Intensity Inhomogeneity Correction of Structural MR Images: A Data-Driven Approach to Define Input Algorithm Parameters.

Front Neuroinform · 2016 · PMC4791378 · PMID 27014050

Europe PMC DOI

hedged sentence

0.0010

closest p · 0.0× alpha

0.0010

boldest claim

The sentences

highly significantp < 0.001actually significant

For both INU profiles, the effect of noise was highly significant ( F = 367.28, p < 0.001 for the low dynamic, F = 50.6, p = 0.001 for the high dynamic), whereas the INU magnitude showed a much less significant effect ( F = 7.56, p = 0.0229 for the low-dynamic profile, F = 3.87, p = 0.0834 for the high-dynamic one).

also in 132,142 other papers

Quoted from the open-access full text in Europe PMC under the licence the publisher applied. The sentence is reproduced exactly as published; the emphasis is ours.