Tudóstér: Harangi Balázs publikációi

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feltöltött közlemény: 64 Open Access: 10
2024
  1. Lakatos, R., Bogacsovics, G., Harangi, B., Lakatos, I., Tiba, A., Tóth, J., Szabó, M., Hajdu, A.: A Machine Learning-Based Pipeline for the Extraction of Insights from Customer Reviews.
    Big Data Cogn. Comput. 8 (3), 1-24, 2024.
    Folyóirat-mutatók:
    Q2 Artificial Intelligence (2022)
    Q2 Computer Science Applications (2022)
    Q2 Information Systems (2022)
    Q2 Management Information Systems (2022)
  2. Bogacsovics, G., Harangi, B., Beregi-Kovács, M., Kupás, D., Lakatos, R., Serbán, N., 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
2023
  1. Kovács, Á., Csernátony, Z., Csámer, L., Méhes, G., Szabó, D., Veres, M., Braun, M., Harangi, B., Serban, N., Zhang, L., Falk, G., Soósné Horváth, H., Manó, S.: Comparative Analysis of Bone Ingrowth in 3D-Printed Titanium Lattice Structures with Different Patterns.
    Materials. 16 (10), 1-16, 2023.
    Folyóirat-mutatók:
    Q2 Condensed Matter Physics (2022)
    Q2 Materials Science (miscellaneous) (2022)
  2. Harangi, B., Baran, Á., Beregi-Kovács, M., Hajdu, A.: Composing Diverse Ensembles of Convolutional Neural Networks by Penalization.
    Mathematics. 11 (23), 1-19, 2023.
    Folyóirat-mutatók:
    Q2 Computer Science (miscellaneous) (2022)
    Q2 Engineering (miscellaneous) (2022)
    Q2 Mathematics (miscellaneous) (2022)
  3. Pándy, Á., Harangi, B., Hajdu, A.: Extracting Drug Names from Medical Reports.
    In: IEEE 18th International Conference on Computer Science and Information Technologies (CSIT), IEEE, Piscataway, 1-4, 2023. ISBN: 9798350360462
  4. Bogacsovics, G., Harangi, B., Hajdu, A.: Increasing the diversity of ensemble members for accurate brain tumor classification.
    In: 36th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2023, Institute of Electrical and Electronics Engineers Inc., [s.l.], 529-534, 2023. ISBN: 9798350312249
  5. Serban, N., Harangi, B.: Localization-Enhanced Voting-based Ensemble of Semantic Segmentation Models for Cervical Polyp Segmentation.
    In: 36th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2023. Ed.: Sicilia R., Kane B., Almeida J.R, IEEE, Piscataway, 712-715, 2023. ISBN: 9798350312249
2022
  1. Kupás, D., Harangi, B.: Classification of Pap-smear cell images using deep convolutional neural network accelerated by hand-crafted features.
    In:
  2. 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, 2022.
    Folyóirat-mutatók:
    Q1 Biomedical Engineering
    Q1 Health Informatics
    Q1 Signal Processing
2021
  1. Bogacsovics, G., Hajdu, A., Harangi, B., Lakatos, I., Lakatos, R., Szabó, M., Tiba, A., Tóth, J., Tarcsi, Á.: Adatelemzési folyamat és keretrendszer a közigazgatás számára.
    Közigazgatástudomány. 1 (2), 146-158, 2021.
  2. Bogacsovics, G., Hajdu, A., Harangi, B.: Cell Segmentation in Digitized Pap Smear Images Using an Ensemble of Fully Convolutional Networks.
    In: 2021 IEEE Signal Processing in Medicine and Biology Symposium : Proceedings, IEEE, Philadelphia, 1-6, 2021. ISBN: 9781665428972
  3. Ahammed, A., Harangi, B., Hajdu, A.: Hybrid AdaBoost and Naïve Bayes classifier for supervised learning.
    In: Proceedings of the 1st Conference on Information Technology and Data Science. Ed.: István Fazekas, András Hajdu, Tibor Tómács, CEUR Workshop Proceedings, Debrecen, 1-18, 2021, (CEUR Workshop Proceedings, ISSN 1613-0073 ; 2874.)
  4. Lakatos, I., Hajdu, A., Harangi, B.: Molecule Classification Using Visualization and Convolutional Neural Network.
    In: IEEE 18th International Symposium on Biomedical Imaging (ISBI), IEEE, Piscataway, 1695-1698, 2021.
  5. Bogacsovics, G., Hajdu, A., Harangi, B., Lakatos, I., Lakatos, R., Szabó, M., Tiba, A., Tóth, J.: Napelemfarmok Magyarország területén történő elhelyezését segítő döntéstámogató rendszer fejlesztése.
    Közigazgatástudomány. 1 (2), 134-145, 2021.
