E-mail: martin.tabakow@pwr.edu.pl

Unit: Faculty of Information and Communication Technology (N) » Departament of Artificial intelligence

ul. I. Łukasiewicza 3/5, 50-371 Wrocław
building B-4, room 4.14
phone +48 71 320 3670

---

Selected publications
1	Article 2024 Michał P Karol, Martin Tabakow, Urszula Markowska-Kaczmar, Łukasz Fuławka, Deep learning for cancer cell detection: do we need dedicated models?. Artificial Intelligence Review. 2024, vol. 57, art. 53, s. 1-36. ISSN: 0269-2821; 1573-7462 Resources:DOIURLSFX
2	Article 2023 Martin Tabakow, Krzysztof J Galus, Artur Zawisza, Adam Chłopowiec, Adrian Chłopowiec, Konrad Karanowski, Synthetic data generation for morphological analyses of histopathology images with deep learning models. Vietnam Journal of Computer Science. 2023, vol. 10, nr 3, s. 373-389. ISSN: 2196-8888; 2196-8896 Resources:DOIURLSFX
3	Article 2023 Adam Chłopowiec, Konrad Karanowski, Tomasz Skrzypczak, Mateusz Grzesiuk, Adrian Chłopowiec, Martin Tabakow, Counteracting data bias and class imbalance—towards a useful and reliable retinal disease recognition system. Diagnostics. 2023, vol. 13, nr 11, nr art. 1904, s. 1-16. ISSN: 2075-4418 Resources:DOIURLSFX
4	Article 2023 Martin Tabakow, Adrian Chłopowiec, Adam Chłopowiec, A novel classification method using the Takagi–Sugeno model and a type-2 fuzzy rule induction approach. Applied Sciences. 2023, vol. 13, nr 9, art. 5279, s. 1-17. ISSN: 2076-3417 Resources:DOIURLSFX
5	Proceeding paper 2022 Martin Tabakow, Konrad Karanowski, Adam Chłopowiec, Adrian Chłopowiec, Mikolaj Kasperek, Data augmentation for morphological analysis of histopathological images using deep learning. W: Computational Collective Intelligence : 14th International Conference, ICCCI 2022, Hammamet, Tunisia, September 28-30, 2022 : proceedings / eds. Ngoc Thanh Nguyen [i in.]. Cham : Springer, cop. 2022. s. 95-105. ISBN: 978-3-031-16013-4; 978-3-031-16014-1 Resources:DOIURLSFX
6	Article 2022 Łukasz Fuławka, Jakub Błaszczyk, Martin Tabakow, Agnieszka Hałoń, Assessment of Ki-67 proliferation index with deep learning in DCIS (ductal carcinoma in situ). Scientific Reports. 2022, vol. 12, art. 3166, s. 1-12. ISSN: 2045-2322 Resources:DOIURLSFX
7	Proceeding paper 2021 Artur Zawisza, Martin Tabakow, Konrad Karanowski, Krzysztof J Galus, Morphological analysis of histopathological images using deep learning. W: Advances in Computational Collective Intelligence : 13th International Conference, ICCCI 2021, Kallithea, Rhodes, Greece, September 29 - October 1, 2021 : proceedings / eds. Krystian Wojtkiewicz [i in.]. Cham : Springer, cop. 2021. s. 134-145. ISBN: 978-3-030-88112-2; 978-3-030-88113-9 Resources:DOISFX
8	Article 2021 Martin Tabakow, Adrian Chłopowiec, Adam Chłopowiec, Adam Dłubak, Classification with fuzzification optimization combining fuzzy information systems and type-2 fuzzy inference. Applied Sciences. 2021, vol. 11, nr 8, art. 3484, s. 1-18. ISSN: 2076-3417 Resources:DOISFX
9	Proceeding paper 2020 Martin Tabakow, Bartosz Jabłoński, A New Region Growing Medical Image Segmentation Algorithm Based on Interval Type-2 Fuzzy Sets. W: Web, Artificial Intelligence and Network Applications : proceedings of the Workshops of the 34th International Conference on Advanced Information Networking and Applications (WAINA-2020) / eds. Leonard Barolli [i in.]. Cham : Springer, cop. 2020. s. 1330-1340. ISBN: 978-3-030-44037-4; 978-3-030-44038-1 Resources:DOISFX
10	Article 2019 Martin Tabakow, Joel Quesada, A new reasoning approach combining information systems and interval type-2 fuzzy sets. Journal of Intelligent & Fuzzy Systems. 2019, vol. 37, nr 6, s. 7619-7630. ISSN: 1064-1246; 1875-8967 Resources:DOISFX

All publications