Prosjekter
Publikasjoner
- Glioblastoma Segmentation from Early Post-operative MRI: Challenges and Clinical Impact
- Standardized evaluation of the extent of resection in glioblastoma with automated early post-operative segmentation
- Lesion Frequency Distribution Maps of Traumatic Axonal Injury on Early Magnetic Resonance Imaging After Moderate and Severe Traumatic Brain Injury and Associations to 12 Months Outcome
- Histomolecular Validation of [18F]-FACBC in Gliomas Using Image-Localized Biopsies
- Open access segmentations of intraoperative brain tumor ultrasound images
- Incidence, risk factors, and clinical implications of postoperative blood in or near the resection cavity after glioma surgery
- Association between patient-reported cognitive function and location of glioblastoma Les publikasjonen
- The Big Bang of Deep Learning in Ultrasound-Guided Surgery: A Review
- Growth dynamics of untreated meningiomas
- Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks
Annen formidling
- Bruker kunstig intelligens i kampen mot kreft
- Registration techniques for navigation in laparoscopic surgery
- Forskningsprosjekt vil utvikle screeningverktøy for demens
- Bruker KI for å utvikler screeningverktøy for demens
- Segmentation of post-operative MRI of glioblastoma - Posterpresentation NLDL2023
- Guest Editorial A Glimpse into the Cutting Edge of Interventional Ultrasound
- Artificial Intelligence in Studies of Malignant Tumours
- Raidionics: automatic pre- and post-operative brain tumor segmentation and reporting
- En prat over kaffemaskina ga forskningspris
- Segmentation of post-operative glioblastoma