  6. Kupás, D., Harangi, B.: Solving the problem of imbalanced dataset with synthetic image generation for cell classification using deep learning.
    In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society, IEEE, Piscataway, 2981-2984, 2021.
2020
  1. Harangi, B., Baran, Á., Hajdu, A.: Assisted deep learning framework for multi-class skin lesion classification considering a binary classification support.
    Biomed. Signal Process. Control. 62 1-7, 2020.
    Folyóirat-mutatók:
    Q2 Health Informatics
    Q2 Signal Processing
  2. Lőrincz, J., Harangi, B., Lampé, R., Török, P.: Az endoszkpia jövője, a jövő endoszkópiája: Szövetek és szervek differenciálása endoszkópia során konvolúciós neurális hálózat segítségével.
    MAGYAR NŐORVOSOK LAPJA 82 20-22, 2020.
  3. Porwal, P., Pachade, S., Kokare, M., Deshmukh, G., Son, J., Bae, W., Liu, L., Wang, J., Liu, X., Gao, L., Wu, T., Xiao, J., Wang, F., Yin, B., Wang, Y., Danala, G., He, L., Choi, Y., Lee, Y., Jung, S., Li, Z., Sui, X., Wu, J., Li, X., Zhou, T., Tóth, J., Baran, Á., Kori, A., Chennamsetty, S., Safwan, M., Alex, V., Lyu, X., Cheng, L., Chu, Q., Li, P., Ji, X., Zhang, S., Shen, Y., Dai, L., Saha, O., Sathish, R., Melo, T., Araújo, T., Harangi, B., Sheng, B., Fang, R., Sheet, D., Hajdu, A., Zheng, Y., Mendonça, A., Zhang, S., Campilho, A., Zheng, B., Shen, D., Giancardo, L., Quellec, G., Mériaudeau, F.: IDRiD: Diabetic Retinopathy: segmentation and grading challenge.
    Med. Image Anal. 59 1-26, 2020.
    Folyóirat-mutatók:
    D1 Computer Graphics and Computer-Aided Design
    D1 Computer Vision and Pattern Recognition
    D1 Health Informatics
    D1 Radiological and Ultrasound Technology
    D1 Radiology, Nuclear Medicine and Imaging
  4. Kovács, K., Kovács, A., Harangi, B., Lampé, R., Török, P.: Standardizált mérési technika a méh ultrahang-diagnosztikájában.
    Orv. hetil. 161 (48), 2029-2036, 2020.
    Folyóirat-mutatók:
    Q4 Medicine (miscellaneous)
2019
  1. Tóth, J., Kapusi, T., 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
  2. 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
  3. Lőrincz, J., Harangi, B., Lampé, R., Török, P.: Az endoszkópia jövője, a jövő endoszkópiája: szövetek és szervek differenciálása endoszkópia során konvolúciós neurális hálózat segítségével.
    Magy Noorv Lapja. 82 (1), 20-22, 2019.
  4. 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
  5. Hajdu, L., Harangi, B., Tiba, A., Hajdu, A.: Detecting Periodicity in Digital Images by the LLL Algorithm.
    In: Progress in Industrial Mathematics at ECMI 2018. Ed.: István Faragó, Ferenc Izsák, Péter L. Simon, Springer, Cham, 613-619, 2019, ( Mathematics in Industry ; 30.)( The European Consortium for Mathematics in Industry ; 30.) ISBN: 9783030275495
  6. Kupás, D., Török, P., Hajdu, A., Harangi, B.: Visualization of Fibroid in Laparoscopy Videos using Ultrasound Image Segmentation and Augmented Reality.
    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, 60-63, 2019. ISBN: 9781728131405
2018
  1. Török, P., Harangi, B.: Augmented reality applied in endoscopic surgeries.
    In: Abstracts of the 27th Annual Congress of the European. Ed.: ESGE, ESGE, Wien, 232, 2018.
  2. Harangi, B., Baran, Á., Hajdu, A.: Classification of skin lesions using an ensemble of deep neural networks.
    In: 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) / Gregg Suaning, Olaf Dossel, IEEE, Hawaii, USA, 2575-2578, 2018. ISBN: 9781538636466
  3. 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.
  4. 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.
    Folyóirat-mutatók:
    Q3 Computer Science (miscellaneous)
    Q4 Mathematics (miscellaneous)
  5. Török, P., Harangi, B.: Digital Image Analysis with Fully Connected Convolutional Neural Network to Facilitate Hysteroscopic Fibroid Resection.
    Gynecol. Obstet. Invest. 83 (6), 615-619, 2018.
