E-mail: lukasz.jelen@pwr.edu.pl

Unit: Faculty of Information and Communication Technology (N) » Department of Computer Engineering

ul. Z. Janiszewskiego 11/17, Wrocław, Poland
C-3 building, office: 230
tel. 71 320 4226

---

Research interests:

• Computer Vision, Pattern Recognition, Computer Aided Diagnosis, Biomedical Image Processing

---

Recent papers:

2020

Łukasz Jeleń Texture Description for Classification of Fine Needle Aspirates. In: Korbicz J., Maniewski R., Patan K., Kowal M. (eds) Current Trends in Biomedical Engineering and Bioimages Analysis. PCBEE 2019. Advances in Intelligent Systems and Computing, vol 1033. Springer, Cham. https://doi.org/10.1007/978-3-030-29885-2_10

Adrian Banachowicz, Anna Lis-Nawara, Michał Jeleń, Łukasz Jeleń
Convolutional Neural Networks for Dot Counting in Fluorescence in Situ Hybridization Imaging. In: Zamojski W., Mazurkiewicz J., Sugier J., Walkowiak T., Kacprzyk J. (eds) Theory and Applications of Dependable Computer Systems. DepCoS-RELCOMEX 2020. Advances in Intelligent Systems and Computing, vol 1173. Springer, Cham. https://doi.org/10.1007/978-3-030-48256-5_309

2018

Łukasz Jeleń, Michał Kulus, Tomasz Jurek
Pattern Recognition Framework for Histological Slide Segmentation. In: Saeed K., Homenda W. (eds) Computer Information Systems and Industrial Management. CISIM 2018. Lecture Notes in Computer Science, vol 11127. Springer, Cham. https://doi.org/10.1007/978-3-319-99954-8_4

2017

Muneera Alsaedi, Thomas Fevens, Adam Krzyżak, Łukasz Jeleń
Cytological malignancy grading system for fine needle aspiration biopsies of breast cancer. In: 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2017) : proceedings, Kansas City, MO, USA, Nov 13-16, 2017 / eds. Xiaohua Hu [i in.]. Danvers, MA : IEEE, cop. 2017. s. 705-709

2016

Bartosz Krawczyk, Mikel Galar, Łukasz Jeleń, Francisco Herrera
Evolutionary undersampling boosting for imbalanced classification of breast cancer malignancy. Applied Soft Computing. 2016, vol. 38, s. 714-726.

Łukasz Jeleń, Adam Krzyżak, Thomas Fevens, Michał Jeleń
Influence of feature set reduction on breast cancer malignancy classification of fine needle aspiration biopsies. Computers in Biology and Medicine. 2016, vol. 79, s. 80-91.

 

