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Analysis of institutional authors

Hernández JaCorresponding AuthorMora MlAuthorSchiavi EAuthor

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Article

RF inhomogeneity correction algorithm in magnetic resonance imaging

Publicated to:Lecture Notes In Computer Science. 3337 1-8 - 2004-01-01 3337(), DOI: 10.1007/978-3-540-30547-7_1

Authors: Hernández JA; Mora ML; Schiavi E; Toharia P

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Abstract

MR images usually present grey level inhomogeneities which are a problem of significant importance. Eliminating these inhomogeneities is not an easy problem and has been studied and discussed in several previous publications. Most of those approaches are based on segmentation processes. The algorithm presented in this paper has the advantage that it does not involve any segmentation step. Instead, a interpolating polynomial model based on a Gabor transform was used to construct a filter that can be used in order to correct these inhomogeneities. The results obtained are really good and show that the grey-level inhomogeneities can be corrected without segmentation. © Springer-Verlag Berlin Heidelberg 2004.

Keywords

Artificial intelligenceComputer scienceComputersGabor transformGrey levelsInhomogeneitiesInterpolating polynomialsMagnetic resonance imagingMr imagesRf-inhomogeneitySegmentation process

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Lecture Notes In Computer Science, and although the journal is classified in the quartile Q4 (Agencia WoS (JCR)), its regional focus and specialization in Computer Science, Theory & Methods, give it significant recognition in a specific niche of scientific knowledge at an international level.

From a relative perspective, and based on the normalized impact indicator calculated from the Field Citation Ratio (FCR) of the Dimensions source, it yields a value of: 1.59, which indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: Dimensions Jun 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-06-04, the following number of citations:

  • Scopus: 6
  • OpenCitations: 3

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-06-04:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 7 (PlumX).

Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (Hernández Tamames, Juan Antonio) and Last Author ().

the author responsible for correspondence tasks has been Hernández Tamames, Juan Antonio.