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
Lysvik EK, Mikalsen LTG, Rootwelt-Revheim ME, Emblem KE, Hjørnevik T(2023) Optimization of Q.Clear reconstruction for dynamic 18F PET imaging EJNMMI Phys, 10(1), 65 DOI 10.1186/s40658-023-00584-1, PubMed 37861929
Osadebey M, Liu Q, Fuster-Garcia E, Emblem KE(2023) Interpreting deep learning models for glioma survival classification using visualization and textual explanations BMC Med Inform Decis Mak, 23(1), 225 DOI 10.1186/s12911-023-02320-2, PubMed 37853371
MacIntosh BJ, Liu Q, Schellhorn T, Beyer MK, Groote IR, Morberg PC, Poulin JM, Selseth MN, Bakke RC, Naqvi A, Hillal A, Ullberg T, Wassélius J, Rønning OM, Selnes P, Kristoffersen ES, Emblem KE, Skogen K, Sandset EC, Bjørnerud A(2023) Radiological features of brain hemorrhage through automated segmentation from computed tomography in stroke and traumatic brain injury Front Neurol, 14, 1244672 DOI 10.3389/fneur.2023.1244672, PubMed 37840934