Projects
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- AI based analytics of dental images
- Decision support in lung cancer diagnostics
- HiPerNav: High Performance Soft-tissue Navigation
- IDEAR: Improving Cancer Diagnostics in Flexible Endoscopy Using Artificial Intelligence and Medical Robotics
- Lung navigation in bronchoscopy
- MARIANA: Image-guided catheter navigation in the outer airways
- MEDITATE: The medical digital twin for aneurysm prevention and treatment
- MIREIA: Mixed Reality in medical Education based on Interactive Applications.
- USIGT: Norwegian national advisory unit for ultrasound and image-guided therapy
Laboratories
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Expertise
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Publications
- Automatic segmentation of mediastinal lymph nodes and blood vessels in endobronchial ultrasound (EBUS) using a deep neural network
- Prediction of guidewire-induced aortic deformations during EVAR: a finite element and in vitro study Read publication
- Learning deep abdominal CT registration through adaptive loss weighting and synthetic data generation
- Storsatsingen er i gang: Vil skape en rekke muligheter for industrien
- Bronchoscopy using a head-mounted mixed reality device—a phantom study and a first in-patient user experience
- Operating Room of the Future (FOR) Digital Healthcare Transformation in the Age of Artificial Intelligence Read publication
- A novel clip-on device for electromagnetic tracking in endobronchial ultrasound bronchoscopy
- Teacher-student approach for lung tumor segmentation from mixed-supervised datasets Read publication
- Train smarter, not harder: learning deep abdominal CT registration on scarce data
- Deep learning for image-based liver analysis — A comprehensive review focusing on malignant lesions Read publication