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Faculty of Information and Communication Technology

Faculty of Information and Communication Technology

dr hab. inż. Andrzej Rusiecki

Email: andrzej.rusiecki@pwr.edu.pl
Structure: Faculty of Information and Communication Technology (N) » Department of Computer Engineering

ul. Z. Janiszewskiego 11/17, 50-372 Wrocław
building C-3, room 203
phone +48 71 320 3433

 

Research fields

  • Deep learning; artificial neural networks (theory and applications); image and video analysis and processing; biomedical applications of machine learning; learning algorithms; robust statistics.

Papers in DONA database


Selected publications
1
Artykuł
2026
Betelhem Wubineh Andrzej Rusiecki Krzysztof Halawa
Deep learning-based automatic segmentation and classification for cervical cancer detection using an improved U-Net and ensemble methods. Scientific Reports. 2026, s. 1-22. ISSN: 2045-2322
Zasoby:DOIURLImpact FactorLista FiladelfijskaLista MNiSWOpen Access
2
Artykuł
2026
Jakub Skwierczyński, Krzysztof Krupka, Andrzej Rusiecki Łukasz Jeleń
Spatiotemporal deep learning on dynamic infrared thermography for classification of post-COVID-19 and post-myocardial infarction patients. International Journal of Electronics and Telecommunications. 2026, vol. 72, nr 1, s. 1-9. ISSN: 2081-8491; 2300-1933
Zasoby:URLSFXImpact FactorLista FiladelfijskaLista MNiSWOpen Access
3
Referat konferencyjny
2025
Betelhem Wubineh Andrzej Rusiecki Krzysztof Halawa Eyerus Zewdu Wubineh,
Classification of brain tumor using MobileNet and CBAM-based deep learning approach from MRI images. W: 2025 International Conference on Information and Communication Technology for Development for Africa (ICT4DA), Bahir Dar, Ethiopia, November 21-23, 2025 / eds. Esubalew Alemneh, Ethiopia Nigussie, Fisseha Mekuria. Danvers, MA : IEEE, cop. 2025. s. 72-77. ISBN: 979-8-3315-9184-7; 979-8-3315-9185-4
Zasoby:DOIURL
4
Referat konferencyjny
2025
Cyprian Mataczyński Agnieszka Kazimierska Andrzej Rusiecki Magdalena Kasprowicz
Comparison of context-based imputation for missing intracranial pressure signal. W: 2025 47th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) : proceedings, Copenhagen, Denmark, 14-18 July 2025. [Danvers, MA] : IEEE, 2025. s. 1-7. ISBN: 979-8-3315-8618-8
Zasoby:DOIURLOpen Access
5
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:DOIURLSFXOpen Access
6
Referat konferencyjny
2025
Karolina Łęcka, Andrzej Rusiecki
Universal deepfake detection across various image generators based on data from diffusion models. W: Computational Science – ICCS 2025 Workshops : 25th International Conference, Singapore, Singapore, July 7-9, 2025 : Proceedings. Pt. 3 / eds. Maciej Paszynski, Amanda S. Barnard, Yongjie Jessica Zhang. Cham : Springer Nature Switzerland AG, cop. 2025. s. 97-110. ISBN: 978-3-031-97563-9; 978-3-031-97564-6
Zasoby:DOISFX
7
Artykuł
2025
Betelhem Wubineh Andrzej Rusiecki Krzysztof Halawa
SE-DeepLabV3+: cervical cell segmentation and classification using a novel SE-based DeepLabV3+ and ensemble method. IEEE Access. 2025, vol. 13, s. 116430-116441. ISSN: 2169-3536
Zasoby:DOIURLSFXImpact FactorLista FiladelfijskaLista MNiSWOpen Access
8
Referat konferencyjny
2025
Betelhem Wubineh Andrzej Rusiecki Krzysztof Halawa
ViT-SE_Res: a hybrid vision transformer and ResNet50V2 with squeeze-and-excitation block for cervical cell classification. W: Computational Science – ICCS 2025 Workshops : 25th International Conference, Singapore, Singapore, July 7-9, 2025 : Proceedings. Pt. 2 / eds. Maciej Paszynski, Amanda S. Barnard, Yongjie Jessica Zhang. Cham : Springer Nature Switzerland AG, cop. 2025. s. 11-23. ISBN: 978-3-031-97556-1; 978-3-031-97557-8
Zasoby:DOIURLSFX
9
Artykuł
2025
Betelhem Wubineh Andrzej Rusiecki Krzysztof Halawa
SPP-SegNet and SE-DenseNet201: a dual-model approach for cervical cell segmentation and classification. Cancers. 2025, vol. 17, nr 13, art. 2177, s. 1-13. ISSN: 2072-6694
Zasoby:DOIURLSFXImpact FactorLista FiladelfijskaLista MNiSWOpen Access
10
Artykuł
2025
Betelhem Wubineh Andrzej Rusiecki Krzysztof Halawa
A systematic review of effective data augmentation in cervical cancer detection. International Journal of Electronics and Telecommunications. 2025, vol. 71, nr 2, s. 369-377. ISSN: 2300-1933
Zasoby:DOIURLSFXImpact FactorLista FiladelfijskaLista MNiSWOpen Access
11
Referat konferencyjny
2025
Betelhem Wubineh Andrzej Rusiecki Krzysztof Halawa
Enhancing cervical cell classification with DenseNet201 and spatial attention mechanism. 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. 229-236. ISBN: 978-3-031-92733-1; 978-3-031-92734-8
Zasoby:DOIURLSFX

All employee publications

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