    Folyóirat-mutatók:
    Q3 Obstetrics and Gynecology
    Q3 Reproductive Medicine
  6. 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
  7. Kovács, L., Hajdu, A., Harangi, B., Sós, A.: Hybrid Small Size hpcResource - HuSSaR [mintaotalom].
    [szabadalom]
  8. Burai, P., Hajdu, A., Felipe, -., Harangi, B.: Segmentation of the uterine wall by an ensemble of fully convolutional neural networks.
    In: 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) / Gregg Suaning, Olaf Dossel, IEEE, Hawaii, USA, 49-52, 2018. ISBN: 9781538636466
  9. Harangi, B.: Skin lesion classification with ensembles of deep convolutional neural networks.
    J. Biomed. Inform. 86 25-32, 2018.
    Folyóirat-mutatók:
    Q1 Computer Science Applications
    Q1 Health Informatics
2017
  1. Pap, M., Harangi, B., Hajdu, A.: Automatic Pigment Network Classification Using a Combination of Classical Texture Descriptors and CNN Features.
    In: Proceedings 2017 IEEE 30th International Symposium on Computer-Based Medical Systems CBMS 2017 / Panagiotis D. Bamidis, Stathis Th. Konstantinidis, Pedro Pereira Rodrigues, IEEE, Piscataway, 343-348, 2017, (ISSN 2372-9198) ISBN: 9781538617106
  2. 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.
  3. Török, P., Lampé, R., Harangi, B., Lőrincz, J.: Differentiating tissues and organs in endoscopic images using a convolutional neural network.
    Hum. Reprod. 32 (suppl.), 487, 2017.
  4. Harangi, B., Hajdu, A., Lampé, R., Török, P.: Differentiating ureter and arteries in the pelvic via endoscope using deep neural network.
    In: ISPA 2017 10th International Symposium on Image and Signal Processing and Analysis. Eds.: Stanislav Kovacic, Sven Loncaric, Matej Kristan, Vitomir Struc, Mladen Vucic, University of Zagreb, Zagreb, 86-89, 2017. ISBN: 9781509040117
  5. Török, P., Harangi, B.: Digital Image Analysis with Full Connected Convolutional Neural Network to Facilitate Complete Fibroid Resection.
    J. Mimim. Invasive Gynecol. 24 (7), 161, 2017.
  6. Tiba, A., Harangi, B., Hajdu, A.: Efficient Texture Regularity Estimation for Second Order Statistical Descriptors.
    In: Proceedings of the 10th International Image and Signal Processing and Analysis (ISPA). Ed.: Stanislav Kovačič, Sven Lončarić, Matej Kristan, Vitomir Štruc, Mladen Vučić, University of Zagreb, Zagreb, 90-94, 2017. ISBN: 9781509040117
  7. Hajdu, A., Harangi, B., Besenczi, R., Lázár, I., Emri, G., Hajdu, L., Tijdeman, R.: Measuring regularity of network patterns by grid approximations using the LLL algorithm.
    In: Proceedings of the 23rd International Conference on Pattern Recognition (ICPR 2016), Cancun, Mexico, 2016, IEEE, [Piscataway], 1524-1529, 2017. ISBN: 9781509048472
2015
  1. Tóth, J., Bartha, L., Szabó, T., Lázár, I., Harangi, B., Hajdu, A.: An online application for storing, analyzing, and sharing dermatological data.
    In: 6th IEEE Conference on Cognitive Infocommunications CogInfoCom 2015 : Proceedings, October 19-21, 2015, Széchenyi István University Győr, Hungary, IEEE, Danvers, 339-342, 2015. ISBN: 9781467381284
  2. Besenczi, R., Szitha, K., Harangi, B., Csutak, A., Hajdu, A.: Automatic optic disc and optic cup detection in retinal images acquired by mobile phone.
    In: ISPA 2015 : 9th International Symposium on Image and Signal Processing and Analysis. Eds.: S. Loncaric, D. Lerski, H. Eskola, R. Bregovic, University of Zagreb, Zagreb, 193-198, 2015, (ISSN 1845-5921) ISBN: 9781467380324
  3. Harangi, B., Hajdu, A.: Detection of the optic disc in fundus images by combining probability models.
    Comput. Biol. Med. 65 10-24, 2015.
    Folyóirat-mutatók:
    Q2 Computer Science Applications
    Q2 Health Informatics
2014
  1. Tóth, J., Kovács, L., Harangi, B., Kiss, C., Mohácsi, A., 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
  2. Tóth, J., Kovács, L., Harangi, B., Kiss, C., Mohácsi, A., 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
  3. Harangi, B., Hajdu, A.: Automatic exudate detection by fusing multiple active contours and regionwise classification.
    Comput. Biol. Med. 54 156-171, 2014.
    Folyóirat-mutatók:
    Q2 Computer Science Applications
    Q3 Health Informatics
  4. Harangi, B., Hajdu, A.: Detection of Exudates in Fundus Images Using a Markovian Segmentation Model.
    Conf Proc IEEE Eng Med Biol Soc. 36 130-133, 2014.
