South-Eastern Norway Regional Health Authority Grant 2021031 (2023-2026) INDIRECT: Imaging drug delivery in brain cancer by the intrathecal route
The Research Council of Norway and The Norwegian Cancer Society Research Grant 328827 (2022-2030) MATRIX: Multimodal Approach Targeting treatment Refractory Cancers usIng neXt generation technology (Co-lead Work Package 1)
Horizon TMA Marie Skłodowska-Curie Fellowship Grant 101068340 (2023-2026) GLIOBID: Guiding glioblastoma treatments by decrypting tumor biomechanics via Magnetic Resonance Elastography
The Research Council of Norway Project for Scientific Renewal Grant 325971 (2022-2026) TrackGrowth: Tracking cancer growth by intelligent displacement biomaps
The Research Council of Norway BEHANDLING Grant 303249 and the Norwegian Cancer Society (2020-2024) IMAGINE: Imaging molecular mechanisms of angiogenesis in glioma-associated neovasculature
South-Eastern Norway Regional Health Authority Grant 2021057 (2021-2024) CHRONOS: Predicting glioma tumor progression and their relationship with proliferation, […]
European Research Council (ERC) Starting Grant 758657 (2018-2023) ImPRESS - Imaging Perfusion Restrictions Extracellular Solid Stress
South-Eastern Norway Regional Health Authority Extended Career Grant 2017073 (2017-2023) FORCE - Functional imaging Of vascular Restrictions in CancEr
Winther RR, Hjermstad MJ, Yri OE, Skovlund E, Aass N, Astrup GL, Kaasa S, Saxhaug C, Vik-Mo EO(2025) Survival, quality of life, and motor function in brain metastases surgery: The role of complete resection Neurooncol Pract, 12(4), 644-653 DOI 10.1093/nop/npaf011, PubMed 40814420
Biernat D, Birkeland Bugge RA, Ramm-Pettersen J, Schellhorn T, Rønning PA, Helseth E, Emblem KE, Skogen K(2025) Predicting intraoperative meningioma consistency using features from standard MRI sequences: a preoperative evaluation Acta Neurochir (Wien), 167(1), 173 DOI 10.1007/s00701-025-06582-9, PubMed 40542946
Narimani S, Roth Hoff S, Dæhli Kurz K, Gjesdal KI, Geisler J, Grøvik E(2025) Comparative analysis of deep learning architectures for breast region segmentation with a novel breast boundary proposal Sci Rep, 15(1), 8806 DOI 10.1038/s41598-025-92863-3, PubMed 40087354