English (UK) 
Publikacje
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1. Daniel Wolf, Sebastian Regnery, Rafal Tarnawski, Barbara Bobek-Billewicz, Joanna Polanska, and Michael Götz: Weakly supervised learning with positive and unlabeled data for automatic brain tumor segmentation, Applied Sciences-Basel (Appl. Sci.), 2022, 12(21), 10763; https://doi.org/10.3390/app122110763 [Link]
2. Sebastian Seget, Ewa Rusak, Joanna Polanska, Przemysława Jarosz-Chobot: Prospective open-label single-arm, single-center follow-up study of the application of the Advanced Hybrid Closed Loop system in well-controlled children and adolescents with type 1 diabetes. Diabetes Technol Ther. 2022 Jul 19. 24(11):824-831, doi:10.1089/dia.2022.0148 [Link]
3. Grzegorz Mrukwa and Joanna Polanska: DiviK: Divisive intelligent K-means for hands-free unsupervised clustering in biological big data. BMC Bioinformatics, 2022, 23(1):538; doi: 10.1186/s12859-022-05093-z [Link]
4. Sebastian Seget, Przemysława Jarosz‐Chobot, Agnieszka Ochab, Joanna Polanska, Ewa Rusak, Paulina Witoszek, Agata Chobot: Body mass index, basal insulin and glycemic control in children with type 1 diabetes treated with the advanced hybrid closed loop system remain stable - 1-year prospective, observational, two-center study. Frontiers in Endocrinology (Lausanne), 2022, 13:1036808, doi: 10.3389/fendo.2022.1036808 [Link]
5. Aleksandra Suwalska, Yingzhe Wang, Ziyu Yuan, Yanfeng Jiang, Dongliang Zhu, Jinhua Chen, Mei Cui, Xingdong Chen, Chen Suo, Joanna Polanska (2022). CMB-HUNT: Automatic detection of cerebral microbleeds using a deep neural network. Computers in Biology and Medicine, 151, 106233. [Link]
6. Suwalska A, Zientek L, Polanska J, Marczyk M: Quantifying Spatial Heterogeneity of Tumor‐Infiltrating Lymphocytes to Predict Survival of Individual Cancer Patients. Journal of Personalized Medicine 2022, 12, 1113
7. Qing T, Karn T, Rozenblit M, Foldi J, Marczyk M, Shan NL, Blenman KRM, Holtrich U, Kalinsky K, Meric-Bernstam F, Pusztai L: Molecular differences between younger versus older ER-positive HER2- negative breast cancers. npj Breast Cancer 2022, 8, 119
8. Qing T, Mohsen H, Cannataro V, Marczyk M, Rozenblit M, Foldi J, Murray MF, Townsend JP, Kluger Y, Gerstein M, Pusztai L: Cancer relevance of human genes. Journal of the National Cancer Institute 2022, 114 (7), p.988-995
9. Marczyk M, Qing T, O’Meara T, Yagahoobi V, Pelekanou V, Bai Y, Reisenbichler E, Cole K, Li X, Gunasekharan V, Ibrahim E, Wei W, Fanucci K, W Wei, Rimm DL, Pusztai L, Blenman KRM: Tumor Immune Microenvironment of Self-Identified African American and Non-African American Triple Negative Breast Cancer. npj Breast Cancer 2022, 8, 88
10. Marczyk M, Mrukwa A, Yau C, Wolf D, Chen Y-Y, Balassanian R, Nanda R, Parker BA, Krings G, Sattar H, Zeck JC, Albain KS, Boughey JC, Liu MC, Elias AD, Clark AS, Venters SJ, Shad S, Basu A, Asare SM, Buxton M, Asare AL, Rugo HS, Perlmutter J, DeMichele AM, Yee D, Berry DA, van ’t Veer L, Symmans WF, Esserman L, Pusztai L: Treatment Efficacy Score - continuous residual cancer burden-based metric to compare neoadjuvant chemotherapy efficacy between randomized trial arms in breast cancer trials. Annals of Oncology 2022, 33 (8), p. 814-823
11. Marczyk M, Gunasekharan V, Casadevall D, Qing T, Foldi J, Sehgal R, Shan NL, Blenman KRM, O’Meara T, Umlauf S, Surovtseva YV, Muthusamy V, Rinehart J, Perry RJ, Kibbey R, Hatzis C, Pusztai L: Comprehensive analysis of metabolic isozyme targets in cancer. Cancer Research 2022, 82 (9), p. 1698–1711
12. Kujawa T, Marczyk M, Polanska J: Influence of single-cell RNA sequencing data integration on the performance of differentially gene expression analysis. Frontiers in Genetics 2022, 13:1009316
13. Blenman KRM, Marczyk M, Karn T, Qing T, Li X, Gunasekharan V, Yaghoobi V, Bai Y, Ibrahim EY, Park T, Silber A, Wolf DW, Reisenbichler E, Denkert C, Sinn BV, Rozenblit M, Foldi J, Rimm D, Loibl S, Pusztai L: Predictive markers of response to neoadjuvant durvalumab with nab-paclitaxel and dose dense doxorubicin/cyclophosphamide in basal-like triple negative breast cancer. Clinical Cancer Research 2022, 28 (12), p. 2587-2597.
