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Julie Andrea Dybvik's picture

Julie Andrea Dybvik

PhD Candidate
  • E-mailjulie.dybvik@uib.no
  • Visitor Address
    Haukeland Universitetssykehus Laboratoriebygget, 7. etg. Heis øst
    5009 Bergen
  • Postal Address
    Postboks 7804
    5020 Bergen
Academic article
  • Show author(s) (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.
  • Show author(s) (2022). MRI-assessed tumor-free distance to serosa predicts deep myometrial invasion and poor outcome in endometrial cancer. Insight into Imaging. 1-12.
  • Show author(s) (2021). Automated segmentation of endometrial cancer on MR images using deep learning. Scientific Reports.
  • Show author(s) (2021). An mri-based radiomic prognostic index predicts poor outcome and specific genetic alterations in endometrial cancer. Journal of Clinical Medicine. 1-11.
  • Show author(s) (2021). A radiogenomics application for prognostic profiling of endometrial cancer. Communications Biology. 12 pages.
  • Show author(s) (2020). Whole-volume tumor MRI radiomics for prognostic modeling in endometrial cancer. Journal of Magnetic Resonance Imaging. 1-10.
  • Show author(s) (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.
  • Show author(s) (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)