Publikacje

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1. Szczepański Marek, Giemza Filip: Noise removal in the developing process of digital negatives, Sensors, Multidisciplinary Digital Publishing Institute, 20(3), 902, DOI:10.3390/s20030902

2. Smołka Bogdan, Kusnik Damian: On the application of the reachability distance in the suppression of mixed Gaussian and impulsive noise in color images, Multimedia Tools and Applications, Springer, vol. 79, 2020, s. 32857-32879, DOI:10.1007/s11042-020-09550-w

3. Radlak Krystian, Maliński Łukasz, Smołka Bogdan: Deep learning based switching filter for impulsive noise removal in color images, Sensors, Multidisciplinary Digital Publishing Institute, 2020, 20(10): 2782, DOI: 10.3390/s20102782

4. Maliński Łukasz, Smołka Bogdan: Self-tuning fast adaptive algorithm for impulsive noise suppression in color images, Journal of Real-Time Image Processing, vol. 17, nr 4, 2020, s. 1067-1087, DOI:10.1007/s11554-019-00853-2

5. Binias B., Myszor D., Palus H. and Cyran K., Prediction of Pilot’s Reaction Time Based on EEG Signals, Frontiers in Neuroinformatics, 14:6, Feb. 2020, doi: 10.3389/fninf.2020.00006

6. Janus P., Toma-Jonik A., Vydra N., Mrowiec K., Korfanty J., Chadalski M., Widłak P., Dudek K., Paszek A., Rusin M., Polańska J., Widłak W.: Pro-death signaling of cytoprotective Heat Shock Factor 1: up-regulation of NOXA leading to apoptosis in heat-sensitive cells. Cell Death and Differentiation, 2020, 27:2280–2292, doi: 10.1038/s41418-020-0501-8

7. Agata Chobot, Oliwia Janota, Katarzyna Bak-Drabik, Joanna Polanska, Wojciech Pluskiewicz: Bone status in adolescents and young adults with type 1 diabetes: a 10-year longitudinal study. Polish Journal of Endocrinology, 2020; 71(6):532-538, doi: 10.5603/EP.a2020.0080

8. Marczyk M, Patwardhan GA, Zhao J, Qu R, Li X, Wali VB, Gupta AK, Pillai MM, Kluger Y, Yan Q, Hatzis C, Pusztai L, Gunasekharan V: "Multi-Omics Investigation of Innate Navitoclax Resistance in Triple-Negative Breast Cancer Cells”. Cancers 2020, 12(9), 2551

9. Agata Kurczyk, Marta Gawin, Mykola Chekan, Agata Wilk, Krzysztof Łakomiec, Grzegorz Mrukwa, Katarzyna Frątczak, Joanna Polanska, Krzysztof Fujarewicz, Monika Pietrowska, Piotr Widlak: Classification of thyroid tumors based on mass spectrometry imaging of tissue microarrays; a single-pixel approach. International Journal of Molecular Sciences, 2020, 21(17):6289; doi: 10.3390/ijms21176289

10. O’Meara T, Marczyk M, Qing T, Yaghoobi V, Blenman K, Cole K, Pelekanou V, Rimm DL, Pusztai L: Immunological differences between immune-rich estrogen 1 receptor-positive and immune rich triple-negative breast cancers. JCO Precision Oncology 2020, 4, p.767-779

11. Lau R, Du L, Chen E, Fu C, Gould R, Marczyk M, Sinn BV, Layman R, Bedrosian I, Valero V, Symmans WF: Technical validity of a customized assay of sensitivity to endocrine therapy using sections from fixed breast cancer tissue. Clinical Chemistry 2020, 66(7), p. 934–945

12. Qing T, Mohsen H, Marczyk M, Ye Y, O'Meara T, Zhao H, Townsend J, Gerstein M, Hatzis C, Kluger Y, Pusztai L: "Germline variant burden in cancer genes correlates with age at diagnosis and somatic mutation burden". Nature Communications 2020, 11, p. 2438

13. Scheuermann Lisa, Pei Gang, Domaszewska Teresa, Zyla Joanna, Oberbeck-Müller Dagmar, Bandermann Silke, Feng Yonghong, Ruiz Moreno Juan Sebastian, Opitz Bastian, Mollenkopf Hans-Joachim, Kaufmann Stefan and Dorhoi Anca. Platelets Restrict the Oxidative Burst in Phagocytes and Facilitate Primary Progressive Tuberculosis, AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2020, 202(5):730-744, doi.org/10.1164/rccm.201910-2063OC

