On the computational assessment of white matter hyperintensity progression: difficulties in method selection and bias field correction performance on images with significant white matter pathology

Maria Valdes Hernandez, Victor Gonzalez-Castro, Dina T. Ghandour, Xin Wang, Fergus Doubal, Susana Munoz-Maniega, Paul Armitage, Joanna Wardlaw

Research output: Contribution to journal › Article › peer-review

Original languageEnglish
Pages (from-to)475-85
JournalNeuroradiology
Volume58
Early online date30 Jan 2016
DOIs
Publication statusPublished - May 2016

Access to Document

  • On the computational assessment of white matter hyperintensity progression

    This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http:// creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

    Final published version, 2.09 MBLicence: Creative Commons: Attribution (CC-BY)
  • art_10.1007_s00234-016-1648-3-1

    This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

    Final published version, 611 KBLicence: Creative Commons: Attribution (CC-BY)
    • 1 Oral presentation

    Cite this