Search Results - Fasler, Susanne

  • Showing 1 - 5 results of 5
Refine Results
  1. 1
    Quantification of fat infiltration in oculopharyngeal muscular dystrophy: Comparison of three MR imaging methods

    Quantification of fat infiltration in oculopharyngeal muscular dystrophy: Comparison of three MR imaging methods by Gloor, Monika, Fasler, Susanne, Fischmann, Arne, Haas, Tanja, Bieri, Oliver, Heinimann, Karl, Wetzel, Stephan G., Scheffler, Klaus, Fischer, Dirk

    Get full text
    Items that this one cites
    Items that cite this one
    Article
    Save to List
    Saved in:
  2. 2
    Quantitative MRI can detect subclinical disease progression in muscular dystrophy

    Quantitative MRI can detect subclinical disease progression in muscular dystrophy by Fischmann, Arne, Hafner, Patricia, Fasler, Susanne, Gloor, Monika, Bieri, Oliver, Studler, Ueli, Fischer, Dirk

    Published in Journal of neurology
    Get full text
    Items that this one cites
    Items that cite this one
    Article
    Save to List
    Saved in:
  3. 3
    Muscular involvement assessed by MRI correlates to motor function measurement values in oculopharyngeal muscular dystrophy

    Muscular involvement assessed by MRI correlates to motor function measurement values in oculopharyngeal muscular dystrophy by Fischmann, Arne, Gloor, Monika, Fasler, Susanne, Haas, Tanja, Rodoni Wetzel, Rachele, Bieri, Oliver, Wetzel, Stephan, Heinimann, Karl, Scheffler, Klaus, Fischer, Dirk

    Published in Journal of neurology
    Get full text
    Items that this one cites
    Items that cite this one
    Article
    Save to List
    Saved in:
  4. 4
    Quantitative MRI can detect subclinical change in oculopharyngeal muscular dystrophy

    Quantitative MRI can detect subclinical change in oculopharyngeal muscular dystrophy by Fischmann, Arne, Gloor, Monika, Bieri, Oliver, Fasler, Susanne, Studler, Ueli, Fischer, Dirk

    Get full text
    Article
    Save to List
    Saved in:
  5. 5
    Validation of automated artificial intelligence segmentation of optical coherence tomography images

    Validation of automated artificial intelligence segmentation of optical coherence tomography images by Maloca, Peter M, Lee, Aaron Y, de Carvalho, Emanuel R, Okada, Mali, Fasler, Katrin, Leung, Irene, Hörmann, Beat, Kaiser, Pascal, Suter, Susanne, Hasler, Pascal W, Zarranz-Ventura, Javier, Egan, Catherine, Heeren, Tjebo F C, Balaskas, Konstantinos, Tufail, Adnan, Scholl, Hendrik P N

    Published in PloS one
    Get full text
    Items that this one cites
    Items that cite this one
    Article
    Save to List
    Saved in:

Search Tools: