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

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Research interests:

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

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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

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Selected publications
1	Proceeding paper 2024 Łukasz Jeleń, Marek Karkula, Konrad 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 Resources:DOI
2	Proceeding paper 2024 Łukasz Jeleń, Konrad 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 Resources:DOI
3	Article 2024 Adam Radkowski, Konrad 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 Resources:DOIURL
4	Proceeding paper 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 Resources:DOIURLSFX
5	Article 2024 Łukasz Jeleń, Piotr Ciskowski, Konrad 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 Resources:DOIURLSFX
6	Article 2023 Adam Radkowski, Karol Wolski, Iwona Radkowska, Robert Burduk, Karen Khachatryan, Henryk Bujak, Łukasz Jeleń, Variance analysis of an experimental study of the effects of amino acids and Fe chelate on turfgrass. Journal of Elementology. 2023, vol. 28, nr 4, s. 1155-1174. ISSN: 1644-2296 Resources:DOISFX
7	Monograph chapter 2023 Łukasz Jeleń, Michał Jeleń, Computer-aided breast cancer classification framework for predictive, preventive, and personalized medicine. W: Predictive, preventive, and personalised medicine: from bench to bedside / eds. Halina Podbielska, Marko Kapalla. Cham : Springer, 2023. s. 177-197. ISBN: 978-3-031-34883-9; 978-3-031-34884-6 Resources:DOISFX
8	Proceeding paper 2023 Mateusz Surowiec, Piotr Ciskowski, Konrad Kluwak, Łukasz Jeleń, Deep learning ECG signal analysis: description and preliminary results. W: Dependable Computer Systems and Networks : proceedings of the Eighteenth International Conference on Dependability of Computer Systems DepCoS-RELCOMEX, July 3-7, 2023, Brunów, Poland / eds. Wojciech Zamojski [i in.]. Cham : Springer, cop. 2023. s. 309-318. ISBN: 978-3-031-37719-8; 978-3-031-37720-4 Resources:DOISFX
9	Article 2023 Adam Radkowski, Iwona Radkowska, Karol Wolski, Henryk Bujak, Łukasz Jeleń, The influence of the multi-component mineral-organic concentrate on the bonitation value of turfgrass. Agronomy (Basel). 2023, vol. 13, nr 3, art. 855, s. 1-12. ISSN: 2073-4395 Resources:DOIURLSFX
10	Proceeding paper 2022 Łukasz Jeleń, Marek Karkula, Dariusz Olearczuk, A computer vision-based approach for storage locations occupancy detection using deep learning. W: 10th Carpathian Logistics Congress - CLC 2022, Jun 15 - 17, 2022, Bojnice, Slovakia : conference proceedings. Ostrava : TANGER Ltd., cop. 2022. s. 73-79. ISBN: 978-80-88365-08-2 Resources:URL

All publications