14. Abramowicz Agata, Łabaj Wojciech, Mika Justyna, Szołtysek Katarzyna, Ślęzak-Prochazka Izabella, Mielanczyk Łukasz, Story Michael D., Pietrowska Monika, Polański Andrzej and Widłak Piotr. MicroRNA Profile of Exosomes and Parental Cells is Differently Affected by Ionizing Radiation, 2020. Radiat Res. 2020 Aug 1;194(2):133-142.

15. Grainne O’Brien, Lourdes Cruz Garcia, Joanna Zyla, Natalie Brown, Rosemary Finnon, Joanna Polanska, Christophe Badie: Kras mutations and PU.1 promoter methylation are new pathways in radiation-induced AML, Carcinogenesis, 2020, 41(8):1104-1112, doi: 10.1093/carcin/bgz175

16. B. Frey, J. Mika, K. Jelonek, L. Cruz-Garcia, C. Roelants, I Testard, N. Cherradi, K. Lumniczky, S. Polozov, A. Napieralska, P. Widlak, U. Gaipl, C. Badie, J. Polanska, and S.M. Candéias: Systemic modulation of stress and immune parameters in patients treated for prostate adenocarcinoma by intensity modulated radiation therapy or stereotactic ablative body radiotherapy. Strahlentherapie und Onkologie, 2020, 196(11):1018-1033, doi: 10.1007/s00066-020-01637-5

17. Kimi Drobin, Michal Marczyk, Martin Halle, Daniel Danielsson, Anna Papiez, Traimate Sangsuwan, Annika Bendes, Mun-Gwan Hong, Ulrika Qundos, Mats Harm-Ringdahl, Peter Wersäll, Joanna Polanska, Jochen M. Schwenk and Siamak Haghdoost: Molecular profiling for predictors of radiosensitivity in patients with breast or head-and-neck cancer. Cancers, 2020, 12(3):753

18. Karol Jelonek, Aleksandra Krzywon, Patrycja Jablonska, Ewa M. Slominska, Ryszard T. Smolenski, Joanna Polanska, Tomasz Rutkowski, Jolanta Mrochem-Kwarciak, Krzysztof Skladowski and Piotr Widlak: Systemic Effects of Radiotherapy and Concurrent Chemo-Radiotherapy in Head and Neck Cancer Patients – Comparison of Serum Metabolome Profiles, Metabolites, 2020, 10(2):60; doi:10.3390/metabo10020060

19. Marczyk M, Jaksik R, Polanski A, Polanska J: GaMRed – adaptive filtering of high-throughput biological data. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2020, 17(1):149-157, doi: 10.1109/TCBB.2018.2858825

20. Aleksandra Suwalska, Yingzhe Wang, Ziyu Yuan, Yanfeng Jiang, Jinhua Chen, Mei Cui, Xingdong Chen, Chen Suo, Joanna Polanska, "Cerebral Microbleeds detection on MR images with hybrid neural network", Autumn Workshop PTBI 2020, November 24, 2020, book of abstracts, pp. 31-32 [Link]

21. G. Deja, A. Pyziak-Skupien, K. Fabin, J. Zarębska, J. Polanska, P. Jarosz-Chobot: Incidence rate of DT1 in Poland still increasing: New trend, 46th Annual Conference of the International Society for Pediatric and Adolescent Diabetes (ISPAD), October 15–17, 2020, Virtual, Pediatric Diabetes, 22(S29):27; EP005

22. Katarzyna Fratczak, Marta Gawin, Mykola Chekan, Piotr Widłak, Monka Pietrowska, Joanna Polanska: Inter-tissue and intra-tissue heterogenity - Pan-cancer MSI study. European Molecular Imaging Meeting – EMIM 2020, 24-27 August 2020, Gottingen, Germany [Link]

23. G. Deja, A. Pyziak-Skupien, K. Fabin, J. Zarębska, J. Polanska, P. Jarosz-Chobot: Incidence rate of DT1 in Poland still increasing: New trend, 46th Annual Conference of the International Society for Pediatric and Adolescent Diabetes (ISPAD), October 15–17, 2020, Virtual, Pediatric Diabetes, 22(S29):5EP003

