Vitenskapelig artikkel
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Hodneland, Erlend; Andersen, Erling; Wagner-Larsen, Kari Strøno
et al. (2024). Impact of MRI radiomic feature normalization for prognostic modelling in uterine endometrial and cervical cancers. (ekstern lenke)
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Fasmer, Kristine Eldevik; Gulati, Ankush; Dybvik, Julie Andrea
et al. (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?. (ekstern lenke)
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Dybvik, Julie Andrea; Fasmer, Kristine Eldevik; Ytre-Hauge, Sigmund
et al. (2022). MRI-assessed tumor-free distance to serosa predicts deep myometrial invasion and poor outcome in endometrial cancer. (ekstern lenke)
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Høivik, Erling Andre; Hodneland, Erlend; Dybvik, Julie Andrea
et al. (2021). A radiogenomics application for prognostic profiling of endometrial cancer. (ekstern lenke)
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Jacob, Havjin; Dybvik, Julie Andrea; Ytre-Hauge, Sigmund
et al. (2021). An mri-based radiomic prognostic index predicts poor outcome and specific genetic alterations in endometrial cancer. (ekstern lenke)
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Hodneland, Erlend; Dybvik, Julie Andrea; Wagner-Larsen, Kari Strøno
et al. (2021). Automated segmentation of endometrial cancer on MR images using deep learning. (ekstern lenke)
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Fasmer, Kristine Eldevik; Hodneland, Erlend; Dybvik, Julie Andrea
et al. (2020). Whole-volume tumor MRI radiomics for prognostic modeling in endometrial cancer. (ekstern lenke)
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Fasmer, Kristine Eldevik; Gulati, Ankush; Dybvik, Julie Andrea
et al. (2020). Preoperative 18F-FDG PET/CT tumor markers outperform MRI-based markers for the prediction of lymph node metastases in primary endometrial cancer. (ekstern lenke)
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Ytre-Hauge, Sigmund; Dybvik, Julie Andrea; Lundervold, Arvid
et al. (2018). Preoperative tumor texture analysis on MRI predicts high-risk disease and reduced survival in endometrial cancer. (ekstern lenke)
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