Tudóstér: Antal Bálint publikációi

Katona, T., Antal, B.: Automated analysis of radiology images using Convolutional Neural Networks.
In: Proceedings of the 11th International Symposium on Image and Signal Processing and Analysis. Eds.: Lončarić S., Bregović R., Carli M., Subašić M, University of Zagreb, Dubrovnik, 89-92, 2019. ISBN: 9781728131405

Antal, B., Tavares, M., Kovács, L., Harangi, B., Lázár, I., Nagy, B., Kovács, G., Szakács, J., Tóth, J., Pető, T., Csutak, A., Hajdu, A.: Data analysis applied to diabetic retinopathy screening: performance evaluation.
Ann. Math. Inform. 49 3-9, 2018.

Antal, B., Tavares, M., Kovács, L., Harangi, B., Pető, T., Csutak, A., Hajdu, A.: Data Analysis Applied to Diabetic Retinopathy Screening: Performance Evaluation.
Eur. J. Ophthalmol. 27 (3), E124-E125, 2017.

Antal, B.: Automatic 3D Point Set Reconstruction from Stereo Laparoscopic Images using Deep Neural Networks.
In: PECCS 2016 : Proceedings of the 6th International Joint Conference on Pervasive and Embedded Computing and Communication Systems. Eds.: Andreas Ahrens, César Benavente-Peces, Scitepress, Setúbal, 116-121, 2016. ISBN: 9789897581953

Antal, B.: Classifier ensemble creation via false labelling.
Knowledge-Based Syst. 89 278-287, 2015.

Antal, B., Chessel, A., Carazo Salas, R.: Mineotaur: a tool for high-content microscopy screen sharing and visual analytics.
Genome Biol. 16 1-5, 2015.

Antal, B., Hajdu, A.: An ensemble-based system for automatic screening of diabetic retinopathy.
Knowledge-Based Syst. 60 20-27, 2014.

Antal, B., Lázár, I., Hajdu, A.: An adaptive weighting approach for ensemble-based detection of microaneurysms in color fundus images.
In: Képfeldolgozók és Alakfelismerők országos 9. konferenciája : KÉPAF Konferencia kiadvány. Szerk.: Czúni László, NJSZT-KÉPAF, Bakonybél, 393-403, 2013.

Antal, B., Remenyik, B., Hajdu, A.: An Unsupervised Ensemble-based Markov Random Field Approach to Microscope Cell Image Segmentation.
In: 10th International Conference on Signal Processing and Multimedia Applications. Ed.: Mohammad S. Obaidat, SciTePress, Reykjavik, Izland, 94-99, 2013.

Antal, B., Hajdu, A.: Improving microaneurysm detection in color fundus images by using context-aware approaches.
Comput. Med. Imaging Graph. 37 (5), 403-408, 2013.

Antal, B., Lázár, I., Hajdu, A.: An adaptive weighting approach for ensemble-based detection of microaneurysms in color fundus images.
Conf Proc IEEE Eng Med Biol Soc. 5955-5958, 2012.

Antal, B., Lázár, I., Hajdu, A.: An Ensemble Approach to Improve Microaneurysm Candidate Extraction.
In: e-Business and Telecommunications : 7th International Joint Conference, ICETE, Athens, Greece, July 26-28, 2010 : Revised Selected Papers. Eds.: Mohammad S. Obaidat, George A. Tsihrintzis, Joaquim Filipe, Springer Verlag, Heidelberg, 378-394, 2012, (Communications in Computer and Information Science, 1865-0929 ; Vol. 222.) ISBN: 9783642252051

Antal, B., Hajdu, A.: An Ensemble-Based System for Microaneurysm Detection and Diabetic Retinopathy Grading.
IEEE Trans. Biomed. Eng. 59 (6), 1720-1726, 2012.

Antal, B., Hajdu, A., Maros-Szabó, Z., Török, Z., Csutak, A., Pető, T.: A two-phase decision support framework for the automatic screening of digital fundus images.
J. Comput. Sci. 3 (5), 262-268, 2012.

