Zobrazeno 1 - 10
of 134
pro vyhledávání: '"Materka, Andrzej"'
We propose a novel approach to denoising diffusion magnetic resonance images (dMRI) using convolutional neural networks, that exploits the benefits of data acquired at multiple b-values to offset the need for many redundant observations. Denoising is
Externí odkaz:
http://arxiv.org/abs/2410.16898
Autor:
Jurek, Jakub, Materka, Andrzej, Ludwisiak, Kamil, Majos, Agata, Gorczewski, Kamil, Cepuch, Kamil, Zawadzka, Agata
In this paper, we propose a method for denoising diffusion-weighted images (DWI) of the brain using a convolutional neural network trained on realistic, synthetic MR data. We compare our results to averaging of repeated scans, a widespread method use
Externí odkaz:
http://arxiv.org/abs/2206.00305
Autor:
Materka, Andrzej1 (AUTHOR) andrzej.materka@p.lodz.pl, Jurek, Jakub1 (AUTHOR)
Publikováno v:
Sensors (14248220). Feb2024, Vol. 24 Issue 3, p846. 29p.
Autor:
Jurek, Jakub, Materka, Andrzej, Ludwisiak, Kamil, Majos, Agata, Gorczewski, Kamil, Cepuch, Kamil, Zawadzka, Agata
Publikováno v:
In Biocybernetics and Biomedical Engineering January-March 2023 43(1):206-232
Publikováno v:
In Biocybernetics and Biomedical Engineering January-March 2020 40(1):111-125
Autor:
Klepaczko, Artur *, Szczypiński, Piotr, Deistung, Andreas, Reichenbach, Jürgen R., Materka, Andrzej
Publikováno v:
In Computer Methods and Programs in Biomedicine December 2016 137:293-309
Publikováno v:
In Zeitschrift fuer Medizinische Physik March 2015 25(1):66-76
Autor:
Materka Andrzej, Strzelecki Michał
Publikováno v:
Foundations of Computing and Decision Sciences, Vol 40, Iss 3, Pp 163-185 (2015)
Computerized texture analysis characterizes spatial patterns of image intensity, which originate in the structure of tissues. However, a number of texture descriptors also depend on local average image intensity and/or contrast. This variations, know
Externí odkaz:
https://doaj.org/article/b500697a679246c6a886d9179601bfa6
Autor:
Poryzala, Pawel, Materka, Andrzej
Publikováno v:
In Biomedical Signal Processing and Control March 2014 10:201-208
Publikováno v:
In Nuclear Inst. and Methods in Physics Research, A 21 February 2013 702:137-140