A comprehensive study on automated muscle segmentation for assessing fat infiltration in neuromuscular diseases

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

Classification according to Österreichische Systematik der Wissenschaftszweige (ÖFOS 2012)

@article{98b7fcf641104b04bb467279239c784e,

title = "A comprehensive study on automated muscle segmentation for assessing fat infiltration in neuromuscular diseases",

author = "Michael Gadermayr and Constantin Disch and Madlaine M{\"u}ller and Dorit Merhof and Burkhard Gess",

year = "2018",

month = may,

doi = "10.1016/j.mri.2017.12.014",

language = "undefiniert/unbekannt",

journal = "Magnetic Resonance Imaging",

issn = "0730-725X",

publisher = "Elsevier Inc.",

}

TY - JOUR

T1 - A comprehensive study on automated muscle segmentation for assessing fat infiltration in neuromuscular diseases

AU - Gadermayr, Michael

AU - Disch, Constantin

AU - Müller, Madlaine

AU - Merhof, Dorit

AU - Gess, Burkhard

PY - 2018/5

Y1 - 2018/5

U2 - 10.1016/j.mri.2017.12.014

DO - 10.1016/j.mri.2017.12.014

M3 - Artikel

SN - 0730-725X

JO - Magnetic Resonance Imaging

JF - Magnetic Resonance Imaging

ER -