14. Maruszewski, M., Wojarski, J., Karolak, W., Rogowski, J., Tobiasz, J., Polańska, J., & Żegleń, S. (2022). Early and midterm results of orthotopic heart transplantation in Poland (2015-2019). Transplantation Proceedings, 54, 1060–1064. https://doi.org/10.1016/j.transproceed.2022.03.008 [Link]
15. Sura GH, Tran K, Fu C, Du L, Marczyk M, Martinez Y, Tinnirello AA, Gould RE, Lau R, Symmans WF: Molecular Testing Opportunities on Cytology Effusion Specimens: The Pre-Analytic Effects of Various Body Fluid Cytology Preparation Methods on RNA Extraction Quality and Targeted Sequencing – Journal of the American Society of Cytopathology 2022, in press
16. Prazuch, W., Suwalska, A., Socha, M., Tobiasz, J., Foszner, P., Jaroszewicz, J., ... & Polanska, J. (2022). CIRCA: comprehensible online system in support of chest X-rays-based COVID-19 diagnosis. arXiv preprint arXiv:2210.05440 [Link]
17. Sieradzka K., O’Brien G., Polańska J., Badie C., White blood cells subpopulations recognition based on the single-cell RNA sequencing data, THE 20TH ASIA PACIFIC BIOINFORMATICS CONFERENCE 2022, p. 57.
18. Sieradzka K., Polańska J., Integrative approach for single-cell classification, Computational Oncology and Personalized Medicine 2022, THE CHALLENGES OF THE FUTURE, p. 42.
19. Suwalska, A., du Plessis-Burger, N., van der Spuy, G., Polanska, J. (2022). Comparison of Batch Effect Removal Methods for High Dimensional Mass Cytometry Data. In: Rojas, I., Valenzuela, O., Rojas, F., Herrera, L.J., Ortuño, F. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2022. Lecture Notes in Computer Science(), vol 13347. Springer, Cham.
20. M’Kacher, Radhia; Junker, Steffen; Colicchio, Bruno; Najar, Wala; Mika, Justyna; Dieterlen, Alain; Polanska, Joanna; Voisin, Philippe; Jeandidier, Eric; Carde, Patrice. P029: Are Reed-Sternberg cells stuck in mitosis by short nucleoplasmic bridges as a consequence of centromeric instability?. HemaSphere 6():p 14, October 2022. | DOI: 10.1097/01.HS9.0000890684.24599.13
21. Kalisz S., Marczyk M., Rib detection in X-ray images. Symposium of Polish Bioinformatics Society 2022. Book of abstracts, p. 79. 14-16.09.2022, Warsaw, Poland [Link]
22. Janas A, Marczyk M: Cell segmentation on HE-stained histopathological images of breast cancer samples. Book of Abstracts, p. 19. Computational Oncology and Personalized Medicine: The challenges of the future (COPM2022), April 27, 2022, Gliwice, Poland
23. Suwalska A, Socha M, Prazuch W, Tobiasz J, Polanska J, Marczyk M: nUMAP: How can we overcome the problem in the visualization in multi dataset comparative studies? Book of Abstracts, p. 18. Computational Oncology and Personalized Medicine: The challenges of the future (COPM2022), April 27, 2022, Gliwice, Poland [Link]