Full publication list

---

Selected publications
1	Referat konferencyjny 2025 Wojciech Dąbrowicki, Andrzej Rusiecki, Łukasz Jeleń, Med-Agent: a hybrid AI agent for multimodal cancer diagnosis. W: 29th International Conference on Knowledge Based and Intelligent information and Engineering Systems (KES 2025) / ed. Jonathan Flearmoy. Amsterdam : Elsevier, cop. 2025. s. 3290-3299. Zasoby:DOIURLSFX
2	Artykuł 2025 Jacek Krakowian, Łukasz Jeleń, Deep learning in motion analysis for false start detection in speedway racing. International Journal of Electronics and Telecommunications. 2025, vol. 71, nr, 3, s. 1-8. ISSN: 2081-8491; 2300-1933 Zasoby:DOIURLSFX
3	Referat konferencyjny 2025 Łukasz Jeleń, Krzysztof Krupka, Andrzej Rusiecki, Dynamic infrared thermography and machine learning for advanced diagnostic applications in biomedical imaging. W: Advances in Dependable Systems and Networks : Proceedings of the Twentieth International Conference on Dependability of Computer Systems DepCoS-RELCOMEX, June 30 – July 3, 2025, Brunów, Poland / eds. Wojciech Zamojski [i in.]. Cham : Springer Nature Switzerland AG, cop. 2025. s. 75-84. ISBN: 978-3-031-92733-1; 978-3-031-92734-8 Zasoby:DOIURLSFX
4	Referat konferencyjny 2025 Betelhem Wubineh, Łukasz Jeleń, Andrzej Rusiecki, DCGAN-based cytology image augmentation for cervical cancer cell classification using transfer learning. W: CENTERIS - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist - International Conference on Health and Social Care Information Systems and Technologies 2024, November 13-15, Funchal, Portugal / eds. Ricardo Martinho, Maria Manuela Cruz Cunha, Rui Rijo. Amsterdam : Elsevier, cop. 2025. s. 1003-1011. Zasoby:DOIURLSFX
5	Artykuł 2025 Łukasz Jeleń, Izabela Stankiewicz-Antosz, María C Chosia, Michał Jeleń, Optimizing cervical cancer diagnosis with feature selection and deep learning. Applied Sciences. 2025, vol. 15, nr 3, art. 1458, s. 1-21. ISSN: 2076-3417 Zasoby:DOIURLSFX
6	Artykuł 2025 Łukasz Jeleń, Izabela Stankiewicz-Antosz, María C Chosia, Michał Jeleń, Stochastic feature selection and machine learning for optimized cervical cancer classification. International Journal of Applied Mathematics and Computer Science. 2025, vol. 35, nr 4, s. 601–615. ISSN: 1641-876X; 2083-8492 Zasoby:DOIURLSFX
7	Referat konferencyjny 2024 Łukasz Jeleń, Marek Karkula, Konrad J Kluwak, Dariusz Olearczuk, Visual warehouse management based on YOLO deep learning for forklift operations. W: 11th Carpathian Logistics Congress - CLC 2023, November 8-10, 2023, Prague, Czech Republic : conference proceedings. Ostrava : TANGER Ltd., cop. 2024. s. 142-148. ISBN: 978-80-88365-17-4 Zasoby:DOI
8	Referat konferencyjny 2024 Łukasz Jeleń, Konrad J Kluwak, Piotr Ciskowski, Marcin Tarasiuk, Dariusz Olearczuk, Andrzej Rusiecki, Machine learning-enhanced turfgrass logistics through remote sensing. W: 11th Carpathian Logistics Congress - CLC 2023, November 8-10, 2023, Prague, Czech Republic : conference proceedings. Ostrava : TANGER Ltd., cop. 2024. s. 155-160. ISBN: 978-80-88365-17-4 Zasoby:DOI
9	Artykuł 2024 Adam Radkowski, Konrad J Kluwak, Andrzej Rusiecki, Piotr Ciskowski, Łukasz Jeleń, Paweł Więcek, Wykorzystanie teledetekcji i uczenia maszynowego do oceny stanu terenów zielonych. Przegląd Budowlany. 2024, nr 5, s. 187-191. ISSN: 0033-2038 Zasoby:DOIURL
10	Referat konferencyjny 2024 Jacek Krakowian, Łukasz Jeleń, Preliminary study on the detection of subtle variations in image sequences for identifying false starts in speedway racing. W: System Dependability - Theory and Applications : Proceedings of the Nineteenth International Conference on Dependability of Computer Systems DepCoS-RELCOMEX, July 1-5, 2024, Brunów, Poland / eds. Wojciech Zamojski [i in.]. Cham : Springer, cop. 2024. s. 111-120. ISBN: 978-3-031-61856-7; 978-3-031-61857-4 Zasoby:DOIURLSFX
11	Artykuł 2024 Łukasz Jeleń, Piotr Ciskowski, Konrad J Kluwak, Deep learning in the classification and recognition of cardiac activity patterns. International Journal of Electronics and Telecommunications. 2024, vol. 70, nr 1, s. 79-85. ISSN: 2081-8491; 2300-1933 Zasoby:DOIURLSFX

All publications