24. Polanska J: “Gene set enrichment for reproducible science”. 24 Gliwickie Spotkania Naukowe, 21.11.2020

25. Polanska J: “Circa, internet system to support COVID-19 diagnostics.” Bioinformatics Fights Viruses, PTBi Seminar, 25.06.2020

26. Polańska J: Sztuczna inteligencja w czasach pandemii – Czy możemy pomóc? Warsztaty „Anty-Covid. Informatyka w zwalczaniu Covid-19” 22-23.06.2020

27. A. Cortez, A. Glodek, A. Krzywon, J. Polanska, K. M. Lisowska, Search for predictive biomarkers of sensitivity/resistance against cisplatin in high-grade serous ovarian cancer, xDigital Annual Meeting of the International Gynecologic Cancer Society (IGCS), 10-13.10.2020

28. Katarzyna Sieradzka, Joanna Polańska, Grainne O’Brien, Christophe Badie, "Logistic regression method in search of radiation responsive genes", XXIV Gliwice Scientific Meeting 2020, p.56

29. Mrukwa A., Zyla J.: THE IMPACT OF SOCIO-ECONOMIC STATE OF SOCIETY ON COVID-19 DEVELOPMENT, XXIV Gliwice Scientific Meeting 2020, p.57

30. Katarzyna Fratczak, Joanna Polanska: Similarity and repeatability of molecular signatures for Pan-cancer MALDI-MSI data. European Molecular Imaging Meeting – EMIM 2020, 24-28 August 2020, Virtual Edition

31. Marczyk M, Gunasekharan V, Zhao J, Qu R, Li X, Patwardhan GA, Wali VB, Gupta AK, Pillai MM, Kluger Y, Hatzis C, Pusztai L: Genomic, transcriptomic, and epigenetic profiling of triple-negative breast cancer cells after Navitoclax treatment. Cancer Research 2020, 80(16 Supplement), p. 633. Proceedings of the Annual Meeting of the American Association for Cancer Research, Philadelphia, USA, June 22-24, 2020

32. K. Leszczorz, W. Dudzik, J. Nalepa, J. Polanska. "Quantification of differences in brain tumor detection on multimodal MRI using deep neural network." European Congress of Radiology 2020, C-13994, doi: 10.26044/ecr2020/C-13994

33. Abu-Khalaf MM, Aderhold K, Marczyk M, Chung G, Hofstatter E, Sanft T, Silber A, DiGiovanna M, Zelterman D, Pusztai L, Hatzis C: Neoadjuvant aromatase inhibitor therapy plus the mTOR inhibitor everolimus in postmenopausal women with hormone receptor positive/HER2 negative breast cancer and an oncotype Dx recurrence score (≤25). Cancer Research 2020, 80(4 Supplement), P5-13-02. Proceedings of the San Antonio Breast Cancer Symposium, San Antonio, TX, USA, December 10-14, 2019

34. Blenman KRM, Li X, Marczyk M, O'Meara T, Yaghoobi V, Gunasekharan V, Park T, Rimm D, Pusztai L: Predictive markers of response to durvalumab concurrent with nab-paclitaxel and dose dense doxorubicin cyclophosphamide (ddAC) neoadjuvant therapy for triple negative breast cancer (TNBC). Cancer Research 2020, 80(4 Suppleement), P3-09-05. Proceedings of the San Antonio Breast Cancer Symposium, San Antonio, TX, USA, December 10-14, 2019

35. Żebrowska A., Gawin M., Marczak Ł., Sharma P., Mika Justyna, Polańska Joanna, Ferrone S., Kirkwood J., Widłak P., Whiteside T.: Metoda immunowychwytywania w ocenie molekularnego profilu subpopulacji egzosomów GSPG4+ uwalnianych przez komórki czerniaka, VII Śląskie Spotkania Naukowe, 29-30.05.2020, s.21-22

