Zobrazeno 1 - 10
of 3 759
pro vyhledávání: '"SZCZEPANKIEWICZ, A"'
Water diffusion gives rise to micrometer-scale sensitivity of diffusion MRI (dMRI) to cellular-level tissue structure. The advent of precision medicine and quantitative imaging hinges on revealing the information content of dMRI, and providing its pa
Externí odkaz:
http://arxiv.org/abs/2409.03010
Autor:
Coelho, Santiago, Liao, Ying, Szczepankiewicz, Filip, Veraart, Jelle, Chung, Sohae, Lui, Yvonne W., Novikov, Dmitry S., Fieremans, Els
Joint modeling of diffusion and relaxation has seen growing interest due to its potential to provide complementary information about tissue microstructure. For brain white matter, we designed an optimal diffusion-relaxometry MRI protocol that samples
Externí odkaz:
http://arxiv.org/abs/2402.17175
Diffusion MRI is sensitive to a wide range of features of the microstructure including diffusivity, exchange and three sources of diffusional kurtosis: isotropic, anisotropic, and microscopic. Correlation tensor imaging (CTI) uses double diffusion en
Externí odkaz:
http://arxiv.org/abs/2306.03661
Autor:
Ligneul, Clémence, Najac, Chloé, Döring, André, Beaulieu, Christian, Branzoli, Francesca, Clarke, William T, Cudalbu, Cristina, Genovese, Guglielmo, Jbabdi, Saad, Jelescu, Ileana, Karampinos, Dimitrios, Kreis, Roland, Lundell, Henrik, Marjańska, Małgorzata, Möller, Harald E., Mosso, Jessie, Mougel, Eloïse, Posse, Stefan, Ruschke, Stefan, Simsek, Kadir, Szczepankiewicz, Filip, Tal, Assaf, Tax, Chantal, Oeltzschner, Georg, Palombo, Marco, Ronen, Itamar, Valette, Julien
Brain cell structure and function reflect neurodevelopment, plasticity and ageing, and changes can help flag pathological processes such as neurodegeneration and neuroinflammation. Accurate and quantitative methods to non-invasively disentangle cellu
Externí odkaz:
http://arxiv.org/abs/2305.10829
Autor:
Chakwizira, Arthur, Zhu, Ante, Foo, Thomas, Westin, Carl-Fredrik, Szczepankiewicz, Filip, Nilsson, Markus
The dependence of the diffusion MRI signal on the diffusion time carries signatures of restricted diffusion and exchange. Here we seek to highlight these signatures in the human brain by performing experiments using free gradient waveforms that are s
Externí odkaz:
http://arxiv.org/abs/2304.02764
Autor:
Magdalena Anita Roszak, Anna Bręborowicz, Aleksandra Szczepankiewicz, Marcin Mikoś, Zuzanna Bukowy-Bieryłło, Barbara Więckowska, Laura Behan, Hanna Dmeńska, Joanna Goździk-Spychalska, Agata Nowicka, Ewa Sapiejka, Paulina Famulska, Elżbieta Gąsecka, Andrzej Pogorzelski, Irena Wojsyk-Banaszak
Publikováno v:
Advances in Respiratory Medicine, Vol 92, Iss 4, Pp 254-262 (2024)
In recent years, questionnaires were published in English to assess the quality of life of patients with PCD (Primary Ciliary Diskinesia) for adults, adolescents aged 13–17 years, and children aged 6–12 years and their caregivers. This study aime
Externí odkaz:
https://doaj.org/article/43b2a2ce852e444f86fe213a0f422568
Autor:
Olber, Bartlomiej, Radlak, Krystian, Popowicz, Adam, Szczepankiewicz, Michal, Chachuła, Krystian
Deep neural networks (DNN) have outstanding performance in various applications. Despite numerous efforts of the research community, out-of-distribution (OOD) samples remain a significant limitation of DNN classifiers. The ability to identify previou
Externí odkaz:
http://arxiv.org/abs/2212.14268
Diffusion magnetic resonance imaging is sensitive to the microstructural properties of brain tissue. However, estimating clinically and scientifically relevant microstructural properties from the measured signals remains a highly challenging inverse
Externí odkaz:
http://arxiv.org/abs/2211.09887
Autor:
Elżbieta Izabela Szczepankiewicz, Joanna Błażyńska, Beata Zaleska, Hanna Czaja-Cieszyńska, Dominika Kordela
Publikováno v:
Zeszyty Teoretyczne Rachunkowości, Vol 48, Iss 1, Pp 99-136 (2024)
Purpose: Each entity that submits a corporate governance statement is required to indicate the principles that it did not apply and to explain the circumstances and reasons for not applying them. The objective of this article is to assess the scope o
Externí odkaz:
https://doaj.org/article/d75aeea23673428aa0fc62efbfb17255
Autor:
Karolina Szczepankiewicz, Adam Popowicz, Kamil Charkiewicz, Katarzyna Nałęcz-Charkiewicz, Michał Szczepankiewicz, Sławomir Lasota, Paweł Zawistowski, Krystian Radlak
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract Deep neural networks (DNNs) have achieved outstanding results in domains such as image processing, computer vision, natural language processing and bioinformatics. In recent years, many methods have been proposed that can provide a visual ex
Externí odkaz:
https://doaj.org/article/ac891ea96fa34318aec2041fcf852a11