Prosjekter
Kontaktperson, prosjekter
Publikasjoner
- The Big Bang of Deep Learning in Ultrasound-Guided Surgery: A Review
- Growth dynamics of untreated meningiomas
- Association between patient-reported cognitive function and location of glioblastoma
- Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks
- Raidionics: an open software for pre- and postoperative central nervous system tumor segmentation and standardized reporting
- Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning Les publikasjonen
- H2G-Net: A multi-resolution refinement approach for segmentation of breast cancer region in gigapixel histopathological images Les publikasjonen
- Preoperative Brain Tumor Imaging: Models and Software for Segmentation and Standardized Reporting Les publikasjonen
- Code-Free Development and Deployment of Deep Segmentation Models for Digital Pathology Les publikasjonen
- Meningioma Segmentation in T1-Weighted MRI Leveraging Global Context and Attention Mechanisms Les publikasjonen
Annen formidling
- 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
- Reseksjonsgrad og post-operative segmentering