Zobrazeno 1 - 10
of 117
pro vyhledávání: '"Garpebring, Anders"'
Concerns about the reproducibility of deep learning research are more prominent than ever, with no clear solution in sight. The relevance of machine learning research can only be improved if we also employ empirical rigor that incorporates reproducib
Externí odkaz:
http://arxiv.org/abs/2210.11146
Autor:
Vikner, Tomas1,2,3 (AUTHOR) tomas.vikner@umu.se, Garpebring, Anders1 (AUTHOR), Björnfot, Cecilia1 (AUTHOR), Nyberg, Lars1,4,5 (AUTHOR), Malm, Jan6 (AUTHOR), Eklund, Anders1,2,4 (AUTHOR), Wåhlin, Anders1,2,4 (AUTHOR) anders.wahlin@umu.se
Publikováno v:
Scientific Reports. 7/3/2024, Vol. 14 Issue 1, p1-13. 13p.
Autor:
Simkó, Attila, Bylund, Mikael, Jönsson, Gustav, Löfstedt, Tommy, Garpebring, Anders, Nyholm, Tufve, Jonsson, Joakim
Publikováno v:
In Zeitschrift fuer Medizinische Physik May 2024 34(2):270-277
Purpose: There is increasing interest in computed tomography (CT) image estimations from magnetic resonance (MR) images. The estimated CT images can be utilised for attenuation correction, patient positioning, and dose planning in diagnostic and radi
Externí odkaz:
http://arxiv.org/abs/1805.11126
The theory of compressive sensing (CS) asserts that an unknown signal $\mathbf{x} \in \mathbb{C}^N$ can be accurately recovered from $m$ measurements with $m\ll N$ provided that $\mathbf{x}$ is sparse. Most of the recovery algorithms need the sparsit
Externí odkaz:
http://arxiv.org/abs/1710.04030
The purpose of this study is to investigate a method, using simulations, to improve contrast agent quantification in Dynamic Contrast Enhanced MRI. Bayesian hierarchical models (BHMs) are applied to smaller images ($10\times10\times10$) such that spa
Externí odkaz:
http://arxiv.org/abs/1701.06445
Autor:
Garpebring, Anders
Background: Dynamic contrast-enhanced MRI (DCE-MRI) has the potential to produce images of physiological quantities such as blood flow, blood vessel volume fraction, and blood vessel permeability. Such information is highly valuable, e.g., in oncolog
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-49773
Autor:
Björnfot, Cecilia, Eklund, Anders, Larsson, Jenny, Hansson, William, Birnefeld, Johan, Garpebring, Anders, Qvarlander, Sara, Koskinen, Lars-Owe D, Malm, Jan, Wåhlin, Anders
Publikováno v:
Journal of Cerebral Blood Flow & Metabolism; Aug2024, Vol. 44 Issue 8, p1343-1351, 9p
Publikováno v:
In Physics and Imaging in Radiation Oncology January 2020 13:21-27
Akademický článek
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