The library will operate on a duty schedule between 22 December 2025 and 4 January 2026. During this period, it will be possible to upload publications, but all other services will be suspended.
Debreceni Egyetem. Informatikai Kar. Adattudomány és Vizualizáció Tanszék / University of Debrecen. Faculty of Informatics. Adattudomány és Vizualizáció Tanszék
Q2
Atomic and Molecular Physics, and Optics
(2024)
Q2
Biochemistry
(2024)
Q2
Electrical and Electronic Engineering
(2024)
Q2
Information Systems
(2024)
Q1
Instrumentation
(2024)
Q2
Medicine (miscellaneous)
(2024)
2.
Beregi-Kovács, M.,
Harangi, B.,
Hajdu, A.,
Gát, G.:
Generation of Synthetic Non-Homogeneous Fog by Discretized Radiative Transfer Equation.
J. Imaging. 11 (6), 1-22, (article identifier: 196), 2025.
Q1
Computer Graphics and Computer-Aided Design
(2024)
Q2
Computer Vision and Pattern Recognition
(2024)
Q2
Electrical and Electronic Engineering
(2024)
Q2
Radiology, Nuclear Medicine and Imaging
(2024)
3.
Al-Hamadani, M. N. A.,
Poroszlay, R.,
Szemán-Nagy, G.,
Hajdu, A.,
Hadjidemetriou, S.,
Ferrarini, L.,
Harangi, B.:
Improving Cell Detection and Tracking in Microscopy Images Using YOLO and an Enhanced DeepSORT Algorithm.
Sensors. 25/2025, 1-15, (article identifier: 4361), 2025.
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.
