Computed tomography synthesis from magnetic resonance images in the pelvis using multiple random forests and auto-context features

Titel:: Computed tomography synthesis from magnetic resonance images in the pelvis using multiple random forests and auto-context features
Dokumenttyp:: Konferenzbeitrag
Autor(en):: Andreasen, Daniel; Edmund, Jens M.; Zografos, Vasileios; Menze, Bjoern H.; Van Leemput, Koen
Herausgeber:: Styner, Martin A.; Angelini, Elsa D.
Kongress- / Buchtitel:: Medical Imaging 2016: Image Processing
Verlag / Institution:: SPIE
Publikationsdatum:: 21.03.2016
Jahr:: 2016
Volltext / DOI:: doi:10.1117/12.2216924
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