Zobrazeno 1 - 10
of 222
pro vyhledávání: '"Yildirim, Isa"'
Several techniques have been proposed over the years for automatic hypocenter localization. While those techniques have pros and cons that trade-off computational efficiency and the susceptibility of getting trapped in local minima, an alternate appr
Externí odkaz:
http://arxiv.org/abs/2205.14439
In this paper, we introduced a novel deep learning-based reconstruction technique for low-dose CT imaging using 3 dimensional convolutions to include the sagittal information unlike the existing 2 dimensional networks which exploits correlation only
Externí odkaz:
http://arxiv.org/abs/2105.14130
Autor:
Yildirim, Isa
In this paper, firstly, we introduce the concept of convexity in A-metric spaces and show that Mann iteration process converges to the unique fixed point of Zamfirescu type contractions in this newly defined convex A-metric space. Secondly, we define
Externí odkaz:
http://arxiv.org/abs/2101.06042
Autor:
Yildirim, Isa
Publikováno v:
Turkish Journal of Mathematics and Computer Science 13(1)(2021) 221-225
In the present paper, we extend the Zamfirescu results ([9]) to A-metric spaces. Firstly, we define the notion of Zamfirescu mapping in A-metric spaces. After, we also obtain a fixed point theorem for such mappings. The established results carry some
Externí odkaz:
http://arxiv.org/abs/2101.04957
Publikováno v:
Biomedical Signal Processing and Control 75 (2022) 103598
Low-dose CT imaging requires reconstruction from noisy indirect measurements which can be defined as an ill-posed linear inverse problem. In addition to conventional FBP method in CT imaging, recent compressed sensing based methods exploit handcrafte
Externí odkaz:
http://arxiv.org/abs/2012.06448
Publikováno v:
Demonstratio Mathematica, Vol 56, Iss 1, Pp 1164-1173 (2023)
The primary goal of this research is to investigate the approximate numerical solution of variational inequalities using quasimonotone operators in infinite-dimensional real Hilbert spaces. In this study, the sequence obtained by the proposed iterati
Externí odkaz:
https://doaj.org/article/7da496c28a554a0985ca8d42b76db972
Publikováno v:
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)
Ionizing radiation has been the biggest concern in CT imaging. To reduce the dose level without compromising the image quality, low-dose CT reconstruction has been offered with the availability of compressed sensing based reconstruction methods. Rece
Externí odkaz:
http://arxiv.org/abs/2010.13232
Autor:
Yildirim, Isa, Khan, Safeer Hussain
Publikováno v:
Int. J. Nonlinear Anal. Appl 13(2022)1,1957-1964
In this paper, we first define the concept of convexity in G-metric spaces. We then use Mann iterative process in this newly defined convex G-metric space to prove some convergence results for some classes of mappings. In this way, we can extend seve
Externí odkaz:
http://arxiv.org/abs/1911.04867
Publikováno v:
In Biomedical Signal Processing and Control August 2023 85