24. Kalisz S, Marczyk M: Image blur reduction in the denoising autoencoder model for rib suppression on x-ray images of the lungs. Book of Abstracts, p. 17. Computational Oncology and Personalized Medicine: The challenges of the future (COPM2022), April 27, 2022, Gliwice, Poland
25. Sliwinska W, Suwalska A, Marczyk M: Automatic identification of COVID-19 patients on lung X-Ray imaging with the use of deep learning techniques. Book of Abstracts, p. 16. Computational Oncology and Personalized Medicine: The challenges of the future (COPM2022), April 27, 2022, Gliwice, Poland [Link]
26. Foldi J, Marczyk M, Gunasekharan V, Qing T, Sehgal R, Shan NL, Muthusamy V, Umlauf S; Surovtseva YV, Kibbey R, Pusztai L: Targeting Acetyl-CoA carboxylase in pre-clinical breast cancer models. Cancer Research 2022, 82 (4_Supplement), P5-17-01. San Antonio Breast Cancer Symposium, San Antonio, TX, USA, December 7-10, 2021
27. O'Brien G., Cecotka A., Manola K. N., Pagoni M., Polańska J., Badie C.: Epigenetic signature of ionizing radiation in therapy-related AML patients, Radiation Research Society's 68th Annual Meeting, 16-19.10.2022, Waikoloa Villag, Hawaii, USA
28. O'Brien G., Cecotka A., Manola K. N., Pagoni M., Polańska J., Badie C.: Epigenetic signature of ionizing radiation in therapy-related AML patients, European Radiation Protection Week 2022 (ERPW-2022), 9-14.10.2022, Estoril, Portugal
29. Cecotka A., O'Brien G., Manola K, Pagoni M, Badie C, Polanska J. AURKC - epigenomic biomarker of AML, 20th Asia Pacific Bioinformatics Conference (APBC), 28-28.04.2022
30. Szumala K., Zyla J:Transcriptomic information captured in pathway activation scoring methods in single cell RNA-SEQ data analysis, Gliwice Scientific Meetings (GSN) 2022, 18-19.11.2022, Gliwice, Poland, p.144
31. Ochocki, M., Zyla, J.: Normalization of scRNA-Seq and its influence to dimensionality reduction visualisation. Symposium of Polish Bioinformatics Society 2022. Book of abstracts, p. 46. 14-16.09.2022, Warsaw, Poland
32. Tobiasz J., Papiez A., Polanska J., How to detect a batch effect in breast cancer gene expression microarray data? Symposium of Polish Bioinformatics Society 2022. Book of abstracts, p. 24. 14-16.09.2022, Warsaw, Poland [Link]
33. Glodek, A., Polanska, J. (2022).SVM classifier for isotopic envelopes identification. RECOMB 2022: The 26th Annual International Conference on Research in Computational Molecular Biology, La Jolla, USA, 26 – 30.05.2022
34. Glodek, A. (2022). Isotopic envelopes identification based on spatial distribution and SVM classification. European Molecular Imaging Meeting – EMIM 2022, Thessaloniki, Greece, 15-18.03.2022
35. Glodek, A. (2022). Fuzzy-inference system for isotopic envelope identification in Mass Spectrometry Imaging data. In: Rojas, I., Valenzuela, O., Rojas, F., Herrera, L.J., Ortuño, F. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2022. Lecture Notes in Computer Science, vol 13347. Springer, Cham.
