Harangi Balázs

1.

Katona, T., Tóth, G., Petró, M., Harangi, B.: Advanced Multi-Label Image Classification Techniques Using Ensemble Methods.
Mach. Learn. Knowl. Extr. 6 (2), 1281-1297, 2024.

doi DEA WoS Scopus

Journal metrics:

Q2 Artificial Intelligence (2023)

Q1 Engineering (miscellaneous) (2023)

2.

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.

doi DEA WoS Scopus

Journal metrics:

Q2 Artificial Intelligence (2023)

Q2 Computer Science Applications (2023)

Q2 Information Systems (2023)

Q2 Management Information Systems (2023)

3.

Kupás, D., Hajdu, A., Kovács, I., Hargitai, Z., Szombathy, Z., Harangi, B.: Annotated Pap cell images and smear slices for cell classification.
Sci Data. 11 (1), 1-8, (article identifier: 743), 2024.

doi DEA WoS Scopus

Journal metrics:

D1 Computer Science Applications (2023)

D1 Education (2023)

D1 Information Systems (2023)

D1 Library and Information Sciences (2023)

D1 Statistics, Probability and Uncertainty (2023)

D1 Statistics and Probability (2023)

4.

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

doi DEA Scopus

5.

Bogacsovics, G., Harangi, B., Hajdu, A.: Developing diverse ensemble architectures for automatic brain tumor classification.
Multimed Tools Appl. 1-44, 2024.

DEA Scopus

Journal metrics:

Q2 Computer Networks and Communications (2023)

Q2 Hardware and Architecture (2023)

Q1 Media Technology (2023)

Q2 Software (2023)

6.

Katona, T., Tóth, G., Petró, M., Harangi, B.: Developing New Fully Connected Layers for Convolutional Neural Networks with Hyperparameter Optimization for Improved Multi-Label Image Classification.
Mathematics. 12 (6), 1-16, (article identifier: 806), 2024.

doi DEA WoS Scopus

Journal metrics:

Q2 Computer Science (miscellaneous) (2023)

Q2 Engineering (miscellaneous) (2023)

Q2 Mathematics (miscellaneous) (2023)

7.

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.

doi DEA WoS Scopus

Journal metrics:

Q1 Analytical Chemistry (2023)

Q1 Atomic and Molecular Physics, and Optics (2023)

Q2 Biochemistry (2023)

Q2 Electrical and Electronic Engineering (2023)

Q2 Information Systems (2023)

Q1 Instrumentation (2023)

Q2 Medicine (miscellaneous) (2023)

8.

Harangi, B., Bogacsovics, G., Tóth, J., Kovács, I., Bujdosóné Dani, E., Hajdu, A.: Pixel-wise segmentation of cells in digitized Pap smear images.
Sci Data. 11 (1), 1-8, (article identifier: 733), 2024.

doi DEA WoS Scopus

Journal metrics:

D1 Computer Science Applications (2023)

D1 Education (2023)

D1 Information Systems (2023)

D1 Library and Information Sciences (2023)

D1 Statistics, Probability and Uncertainty (2023)

D1 Statistics and Probability (2023)

9.

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.

doi DEA WoS Scopus

Journal metrics:

Q1 Analytical Chemistry (2023)

Q1 Atomic and Molecular Physics, and Optics (2023)

Q2 Biochemistry (2023)

Q2 Electrical and Electronic Engineering (2023)

Q2 Information Systems (2023)

Q1 Instrumentation (2023)

Q2 Medicine (miscellaneous) (2023)

10.

Kovács, Á. É., 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, (article identifier: 3861), 2023.

doi DEA WoS Scopus

Journal metrics:

Q2 Condensed Matter Physics

Q2 Materials Science (miscellaneous)

11.

Harangi, B., Baran, Á., Beregi-Kovács, M., Hajdu, A.: Composing Diverse Ensembles of Convolutional Neural Networks by Penalization.
Mathematics. 11 (23), 1-19, (article identifier: 4730), 2023.

doi DEA Scopus

Journal metrics:

Q2 Computer Science (miscellaneous)

Q2 Engineering (miscellaneous)

Q2 Mathematics (miscellaneous)

12.

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

DEA

13.

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

doi DEA WoS Scopus

14.

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

doi DEA WoS Scopus

15.

Kupás, D., Harangi, B.: Classification of Pap-smear cell images using deep convolutional neural network accelerated by hand-crafted features.
In:

doi DEA Scopus

16.

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.

doi DEA WoS Scopus

Journal metrics:

Q1 Biomedical Engineering

Q1 Health Informatics

Q1 Signal Processing

17.

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.

doi DEA

18.

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

doi DEA Scopus

19.

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.)

DEA Scopus

20.

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.

doi DEA Scopus

21.

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.

doi DEA

22.

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.

doi DEA Scopus

23.

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.

doi DEA WoS Scopus

Journal metrics:

Q2 Health Informatics

Q2 Signal Processing

24.

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.

DEA

25.

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. H., Lee, Y. C., Jung, S. H., Li, Z., Sui, X., Wu, J., Li, X., Zhou, T., Tóth, J., Baran, Á., Kori, A., Chennamsetty, S. 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. M., 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.

doi DEA WoS Scopus

Journal metrics:

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