36. Kurczyk A., Gawin M., Chekan M., Wilk Agata, Łakomiec Krzysztof, Mrukwa Grzegorz, Pietrowska M., Polańska Joanna, Fujarewicz Krzysztof, Widłak Piotr: Porównanie i klasyfikacja różnych typów histologicznych raka tarczycy w oparciu o dane pochodzące z eksperymentów obrazowania molekularnego mikromacierzy tkankowych techniką MALDI-MSI, VII Śląskie Spotkania Naukowe, 29-30.05.2020, s.12-13

37. Jelonek K., Krzywoń A., Jabłońska P., Słomińska E. M., Smoleński R. T., Polańska Joanna, Rutkowski T., Mrochem-Kwarciak J., Składowski K., Widłak P.: Wykorzystanie profili metabolomicznych surowicy krwi w badaniu ogólnoustrojowego wpływu jednoczasowej chemio-radioterapii oraz samodzielnej radioterapii u pacjentów z nowotworami regionu głowy i szyi, 2020, VII Śląskie Spotkania Naukowe, 29-30.05.2020, Gliwice, s.20

38. Anna Glodek, Joanna Polańska, Zastosowanie teorii grafów do oceny interakcji microRNA-gen, Śląskie Spotkania Naukowe, 29.05.2020

39. Anna Papiez, Justyna Mika, Joanna Tobiasz, Joanna Zyla, Marcin Pochrzest, Urszula Augustyniak, Krzysztof Miczkowski, Maciej Papiez, Mateusz Rosiek, Monika Adamczyk-Sowa, Jerzy Jaroszewicz and Joanna Polanska: CORNELIA - System zbierania ankiet dotyczących zaburzeń poznawczych powiązanych z COVID-19, Anty-Covid: Informatyka w zwalczaniu Covid-19, June 22-23 2020 [Link]

40. Aleksandra Gruca, Małgorzata Bach, Paweł Foszner, Joanna Henzel, Mateusz Kania, Michał Kozielski, Justyna Mika, Anna Papież, Joanna Tobiasz, Aleksandra Werner, Joanna Zyla, Jerzy Jaroszewicz, Joanna Polańska, and Marek Sikora: DECODE - zastosowanie analizy statystycznej oraz metod maszynowego uczenia w celu opisu pacjentów chorych na COVID-19 oraz predykcji prawdopodobieństwa wystąpienia choroby COVID-19 na bazie prostych cech klinicznych. Anty-Covid: Informatyka w zwalczaniu Covid-19, June 22-23 2020 [Link]

41. Zebrowska A, Gawin M, Marczak L, Sharma P, Mika J, Polanska J, Ferrone S, Kirkwood J, Widlak P, Whiteside T, Pietrowska M, Metoda immunowychwytywania w ocenie molekularnego profilu subpopulacji egzosomów CSPG4+ uwalnianych przez komórki czeraniaka, VII Śląskie Spotkania Naukowe, 29-30.05.2020, Gliwice, pp. 21-22

42. Smołka Bogdan, Mendrela Monika: On the efficiency of inpainting methods for marine snow removal in underwater images, W: Advances in signal processing and artificial intelligence: Proceedings of the 2nd International Conference on Advances in Signal Processing and Artificial Intelligence. ASPAI' 2020, 18-20 November 2020 Berlin, Germany / Yurish S. Y. (red.), 2020, IFSA Publishing, ISBN 978-84-09-21931-5, s. 185-190

43. Palus Henryk, Frąckiewicz Mariusz: Deterministic vs. random initializations for k-means color image quantization, W: The 15th International Conference on Signal Image Technology & Internet Based Systems : SITIS 2019, 26-29 November 2019, Sorrento, Italy. Proceedings / Yetongnon K. [i in.] (red.), 2020, Institute of Electrical and Electronics Engineers, ISBN 978-1-7281-5687-3, s. 50-55, DOI:10.1109/SITIS.2019.00020

44. Zyla J., Leszczorz K., Polanska J. Robustness of Pathway Enrichment Analysis to Transcriptome-Wide Gene Expression Platform. In: Panuccio G., Rocha M., Fdez-Riverola F., Mohamad M., Casado-Vara R. (eds) Practical Applications of Computational Biology & Bioinformatics, 14th International Conference (PACBB 2020). PACBB 2020. Advances in Intelligent Systems and Computing, vol 1240, pp 176-185. Springer, Cham doi.org/10.1007/978-3-030-54568-0_18