EMUE-D5-3-EPTTissueCharacterization
2020
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Dataset Description
Magnetic resonance-based electric properties tomography The example shows the uncertainty evaluation, under repeatability conditions, of a technique for Electric Properties Tomography (EPT), a quantitative imaging method based on Magnetic Resonance Imaging (MRI). Repeated acquisitions of MRI scans of a homogeneous cylindrical phantom are analysed with appropriate statistical techniques to evaluate the variance-covariance matrix of the EPT input. The latter is then propagated through the EPT technique according to the law of propagation of the uncertainty as described in the GUM [Activity A2.3.2]. Files contained in the dataset are: ReadMe: text file describing the EMUE-D5-3-EPTTissueCharacterization dataset A232_Report.pdf: Report “Magnetic resonance-based electric properties tomography” A232_Report.tex: LaTeX file to be compiled in order to produce A232_Report.pdf CompendiumA232.bib: bibliography file kernel-shapes.png: plot in figure 1 of A232_Report.pdf acquired-maps.png: plot in figure 2 of A232_Report.pdf input-cov-pixel.png: plot in figure 3 of A232_Report.pdf output-cov.png: plot in figure 4 of A232_Report.pdf output-distr.png: plot in figure 5 of A232_Report.pdf code: directory containing the computational codes for the EPT software (C++) and post-processing (matlab) code/averages.m: matlab code that computes the averages, the weighted averages and the corresponding uncertainties code/CMakeLists.txt: cmake project for building the EPT software code/main.cc: C++ source file of the EPT software code/main.h: C++ header file of the EPT software data: directory containing the input and the output data of the EPT software data/emue-[0-2]-[1-5].toml: input configuration files for the EPT software data/emue-sphere.h5: input dataset of scans for the EPT software data/emue-sphere-scov.h5: input dataset of variance-covariance matrix computed with shrinkage estimation for the EPT software data/emue-[0-2]-[1-5].log: output log files of the EPT software data/emue-[0-2]-[1-5]-output.h5: output dataset files of the EPT software
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