Prosjekter
Kontaktperson, prosjekter
- AI-basert analyse av bilder i tannhelse (2021 - 2025)
- Beslutningsstøtte for lungekreftdiagnostikk (2020 - 2022)
- IDEAR: Forbedre kreftdiagnostikk innenfor fiberskopi (fleksibel endoskopi) ved bruk av kunstig intelligens og medisinsk robotikk (2020 - 2024)
- MEDITATE: Medisinsk "digital tvilling" for forebygging og behandling av aneurisme (2020 - 2024)
- MIREIA: "Mixed Reality" innen medisinsk utdannelse basert på interaktive applikasjoner (2020 - 2024)
- MARIANA: Bildestyrt kateternavigasjon i de ytre luftveiene (2017 - 2020)
- HiPerNav: High Performance Soft-tissue Navigation (2016 - 2020)
- Lungenavigasjon i bronkoskopi (2011 - 2021)
- USIGT: Nasjonal Kompetansetjeneste for ultralyd og bildeveiledet behandling (2011 - )
Ekspertise
Kontaktperson, ekspertise
Publikasjoner
- A New Deep Learning-Based Method for Automated Identification of Thoracic Lymph Node Stations in Endobronchial Ultrasound (EBUS): A Proof-of-Concept Study
- Segmentation of Non-Small Cell Lung Carcinomas: Introducing DRU-Net and Multi-Lens Distortion
- AeroPath: An airway segmentation benchmark dataset with challenging pathology and baseline method
- Automated segmentation of the median nerve in patients with carpal tunnel syndrome
- Comparing assisting technologies for proficiency in cardiac morphology: 3D printing and mixed reality versus CT slice images for morphological understanding of congenital heart defects by medical students
- Automatic Segmentation of Mediastinal Lymph Nodes and Blood Vessels in Endobronchial Ultrasound (EBUS) Images Using Deep Learning
- Accuracy of instrument tip position using fiber optic shape sensing for navigated bronchoscopy
- Navigated ultrasound bronchoscopy with integrated positron emission tomography—A human feasibility study
- AI-Dentify: deep learning for proximal caries detection on bitewing x-ray - HUNT4 Oral Health Study
- Learning deep abdominal CT registration through adaptive loss weighting and synthetic data generation Les publikasjonen
Annen formidling
- Nye sentre skal gi flere kliniske studier i Norge Les publikasjonen
- Registration techniques for navigation in laparoscopic surgery
- Kvantitativ måling av fettinnhold i lever med ultralyd
- Automatic segmentation of mediastinal lymph nodes and blood vessels in endobronchial ultrasound (EBUS) using a deep neural network
- Storsatsingen er i gang: Vil skape en rekke muligheter for industrien
- Operating Room of the Future: An Arena for Minimally Invasive Intervention in Trondheim, Norway
- ENDOBRONCHIAL TUMOR TARGETING USING A NOVEL ALIGNMENT OF AN OPEN-SOURCE VIRTUAL BRONCHOSCOPY PLATFORM WITH ELECTROMAGNETIC TRACKING: A MULTI-USER PRECLINICAL STUDY
- Skal utvikle ny lunge-GPS
- Navigated Retrograde Endoscopic Myotomy (REM) for the Treatment of Therapy-Resistant Achalasia
- Laparoscopic Pancreas Surgery: Image Guidance Solutions