• Fully Automatic Whole-Volume Tumor Segmentation in Cervical Cancer 

      Hodneland, Erlend; Kaliyugarasan, Sathiesh Kumar; Wagner-Larsen, Kari Strøno; Lura, Njål Gjærde; Andersen, Erling; Bartsch, Hauke; Smit, Noeska Natasja; Halle, Mari Kyllesø; Krakstad, Camilla; Lundervold, Alexander Selvikvåg; Haldorsen, Ingfrid S. (Journal article; Peer reviewed, 2022-05-11)
      Uterine cervical cancer (CC) is the most common gynecologic malignancy worldwide. Whole-volume radiomic profiling from pelvic MRI may yield prognostic markers for tailoring treatment in CC. However, radiomic profiling ...
    • MRI-based radiomic signatures for pretreatment prognostication in cervical cancer 

      Wagner-Larsen, Kari Strøno; Hodneland, Erlend; Fasmer, Kristine Eldevik; Lura, Njål; Woie, Kathrine; Bertelsen, Bjørn; Salvesen, Øyvind Olav; Halle, Mari Kyllesø; Smit, Noeska Natasja; Krakstad, Camilla; Haldorsen, Ingfrid S. (Journal article; Peer reviewed, 2023)
      Background Accurate pretherapeutic prognostication is important for tailoring treatment in cervical cancer (CC). Purpose To investigate whether pretreatment MRI-based radiomic signatures predict disease-specific ...