Preoperative 18F-FDG PET/CT tumor markers outperform MRI-based markers for the prediction of lymph node metastases in primary endometrial cancer

por Fasmer, Kristine E., Gulati, Ankush, Dybvik, Julie A., Ytre-Hauge, Sigmund, Salvesen, Øyvind, Trovik, Jone, Krakstad, Camilla, Haldorsen, Ingfrid S.
Publicado 2020

An MRI-Based Radiomic Prognostic Index Predicts Poor Outcome and Specific Genetic Alterations in Endometrial Cancer

por Jacob, Havjin, Dybvik, Julie A., Ytre-Hauge, Sigmund, Fasmer, Kristine E., Hoivik, Erling A., Trovik, Jone, Krakstad, Camilla, Haldorsen, Ingfrid S.
Publicado 2021

Whole‐Volume Tumor MRI Radiomics for Prognostic Modeling in Endometrial Cancer

por Fasmer, Kristine E., Hodneland, Erlend, Dybvik, Julie A., Wagner‐Larsen, Kari, Trovik, Jone, Salvesen, Øyvind, Krakstad, Camilla, Haldorsen, Ingfrid H.S.
Publicado 2020

A radiogenomics application for prognostic profiling of endometrial cancer

por Hoivik, Erling A., Hodneland, Erlend, Dybvik, Julie A., Wagner-Larsen, Kari S., Fasmer, Kristine E., Berg, Hege F., Halle, Mari K., Haldorsen, Ingfrid S., Krakstad, Camilla
Publicado 2021

Preoperative pelvic MRI and 2-[(18)F]FDG PET/CT for lymph node staging and prognostication in endometrial cancer—time to revisit current imaging guidelines?

por Fasmer, Kristine E., Gulati, Ankush, Dybvik, Julie A., Wagner-Larsen, Kari S., Lura, Njål, Salvesen, Øyvind, Forsse, David, Trovik, Jone, Pijnenborg, Johanna M. A., Krakstad, Camilla, Haldorsen, Ingfrid S.
Publicado 2022

Automated segmentation of endometrial cancer on MR images using deep learning

por Hodneland, Erlend, Dybvik, Julie A., Wagner-Larsen, Kari S., Šoltészová, Veronika, Munthe-Kaas, Antonella Z., Fasmer, Kristine E., Krakstad, Camilla, Lundervold, Arvid, Lundervold, Alexander S., Salvesen, Øyvind, Erickson, Bradley J., Haldorsen, Ingfrid
Publicado 2021