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Magnus Båth

Researcher at University of Gothenburg

Publications -  157
Citations -  3351

Magnus Båth is an academic researcher from University of Gothenburg. The author has contributed to research in topics: Tomosynthesis & Image quality. The author has an hindex of 30, co-authored 151 publications receiving 3086 citations. Previous affiliations of Magnus Båth include Sahlgrenska University Hospital.

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Visual grading characteristics (VGC) analysis: a non-parametric rank-invariant statistical method for image quality evaluation.

TL;DR: The area under the VGC curve is proposed as a single measure of the difference in image quality between two compared modalities and it is described how VGC analysis can be applied to data from an absolute visual grading analysis study.
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Comparison of Chest Tomosynthesis and Chest Radiography for Detection of Pulmonary Nodules: Human Observer Study of Clinical Cases

TL;DR: For the detection of pulmonary nodules, the performance of chest tomosynthesis is better, with increased sensitivity especially for nodules smaller than 9 mm, than that of chest radiography.
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A software tool for increased efficiency in observer performance studies in radiology

TL;DR: A software tool-ViewDEX (Viewer for Digital Evaluation of X-ray images)-has been developed in Java, enabling it to function on almost any computer, designed to handle several types of studies, such as visual grading analysis (VGA), image criteria scoring (ICS) and receiver operating characteristics (ROC).
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VIEWDEX: an efficient and easy-to-use software for observer performance studies.

TL;DR: An evaluation of the efficiency of ViewDEX for receiver operating characteristic (ROC) studies, free-response ROC studies and visual grading (VG) studies was conducted and it was found that the software is an efficient and easy-to-use software for observer performance studies.
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Comparison of visual grading analysis and determination of detective quantum efficiency for evaluating system performance in digital chest radiography.

TL;DR: The results show that clinical performance cannot be predicted from determinations of D QE alone, and that a system with lower DQE, under the quantum-saturated conditions in chest radiography, can outperform a system in terms of imaging properties if the image processing used on the former is more effective in presenting the information in the image to the radiologist.