Zobrazeno 1 - 10
of 439
pro vyhledávání: '"Sérsic AN"'
Autor:
Kopriva, Ivica, Sersic, Damir
Subspace clustering (SC) algorithms utilize the union of subspaces model to cluster data points according to the subspaces from which they are drawn. To better address separability of subspaces and robustness to noise we propose a wavelet packet (WP)
Externí odkaz:
http://arxiv.org/abs/2406.03819
Autor:
Matulić, Tomislav, Seršić, Damir
In this paper, we provide a precise mathematical model of crystal-to-crystal response which is used to generate the white image - a necessary compensation model needed to overcome the physical limitations of the PET scanner. We present a closed-form
Externí odkaz:
http://arxiv.org/abs/2306.17652
Autor:
Matulić, Tomislav, Seršić, Damir
In this paper, we provide a novel method for the estimation of unknown parameters of the Gaussian Mixture Model (GMM) in Positron Emission Tomography (PET). A vast majority of PET imaging methods are based on reconstruction model that is defined by v
Externí odkaz:
http://arxiv.org/abs/2306.17028
Positron emission tomography (PET) is an important functional medical imaging technique often used in the evaluation of certain brain disorders, whose reconstruction problem is ill-posed. The vast majority of reconstruction methods in PET imaging, bo
Externí odkaz:
http://arxiv.org/abs/2306.04664
Publikováno v:
In Journal for Nature Conservation September 2024 81
Autor:
Matulić, Tomislav, Seršić, Damir
Publikováno v:
In Biomedical Signal Processing and Control August 2024 94
Autor:
Vlašić, Tin, Seršić, Damir
Publikováno v:
Signal Processing. Image Communication, vol. 105, article no. 116702, July 2022
This paper introduces a novel framework for single-pixel imaging via compressive sensing (CS) in shift-invariant (SI) spaces by exploiting the sparsity property of a wavelet representation. We reinterpret the acquisition procedure of a single-pixel c
Externí odkaz:
http://arxiv.org/abs/2106.00404
Autor:
Vlašić, Tin, Seršić, Damir
Publikováno v:
IEEE Transactions on Signal Processing, vol. 70, pp. 438-451, 2022
This paper introduces a novel framework and corresponding methods for sampling and reconstruction of sparse signals in shift-invariant (SI) spaces. We reinterpret the random demodulator, a system that acquires sparse bandlimited signals, as a system
Externí odkaz:
http://arxiv.org/abs/2010.15618
An image or volume of interest in positron emission tomography (PET) is reconstructed from pairs of gamma rays emitted from a radioactive substance. Many image reconstruction methods are based on estimation of pixels or voxels on some predefined grid
Externí odkaz:
http://arxiv.org/abs/1906.06961
Autor:
Domingos-Melo, Arthur, de Brito, Vinícius Lourenço Garcia, Sérsic, Alicia, Cocucci, Andrea A., Lunau, Klaus, Machado, Isabel Cristina
Publikováno v:
Bulletin of the Ecological Society of America, 2021 Oct 01. 102(4), 1-4.
Externí odkaz:
https://www.jstor.org/stable/48622106