Frederika van Limbeek-van den Noort

MSc.

20162019

Research output per year

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Research Output

Deep learning enables automatic quantitative assessment of the puborectalis muscle and the urogenital hiatus in the plane of minimal hiatal dimensions

van den Noort, F., van der Vaart, C. H., Bellos-Grob, A. T. M., van de Waarsenburg, M. K., Slump, C. H. & van Stralen, M., Aug 2019, In : Ultrasound in obstetrics & gynecology. 54, 2, p. 270-275

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
  • 3 Citations (Scopus)
    49 Downloads (Pure)

    Echogenicity of puborectalis muscle, cervix and vastus lateralis muscle in pregnancy in relation to mode of delivery

    Van de Waarsenburg, M. K., Withagen, M. I. J., van den Noort, F., Schagen van Leeuwen, J. H. & van der Vaart, C. H., 1 Jul 2019, In : Ultrasound in Obstetrics and Gynecology. 54, 1, p. 119-123 5 p.

    Research output: Contribution to journalArticleAcademicpeer-review

  • 2 Downloads (Pure)

    Automatic segmentation of puborectalis muscle on three-dimensional transperineal ultrasound

    van den Noort, F., Grob, A. T. M., Slump, C. H., van der Vaart, C. H. & van Stralen, M., 1 Jul 2018, In : Ultrasound in obstetrics & gynecology. 52, 1, p. 97-102 6 p.

    Research output: Contribution to journalArticleAcademicpeer-review

    Open Access
    File
  • 1 Citation (Scopus)
    44 Downloads (Pure)

    Linking white matter and deep gray matter alterations in premanifest Huntington disease

    26 Feb 2016, In : NeuroImage: Clinical. 11, p. 450-460 11 p.

    Research output: Contribution to journalArticleAcademicpeer-review

    Open Access
    File
  • 28 Citations (Scopus)
    20 Downloads (Pure)