- E-mailjulie.dybvik@uib.no
- Visitor AddressHaukeland Universitetssykehus Laboratoriebygget, 7. etg. Heis øst5009 Bergen
- Postal AddressPostboks 78045020 Bergen
Academic article
- (2022). Preoperative pelvic MRI and 2-[18F]FDG PET/CT for lymph node staging and prognostication in endometrial cancer—time to revisit current imaging guidelines? European Radiology. 12 pages.
- (2022). MRI-assessed tumor-free distance to serosa predicts deep myometrial invasion and poor outcome in endometrial cancer. Insight into Imaging. 1-12.
- (2021). Automated segmentation of endometrial cancer on MR images using deep learning. Scientific Reports.
- (2021). An mri-based radiomic prognostic index predicts poor outcome and specific genetic alterations in endometrial cancer. Journal of Clinical Medicine. 1-11.
- (2021). A radiogenomics application for prognostic profiling of endometrial cancer. Communications Biology. 12 pages.
- (2020). Whole-volume tumor MRI radiomics for prognostic modeling in endometrial cancer. Journal of Magnetic Resonance Imaging. 1-10.
- (2020). Preoperative 18F-FDG PET/CT tumor markers outperform MRI-based markers for the prediction of lymph node metastases in primary endometrial cancer. European Radiology. 2443-2453.
- (2018). Preoperative tumor texture analysis on MRI predicts high-risk disease and reduced survival in endometrial cancer. Journal of Magnetic Resonance Imaging. 1637-1647.
More information in national current research information system (CRIStin)