955 24 208
- Unit:
- SINTEF Digital
- Department:
- Health Research
- Office:
- Trondheim
Publications
- Code-Free Development and Deployment of Deep Segmentation Models for Digital Pathology
- Teacher-student approach for lung tumor segmentation from mixed-supervised datasets
- Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding
- Meningioma Segmentation in T1-Weighted MRI Leveraging Global Context and Attention Mechanisms
- Preliminary Processing and Analysis of an Adverse Event Dataset for Detecting Sepsis-Related Events
- Fast meningioma segmentation in T1-weighted magnetic resonance imaging volumes using a lightweight 3D deep learning architecture
- Glioblastoma Surgery Imaging—Reporting and Data System: Standardized Reporting of Tumor Volume, Location, and Resectability Based on Automated Segmentations
- Glioblastoma Surgery Imaging-Reporting and Data System: Validation and Performance of the Automated Segmentation Task
- Sonopermeation enhances uptake and therapeutic effect of free and encapsulated cabazitaxel
- FastPathology: An open-source platform for deep learning-based research and decision support in digital pathology