Zobrazeno 1 - 10
of 363
pro vyhledávání: '"A, Mrukwa"'
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
Autor:
Dart, John K.G., Papa, Vincenzo, Rama, Paolo, Knutsson, Karl Anders, Ahmad, Saj, Hau, Scott, Sanchez, Sara, Franch, Antonella, Birattari, Federica, Leon, Pia, Fasolo, Adriano, Kominek, Ewa Mrukwa, Jadczyk-Sorek, Katarzyna, Carley, Fiona, Hossain, Parwez, Minassian, Darwin C.
Publikováno v:
In Ophthalmology March 2024 131(3):277-287
Publikováno v:
Reports, Vol 7, Iss 3, p 67 (2024)
Background and Objectives: There are many reports in the literature on the co-occurrence of somatic diseases and psychiatric disorders. Relatively few have addressed the co-occurrence of corneal cone with anxiety, depression, or personality disorders
Externí odkaz:
https://doaj.org/article/53ee29adf4974eb3944d0576d3b2fd67
Publikováno v:
Medicina, Vol 60, Iss 7, p 1057 (2024)
Background and Objectives: To compare the biometry of eyes obtained with two swept-source optical coherence tomography-based biometers—Argos (A), using an individual refractive index, and IOLMaster 700 (IM), using an equivalent refractive index—f
Externí odkaz:
https://doaj.org/article/a7cc9795597949bdbd647606eada591c
Autor:
Mrukwa, Grzegorz, Polanska, Joanna
Publikováno v:
BMC Bioinformatics 23, 538 (2022)
Investigating molecular heterogeneity provides insights about tumor origin and metabolomics. The increasing amount of data gathered makes manual analyses infeasible - therefore, automated unsupervised learning approaches are utilized for discovering
Externí odkaz:
http://arxiv.org/abs/2009.10706
Publikováno v:
Frontiers in Medicine, Vol 10 (2023)
PurposeMicro-invasive glaucoma surgery involves a group of treatment methods associated with a low rate of side effects and good effectiveness outcomes. One of the most frequently performed procedures belonging to this group is iStent microstent impl
Externí odkaz:
https://doaj.org/article/53539724a1ba47efaccee85689480152
Over the last few years, deep learning has proven to be a great solution to many problems, such as image or text classification. Recently, deep learning-based solutions have outperformed humans on selected benchmark datasets, yielding a promising fut
Externí odkaz:
http://arxiv.org/abs/1909.08959
Autor:
Nalepa, Jakub, Lorenzo, Pablo Ribalta, Marcinkiewicz, Michal, Bobek-Billewicz, Barbara, Wawrzyniak, Pawel, Walczak, Maksym, Kawulok, Michal, Dudzik, Wojciech, Mrukwa, Grzegorz, Ulrych, Pawel, Hayball, Michael P.
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) plays an important role in diagnosis and grading of brain tumor. Although manual DCE biomarker extraction algorithms boost the diagnostic yield of DCE-MRI by providing quantitative inform
Externí odkaz:
http://arxiv.org/abs/1907.08303
Autor:
Grzegorz Mrukwa, Joanna Polanska
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-24 (2022)
Abstract Background Investigating molecular heterogeneity provides insights into tumour origin and metabolomics. The increasing amount of data gathered makes manual analyses infeasible—therefore, automated unsupervised learning approaches are utili
Externí odkaz:
https://doaj.org/article/643b030c19624d7582effd8465c44530
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