Harangi, B., Antal, B., Hajdu, A.: Automatic exudate detection with improved Naïve-Bayes classifier.
In: Proceedings of the 25th IEEE International Symposium on Computer-Based Medical System [elektronikus dokumentum]. Ed.: Paolo Soda, Francesco Tortorella, Sameer Antani, Mykola Pechenizkiy, Mario Cannataro, Alexey Tsymbal, IEEE, Piscataway, NJ, 1-4, 2012. ISBN: 9781467320498

Antal, B., Hajdu, A.: Improving microaneurysm detection using an optimally selected subset of candidate extractors and preprocessing methods.
Pattern Recognit. 45 (1), 264-270, 2012.

Antal, B., Lázár, I., Hajdu, A.: Mikroaneurizma-detektálás összetett rendszerrel.
In: 8th Conference of the Hungarian Association for Image Processing and Pattern Recognition January 25-28, 2011 Szeged, Hungary : Proceedings of KÉPAF 2011. Szerk.: Zoltán Kató, Palágyi Kálmán, Erdőhelyi Balázs, Szegedi Egyetem, Szeged, 155-162, 2012.

Antal, B., Hajdu, A.: An ensemble-based microaneurysm detector for retinal images.
Proc. Int. Conf. Image Proc. 2011 1621-1624, 2011.

Antal, B., Hajdu, A.: A stochastic approach to improve macula detection in retinal images.
Acta Cybern. 20 (1), 5-15, 2011.

Csutak, A., Antal, B., Lázár, I., Pető, T., Török, Z., Biró, A., Hajdu, A.: Diabetic retinopathy screening with computational support.
Acta Ophthalmol. 89 357, 2011.

Nagy, B., Harangi, B., Antal, B., Hajdu, A.: Ensemble-based exudate detection in color fundus images.
Proc. Int. Symp. Image. Signal. Process. Anal. 700-703, 2011.

Antal, B., Lázár, I., Hajdu, A., Török, Z., Csutak, A., Pető, T.: Evaluation of the grading performance of an ensemble-based microaneurysm detector.
Conf Proc IEEE Eng Med Biol Soc. 2011 5943-5946, 2011.

Antal, B., Lázár, I., Hajdu, A.: Novel approaches to improve microaneurysm detection in retinal images.
In: Proceedings of The 8th International Conference on Applied Informatics : Eger, Hungary, January 27 - 30, 2010. Ed.: Attila Egri-Nagy [et al.], [Eszterházy Károly Főiskola], [Eger], 117-124, [2011].

Antal, B., Lázár, I., Hajdu, A., Török, Z., Csutak, A., Pető, T.: A multi-level ensemble-based system for detecting microaneurysms in fundus images.
In: Soft Computing Applications (SOFA), 2010 4th International Workshop on, [s.n.], Arad, Románia, 137-142, 2010. ISBN: 9781424479856

Antal, B., Lázár, I., Hajdu, A.: An optimal voting scheme for microaneurysm candidate extractors using simulated annealing.
In: 5th International Conference on Signal Processing and Multimedia Applications : SIGMAP 2010, IEEE, Athén, 80-87, 2010.

Antal, B., Hajdu, A., Csutak, A., Pető, T.: A two-phase pre-filtering approach to the automatic screening of digital fundus images.
In: 5th International Conference on Signal Processing and Multimedia Applications : SIGMAP 2010, [s.n.], Athén, Görögország, 155-158, 2010.

Antal, B., Hajdu, A.: Improving microaneurysm detection in color fundus images by using an optimal combination of preprocessing methods and candidate extractors.
In: 18th European Signal Processing Conference, [s.n.], Aalborg, Dánia, 1224-1228, 2010.

Antal, B., Hajdu, A.: A prefiltering approach for an automatic screening system.
In: IEEE 6th International Symposium on Intelligent Signal Processing (WISP2009), 26-28 August 2009, Budapest, Hungary, IEEE, Piscataway, N.J, 265-268, 2009.