Flere publikasjoner
- At the Decision Point before Scintigraphy: Artificial Intelligence–Echo in Suspected Transthyretin Cardiac Amyloidosis
- Ea/Ees and oscillatory power fraction capture complementary but distinct components of ventriculoarterial coupling: a porcine study
- Fully automated deep learning MAPSE: retrospective analysis and real-time clinical application
- Non-invasive cardiac power measurements in decompensated heart failure in elderly adults: A prospective proof-of-concept study
- Unveiling the future: deep learning redefines strain analysis in paediatric cardiology
- Artificial intelligence for left ventricular strain
- Deep Learning Segmentation and Quantification of the Left Ventricle from the Parasternal Short-Axis View in Echocardiography Les publikasjonen
- Regional Image Quality Scoring for 2-D Echocardiography Using Deep Learning Les publikasjonen
- Real-Time Global Longitudinal Strain During Echocardiography: A Deep Learning Platform for Improved Workflow Les publikasjonen
- Low Complexity Point Tracking of the Myocardium in 2D Echocardiography Les publikasjonen
Annen formidling
- Fully automated deep learning echocardiographic strain model for vessel specific detection of coronary occlusion
- Advancing myocardial work assessment: reference values, pressure–strain-loop morphology, and AI-driven automation
- Robotic ultrasound for medical applications on aorta, kidney, and thyroid
- Deep learning segmentation and quantification of the left ventricle from the parasternal short axis view
- Speckle Tracking Echocardiography using Point Tracking: A Paradigm Shift?
- How can AI provide new insights into normality in cardiac imaging?
- Norsk KI-forskning trekkes frem som verdensledende
- Trekkes frem som verdensledende
- One strain to rule them all? Inter-vendor variability in global longitudinal strain—progress made, challenges remain
- Taming Modern Point Tracking for Speckle Tracking Echocardiography via Impartial Motion