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Hussien Abid Ali Mraity

Researcher at University of Kufa

Publications -  16
Citations -  112

Hussien Abid Ali Mraity is an academic researcher from University of Kufa. The author has contributed to research in topics: Image quality & Medicine. The author has an hindex of 6, co-authored 11 publications receiving 79 citations. Previous affiliations of Hussien Abid Ali Mraity include University of Salford & RMIT University.

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Developing and validating a psychometric scale for image quality assessment

TL;DR: This paper explains how a psychometric scale for image quality assessment can be created using Bandura's theory for self-efficacy, which could reduce variability and improve the validity and reliability of perceptual image quality evaluations.
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Radon levels in different types of bottled drinking water and carbonated drinks in Iraqi markets

TL;DR: In this article, Radon measurements were carried out using RAD-7 an electronic Radon detector and the results revealed that the radon concentrations were lower than the recommended limits which were indicated by the World Health Organization and by the regulatory bodies of European Union.
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Development and validation of a psychometric scale for assessing PA chest image quality: A pilot study

TL;DR: This study represents the first development of a chest image quality perception scale based on Bandura's theory and there was excellent correlation between the imagequality perception scores derived using the scale and the SNR.
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Natural radioactivity levels in soil samples of some schools in al-shatrah city at dhi qar governorate, iraq

TL;DR: In this article, natural radioactive elements such as 238U, 232Th and 40K were measured in the samples of soil which gathered from the city of Shatrah in Dhi Qar ÂGovernorate using the Gama ray spectroscopy (NaI(Tl)) technique.
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Development and validation of a visual grading scale for assessing image quality of AP pelvis radiographic images.

TL;DR: This study represents the first full development and validation of a visual image quality scale using psychometric theory and can act as a validated tool for future research, teaching and clinical evaluations of image quality.