Prosjekter
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Flere publikasjoner
- Assessing Impact of Data Quality in Early Post-Operative Glioblastoma Segmentation
- Automatic and standardized reporting of perioperative MRIs in patients with central nervous system tumors
- Estimating overall survival of glioblastoma patients using clinical variables, tumor size, and location
- Prognostic value of manual versus automatic methods for assessing extents of resection and residual tumor volume in glioblastoma
- Standardized evaluation of the extent of resection in glioblastoma with automated early post-operative segmentation Les publikasjonen
- Glioblastoma Segmentation from Early Post-operative MRI: Challenges and Clinical Impact
- The prognostic importance of glioblastoma size and shape
- 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 Les publikasjonen
- Learning deep abdominal CT registration through adaptive loss weighting and synthetic data generation Les publikasjonen
Annen formidling
- Automatic analysis of early post-operative MRI for improved assessment of glioblastoma surgery
- Segmentation of post-operative MRI of glioblastoma - Posterpresentation NLDL2023
- Reseksjonsgrad og post-operative segmentering
- Segmentation of post-operative glioblastoma
- Raidionics: automatic pre- and post-operative brain tumor segmentation and reporting
- Segmentation of post-operative glioblastoma