Tóth János

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.

doi DEA WoS Scopus

Journal metrics:

Q2 Artificial Intelligence (2023)

Q2 Computer Science Applications (2023)

Q2 Management Information Systems (2023)

Q2 Information Systems (2023)

2.

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

3.

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 Education (2023)

D1 Computer Science Applications (2023)

D1 Information Systems (2023)

D1 Library and Information Sciences (2023)

D1 Statistics and Probability (2023)

D1 Statistics, Probability and Uncertainty (2023)

4.

Tóth, J., Tomán, H., Hajdu, G., Hajdu, A.: Using Noisy Evaluation to Accelerate Parameter Optimization of Medical Image Segmentation Ensembles.
Mathematics. 11 (18), 1-17, (article identifier: 3992), 2023.

doi DEA WoS Scopus

Journal metrics:

Q2 Computer Science (miscellaneous)

Q2 Engineering (miscellaneous)

Q2 Mathematics (miscellaneous)

5.

Huang, X., Zhou, S., Tóth, J., Hajdu, A.: Cuproptosis-related gene index: a predictor for pancreatic cancer prognosis, immunotherapy efficacy, and chemosensitivity.
Front. Immunol. 13, 1-31, 2022.

doi DEA WoS Scopus

Journal metrics:

Q1 Immunology

Q1 Immunology and Allergy

6.

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.

doi DEA WoS Scopus

Journal metrics:

Q1 Biomedical Engineering

Q1 Health Informatics

Q1 Signal Processing

7.

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

8.

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

9.

Tóth, J., Tomán, H., Hajdu, A.: Efficient sampling-based energy function evaluation for ensemble optimization using simulated annealing.
Pattern Recognit. 107, 1-12, 2020.

doi DEA WoS Scopus

Journal metrics:

D1 Artificial Intelligence

D1 Computer Vision and Pattern Recognition

D1 Signal Processing

D1 Software

10.

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

11.

Tóth, J., Kapusi, T. P., 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

doi DEA

12.

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

doi DEA

13.

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

doi DEA

14.

Tóth, J., Tornai, R., Labancz, I., Hajdu, A.: Efficient Visualization for an Ensemble-based System.
Acta Polytech. Hung. 16 (2), 59-75, 2019.

doi DEA WoS Scopus

Journal metrics:

Q2 Engineering (miscellaneous)

Q2 Multidisciplinary

15.

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.

DEA

16.

Antal, B., Tavares, M. K. G. S., 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.

doi DEA WoS Scopus

Journal metrics:

Q3 Computer Science (miscellaneous)

Q4 Mathematics (miscellaneous)

17.

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

doi DEA

18.

Besenczi, R., Tóth, J., Hajdu, A.: A review on automatic analysis techniques for color fundus photographs.
Comput. Struct. Biotechnol. J. 14, 371-384, 2016.

doi DEA WoS Scopus

Journal metrics:

Q2 Biochemistry

Q1 Biophysics

Q1 Biotechnology

Q1 Computer Science Applications

Q2 Genetics

Q2 Structural Biology

19.

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

doi DEA

20.

Tóth, J., Tomán, H., Hajdu, A.: Improving the Performance of an Ensemble-Based Exudate Detection System using Stochastic Parameter Optimization.
In: 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Eds.: Sergio Cerutti, Paolo Bonato, Institute of Electrical and Electronics Engineers (IEEE), Seattle (WA), USA, 5243-5246, 2015.

doi DEA

21.

Tóth, J., Kovács, L., Harangi, B., Kiss, C., Mohácsi, A. I., 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

doi DEA

22.

Tóth, J., Kovács, L., Harangi, B., Kiss, C., Mohácsi, A. I., 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

doi DEA

23.

Tóth, J., Szakács, L., Hajdu, A.: Finding the optimal parameter setting for an ensemble-based lesion detector.
Proc. Int. Conf. Image Proc. 3532-3536, 2014.

DEA

24.

Lámfalusi, C., Girus, D., Kruppa, K. T., Tóth, J., Hajduné Pocsai, E., Kunkli, R., Hajdu, A., Bálint, B. L.: Adding a scalable visualization technique to the UCSC genome browser.
In: 4th IEEE International Conference on Cognitive Infocommunications CogInfoCom 2013 : Proceedings, December 2-5, 2013 Budapest, Hungary. Ed.: Péter Baranyi, IEEE, Danvers, 943-944, 2013. ISBN: 9781479915439

DEA

25.

Ayoub, A., Hajdu, A., Nagy, Á., Szakács, J., Tóth, J.: Automatikus pigmenthálózat-detektálás dermatoszkópos képeken.
In: Képfeldolgozók és Alakfelismerők 9. országos konferenciája. Szerk.: Czúni László, NJSZT-KÉPAF, Bakonybél, 439-449, 2013.

DEA

Publication list