36. J. Tobiasz, J. Mika, J. Frąckowiak, W. Łabaj, R. Quintens, M. A. Benotmane, S. Baatout, and J. Polańska, „Low-dose radiation impact on brain development in mice”, in Computational oncology and personalized medicine - the challenges of the future. COPM2022, Gliwice, April 27th, 2022. Book of abstracts. Conference programme, 2022, p. 47. [Link]
37. Tobiasz, J., Polanska, J. (2022). How to Compare Various Clustering Outcomes? Metrices to Investigate Breast Cancer Patient Subpopulations Based on Proteomic Profiles. In: Rojas, I., Valenzuela, O., Rojas, F., Herrera, L.J., Ortuño, F. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2022. Lecture Notes in Computer Science, vol 13347. Springer, Cham. https://doi.org/10.1007/978-3-031-07802-6_26 [Link]
38. Mika, J., Candéias, S.M., Badie, C., Polanska, J. (2022). Can We Detect T Cell Receptors from Long-Read RNA-Seq Data?. In: Rojas, I., Valenzuela, O., Rojas, F., Herrera, L.J., Ortuño, F. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2022. Lecture Notes in Computer Science(), vol 13347. Springer, Cham. https://doi.org/10.1007/978-3-031-07802-6_38
39. Radiomic-Based Lung Nodule Classification in Low-Dose Computed Tomography. In: Rojas, I., Valenzuela, O., Rojas, F., Herrera, L.J., Ortuño, F. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2022. Lecture Notes in Computer Science(), vol 13346. Springer, Cham [Link]
40. Justyna Mika, Gaussian mixture modelling of V gene diversity distribution reveals different levels of heterogeneity in human naive and memory CD4 T cells in a-bomb survivors, Ascona Workshop 2022, 27.03-01.04.2022, Ascona, Szwajcaria, p.13
41. Marek Socha, Michal Marczyk, Wojciech Prazuch, Joanna Tobiasz, Aleksandra Suwalska, Malgorzata Piotrowicz, Pawel Bozek, Marcin Maruszewski, Slawomir Zeglen, Joanna Polanska, "Methods of standardization of computed tomography images of lungs from various centers and platforms", European Molecular Imaging Meeting – EMIM 2022, 15-18 March 2022, Thessaloniki, p.415 [Link]
42. Aleksandra Suwalska and Joanna Polanska, "XAI techniques as an effective feature selection method for cancer tissue identification in MALDI-MSI data", European Molecular Imaging Meeting – EMIM 2022, 15-18 March 2022,Thessaloniki, p.403 [Link]
43. Katarzyna Fratczak,Marta Gawin, Mykola Chekan, Piotr Widłak, Monika Pietrowska, Joanna Polańska: Cancer molecular signature selection asa key step in building intelligent diagnostic systems – Pan-cancer MALDIMSI study. European Molecular Imaging Meeting – EMIM 2022, 15-18 March 2022,Thessaloniki, p.274 [Link]
44. Joanna Tobiasz, Joanna Polanska, Can proteome improve hidden breast cancer subtypes discovery with machine learning support?, Ascona Workshop 2022, Ascona, Switzerland, Abstract Book, p.33-34. [Link]
45. Prazuch W., Socha M., Suwalska A., Tobiasz J., Marczyk M., Polanska J.: Superresolution as a method of Machine Learning bias reduction in radiography – EMIM 2022, 15-18 March 2022, Thessaloniki, p.156 [Link]
46. Justyna Mika, Serge Candeias, Joanna Polanska, Is it worth to model age impact on functionality status of T cell receptor genes in subgroups of young and older donors separately?, BIOSTEC 2022, 09-11.02.2022, p.78
47. Joanna Zyla, Michal Marczyk, Joanna Polanska, W: Artificial intelligence and data processing. The monograph presenting the achievements of the Silesian University of Technology research staff / Kasprowski Paweł (red.), Monografia / Politechnika Śląska, 2022, vol. 954, Politechnika Śląska, s.377-385, ISBN 978-83-7880-859-6
48. Sieradzka K., Polańska J., Feature selection methods for classification purposes, Recent Advances in Computational Oncology and Personalized Medicine Volume 2: The challenges of the future, Publishing House of the Silesian University of Technology, pp. 169-189, 2022, ISBN: 978-83-7880-876-3.
49. Slowik, H., Zyla, J., Marczyk, M. (2022). Investigating Sources of Zeros in 10× Single-Cell RNAseq Data. In: Rojas, I., Valenzuela, O., Rojas, F., Herrera, L.J., Ortuño, F. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2022. Lecture Notes in Computer Science(), vol 13347. Springer, Cham. https://doi.org/10.1007/978-3-031-07802-6_6
50. Mrukwa, A., Marczyk, M., Zyla, J. (2022). Finding Significantly Enriched Cells in Single-Cell RNA Sequencing by Single-Sample Approaches. In: Rojas, I., Valenzuela, O., Rojas, F., Herrera, L.J., Ortuño, F. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2022. Lecture Notes in Computer Science(), vol 13347. Springer, Cham. https://doi.org/10.1007/978-3-031-07802-6_3