More publications
- Standardized evaluation of the extent of resection in glioblastoma with automated early post-operative segmentation
- AeroPath: An airway segmentation benchmark dataset with challenging pathology and baseline method
- Incidence, risk factors, and clinical implications of postoperative blood in or near the resection cavity after glioma surgery
- Growth dynamics of untreated meningiomas
- 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
- Learning deep abdominal CT registration through adaptive loss weighting and synthetic data generation Read publication
- Treatment of Liver Metastases With Focused Ultrasound and Microbubbles in Patients With Colorectal Cancer Receiving Chemotherapy
- H2G-Net: A multi-resolution refinement approach for segmentation of breast cancer region in gigapixel histopathological images Read publication
- Train smarter, not harder: learning deep abdominal CT registration on scarce data
Other
- Glioblastoma Segmentation from Early Post-operative MRI: Challenges and Clinical Impact
- Segmentation of post-operative MRI of glioblastoma - Posterpresentation NLDL2023
- Raidionics: automatic pre- and post-operative brain tumor segmentation and reporting
- Segmentation of post-operative glioblastoma
- Reseksjonsgrad og post-operative segmentering
- Segmentation of post-operative glioblastoma