2013
  1. Harangi, B., Hajdu, A.: Aktív kontúr használatával és régió alapú osztályozással pontosított exudátum detektáló algoritmus.
    In: Képfeldolgozók és Alakfelismerők országos 9. konferenciája : KÉPAF Konferencia kiadvány. Szerk.: Czúni László, Képfeldolgozók és Alakfelismerők Társasága, Bakonybél, 379-392, 2013.
  2. Harangi, B., Hajdu, A.: Improving automatic exudate detection based on the fusion of the results of multiple active contours.
    Proc. IEEE Int. Symp. Biomed. Imaging. 1 45-48, 2013.
2012
  1. Harangi, B., Hajdu, A., Lázár, I.: Automatic Exudate Detection Using Active Contour Model and Regionwise Classification.
    Conf Proc IEEE Eng Med Biol Soc. 1 5951-5954, 2012.
  2. 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
  3. Qureshi, R., Kovács, L., Harangi, B., Nagy, B., Pető, T., Hajdu, A.: Combining algorithms for automatic detection of optic disc and macula in fundus images.
    Comput. vis. image underst. 116 (1), 138-145, 2012.
    Folyóirat-mutatók:
    Q1 Computer Vision and Pattern Recognition
    Q2 Signal Processing
    Q2 Software
  4. Harangi, B., Hajdu, A.: Improving the accuracy of optic disc detection by finding maximal weighted clique of multiple candidates of individual detectors.
    Proc. IEEE Int. Symp. Biomed. Imaging. 9 602-605, 2012.
  5. Harangi, B., Nagy, B., Hajdu, A.: Improving the detection of excessive activation of ciliaris muscle by clustering thermal images.
    In: Proceedings of the Conference of Quantitative InfraRed Thermography [elektronikus dokumentum]. Ed.: by Gennaro Cardone ISBN: 978890648441
2011
  1. Qureshi, R., Kovács, L., Nagy, B., Harangi, B., Hajdu, A.: Automatic detection of the fovea and optic disk in digital retinal images by combining algorithms.
    In: Proceedings of the 8th International Conference on Applied Informatics. Ed.: Attila Egri-Nagy, Emőd Kovács, Gergely Kovásznai, Gábor Kusper, Tibor Tómács, Eszterházy K. College, Eger, 175-184, 2011. ISBN: 9789639894723
  2. Harangi, B., Csordás, T., Hajdu, A.: Detecting the excessive activation of the ciliaris muscle on thermal images.
    In: Proceedings of 9th IEEE International Symposium on Applied Machine Intelligence and Informatics, University of Smolenice, Smolenice, 329-332, 2011. ISBN: 9781424474288
  3. Harangi, B., Csordás, T., Hajdu, A.: Detecting the excessive activation of the ciliaris muscle on thermal images.
    In: International Conference on Applied Informatics (8)(2010.01.27-2010.01.30)(Eger), Eszterházy K. College, Eger, 449-450, 2011. ISBN: 9789639894723
  4. 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.
  5. Kovács, L., Harangi, B., Nagy, B., Qureshi, R., Hajdu, A.: Gráf alapú vakfolt és sárgafolt detektálás retina felvételeken.
    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, 329-341, 2011.
2010
  1. Harangi, B., Qureshi, R., Csutak, A., Pető, T., Hajdu, A.: Automatic Detection Of The Optic Disc Using Majority Voting In A Collection Of Optic Disc Detectors.
    Proc. IEEE Int. Symp. Biomed. Imaging. 1329-1332, 2010.
  2. Hajdu, A., Qureshi, R., Pető, T., Nagy, B., Kovács, L., Harangi, B.: Detection of the optic disc and the macula through combining algorithms.
    Faculty of Informatics, Debrecen, 17 p., 2010.
  3. Kovács, L., Qureshi, R., Nagy, B., Harangi, B., Hajdu, A.: Graph Based Detection of Optic Disc and Fovea in Retinal Images.
    In: Proceedings of IEEE 4th International Workshop on Soft Computing Applications, Arad-Romania, IEEE 4th International Workshop on Soft Computing Applications, Arad-Romania, 143-148, 2010. ISBN: 9781424479856
2009
  1. Harangi, B., Csordás, T., Hajdu, A.: A ciliaris izom túlzott működésének vizsgálata szomatoinfrával készített képeken.
    In: Proceedings of the 7th Conference of the Hungarian Association for Image Processing and Pattern Recognition. January 28-30, 2009, Budapest, Hungary [elektronikus dokumentum], MTA SZTAKI, Budapest, 1-8, 2009.
feltöltött közlemény: 64 Open Access: 10
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