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The usefulness of statistical clustering algorithms developed for automatic segmentation of lesions and organs in magnetic resonance imaging (MRI) intensity data sets suffers from spatial nonstationarities introduced into the data sets by the acquisition instrumentation. The major intensity inhomogeneity in MRI is caused by variations in the B1-field of the(More)
A brief mindfulness intervention diminished bias in favor of one's in-group and against one's out-group. In the linguistic intergroup bias (LIB), individuals expect in-group members to behave positively, and out-group members to behave negatively. Consequently, individuals choose abstract language beset with character inferences to describe these expected(More)
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