479972807
Tóth, J.,
Kovács, L.,
Harangi, B.,
Kiss, C.,
Mohácsi, A. I.,
Orosz, Z.,
Hajdu, A.:
An Online System for Algorithm Benchmarking.
In: 5th IEEE International Conference on Cognitive Infocommunications. Ed.: Baranyi Péter, CogInfoCom, Vietri sul Mare, Italy, 383, 2014. ISBN: 9781479972807
Tóth, J.,
Szakács, L.,
Hajdu, A.:
Finding the optimal parameter setting for an ensemble-based lesion detector.
Proc. Int. Conf. Image Proc. 3532-3536, 2014.
Lámfalusi, C.,
Girus, D.,
Kruppa, K. T.,
Tóth, J.,
Hajduné Pocsai, E.,
Kunkli, R.,
Hajdu, A.,
Bálint, B. L.:
Adding a scalable visualization technique to the UCSC genome browser.
In: 4th IEEE International Conference on Cognitive Infocommunications CogInfoCom 2013 : Proceedings, December 2-5, 2013 Budapest, Hungary. Ed.: Péter Baranyi, IEEE, Danvers, 943-944, 2013. ISBN: 9781479915439
Ayoub, A.,
Hajdu, A.,
Nagy, Á.,
Szakács, J.,
Tóth, J.:
Automatikus pigmenthálózat-detektálás dermatoszkópos képeken.
In: Képfeldolgozók és Alakfelismerők 9. országos konferenciája. Szerk.: Czúni László, NJSZT-KÉPAF, Bakonybél, 439-449, 2013.
