1 citations · 1 across the 3 of their papers we have counts for
3 papers
A unified FLAIR hyperintensity segmentation model for various CNS tumor types and acquisition time points
Mathilde Gajda Faanes, David Bouget, Asgeir S. Jakola +11
T2-weighted fluid-attenuated inversion recovery (FLAIR) magnetic resonance imaging (MRI) scans are important for diagnosis, treatment planning and monitoring of brain tumors. Depen…
Automatic and standardized surgical reporting for central nervous system tumors
David Bouget, Mathilde Gajda Faanes, Asgeir Store Jakola +17
Magnetic resonance (MR) imaging is essential for evaluating central nervous system (CNS) tumors, guiding surgical planning, treatment decisions, and assessing postoperative outcome…
Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations
Mathilde Faanes, Ragnhild Holden Helland, Ole Solheim +2
Automatic segmentation of brain tumors in intra-operative ultrasound (iUS) images could facilitate localization of tumor tissue during resection surgery. The lack of large annotate…