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
Serban, N.,
Kupás, D.,
Hajdu, A.,
Török, P.,
Harangi, B.:
Distinguishing the Uterine Artery, the Ureter, and Nerves in Laparoscopic Surgical Images Using Ensembles of Binary Semantic Segmentation Networks.
Sensors. 24 (9), 1-12, (article identifier: 2926), 2024.
Al-Hamadani, M. N. A.,
Fadhel, M. A.,
Alzubaidi, L.,
Harangi, B.:
Reinforcement Learning Algorithms and Applications in Healthcare and Robotics: A Comprehensive and Systematic Review.
Sensors. 24 (8), 1-42, (article identifier: 2461), 2024.
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
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
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
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.
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
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.)
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.
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.
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.
