Zobrazeno 1 - 10
of 426
pro vyhledávání: '"Polanska Joanna"'
In unforeseen situations, such as nuclear power plant's or civilian radiation accidents, there is a need for effective and computationally inexpensive methods to determine the expression level of a selected gene panel, allowing for rough dose estimat
Externí odkaz:
http://arxiv.org/abs/2406.14187
Publikováno v:
International Journal of Applied Mathematics and Computer Science, Vol 29, Iss 1, Pp 169-178 (2019)
The focus of this research is to combine statistical and machine learning tools in application to a high-throughput biological data set on ionizing radiation response. The analyzed data consist of two gene expression sets obtained in studies of radio
Externí odkaz:
https://doaj.org/article/c9cf20d4dc974c378fdc069ff6efd165
Autor:
Kulis, Karolina, Baatout, Sarah, Tabury, Kevin, Polanska, Joanna, Benotmane, Mohammed Abderrafi
A number of studies have indicated a potential association between prenatal exposure to radiation and late mental disabilities. This is believed to be due to long-term developmental changes and functional impairment of the central nervous system foll
Externí odkaz:
http://arxiv.org/abs/2404.18660
Autor:
Götz, Michael, Weber, Christian, Binczyk, Franciszek, Polanska, Joanna, Tarnawski, Rafal, Bobek-Billewicz, Barbara, Köthe, Ullrich, Kleesiek, Jens, Stieltjes, Bram, Maier-Hein, Klaus H.
Publikováno v:
IEEE Transactions on Medical Imaging ( Volume: 35, Issue: 1, January 2016)
We propose a new method that employs transfer learning techniques to effectively correct sampling selection errors introduced by sparse annotations during supervised learning for automated tumor segmentation. The practicality of current learning-base
Externí odkaz:
http://arxiv.org/abs/2403.07434
Autor:
Zyla, Joanna, Marczyk, Michal, Prazuch, Wojciech, Socha, Marek, Suwalska, Aleksandra, Durawa, Agata, Jelitto-Gorska, Malgorzata, Dziadziuszko, Katarzyna, Szurowska, Edyta, Rzyman, Witold, Widlak, Piotr, Polanska, Joanna
Due to its predominantly asymptomatic or mildly symptomatic progression, lung cancer is often diagnosed in advanced stages, resulting in poorer survival rates for patients. As with other cancers, early detection significantly improves the chances of
Externí odkaz:
http://arxiv.org/abs/2311.12810
Autor:
Prażuch, Wojciech, Socha, Marek, Mrukwa, Anna, Suwalska, Aleksandra, Durawa, Agata, Jelitto-Górska, Malgorzata, Dziadziuszko, Katarzyna, Szurowska, Edyta, Bożek, Pawel, Marczyk, Michal, Rzyman, Witold, Polanska, Joanna
Segmentation of the bronchovascular bundle within the lung parenchyma is a key step for the proper analysis and planning of many pulmonary diseases. It might also be considered the preprocessing step when the goal is to segment the nodules from the l
Externí odkaz:
http://arxiv.org/abs/2309.09410
One of the significant steps in the process leading to the identification of proteins is mass spectrometry, which allows for obtaining information about the structure of proteins. Removing isotope peaks from the mass spectrum is vital and it is done
Externí odkaz:
http://arxiv.org/abs/2302.06051
Autor:
Suwalska, Aleksandra, Tobiasz, Joanna, Prazuch, Wojciech, Socha, Marek, Foszner, Pawel, Piotrowski, Damian, Gruszczynska, Katarzyna, Sliwinska, Magdalena, Walecki, Jerzy, Popiela, Tadeusz, Przybylski, Grzegorz, Nowak, Mateusz, Fiedor, Piotr, Pawlowska, Malgorzata, Flisiak, Robert, Simon, Krzysztof, Zapolska, Gabriela, Gizycka, Barbara, Szurowska, Edyta, Group, POLCOVID Study, Marczyk, Michal, Cieszanowski, Andrzej, Polanska, Joanna
The outbreak of the SARS-CoV-2 pandemic has put healthcare systems worldwide to their limits, resulting in increased waiting time for diagnosis and required medical assistance. With chest radiographs (CXR) being one of the most common COVID-19 diagno
Externí odkaz:
http://arxiv.org/abs/2211.16359
Autor:
Prazuch, Wojciech, Suwalska, Aleksandra, Socha, Marek, Tobiasz, Joanna, Foszner, Pawel, Jaroszewicz, Jerzy, Gruszczynska, Katarzyna, Sliwinska, Magdalena, Walecki, Jerzy, Popiela, Tadeusz, Przybylski, Grzegorz, Cieszanowski, Andrzej, Nowak, Mateusz, Pawlowska, Malgorzata, Flisiak, Robert, Simon, Krzysztof, Zapolska, Gabriela, Gizycka, Barbara, Szurowska, Edyta, Group, POLCOVID Study, Marczyk, Michal, Polanska, Joanna
Due to the large accumulation of patients requiring hospitalization, the COVID-19 pandemic disease caused a high overload of health systems, even in developed countries. Deep learning techniques based on medical imaging data can help in the faster de
Externí odkaz:
http://arxiv.org/abs/2210.05440
Autor:
Henzel, Joanna, Tobiasz, Joanna, Kozielski, Michał, Bach, Małgorzata, Foszner, Paweł, Gruca, Aleksandra, Kania, Mateusz, Mika, Justyna, Papiez, Anna, Werner, Aleksandra, Zyla, Joanna, Jaroszewicz, Jerzy, Polanska, Joanna, Sikora, Marek
Distinguishing COVID-19 from other flu-like illnesses can be difficult due to ambiguous symptoms and still an initial experience of doctors. Whereas, it is crucial to filter out those sick patients who do not need to be tested for SARS-CoV-2 infectio
Externí odkaz:
http://arxiv.org/abs/2011.12247