• Automated segmentation of endometrial cancer on MR images using deep learning 

      Hodneland, Erlend; Dybvik, Julie Andrea; Wagner-Larsen, Kari Strøno; Solteszova, Veronika; Zanna, Antonella; Fasmer, Kristine Eldevik; Krakstad, Camilla; Lundervold, Arvid; Lundervold, Alexander Selvikvåg; Salvesen, Øyvind; Erickson, Bradley J.; Haldorsen, Ingfrid S (Journal article; Peer reviewed, 2021)
      Preoperative MR imaging in endometrial cancer patients provides valuable information on local tumor extent, which routinely guides choice of surgical procedure and adjuvant therapy. Furthermore, whole-volume tumor analyses ...
    • Near-Infrared Fluorescent Imaging for Monitoring of Treatment Response in Endometrial Carcinoma Patient-Derived Xenograft Models. 

      Fonnes, Tina; Strand, Elin; Fasmer, Kristine Eldevik; Berg, Hege Fredriksen; Espedal, Heidi; Sortland, Kristina; Stefansson, Ingunn; Bjørge, Line; Haldorsen, Ingfrid S; Krakstad, Camilla; Mc Cormack, Emmet (Journal article; Peer reviewed, 2020)
      Imaging of clinically relevant preclinical animal models is critical to the development of personalized therapeutic strategies for endometrial carcinoma. Although orthotopic patient-derived xenografts (PDXs) reflecting ...