More publications
- Unveiling the future: deep learning redefines strain analysis in paediatric cardiology
- Deep Learning Segmentation and Quantification of the Left Ventricle from the Parasternal Short-Axis View in Echocardiography Read the publication
- Real-time guidance and automated measurements using deep learning to improve echocardiographic assessment of left ventricular size and function Read the publication
- Low Complexity Point Tracking of the Myocardium in 2D Echocardiography Read the publication
- The impact of heart rate on echocardiographic measures of left ventricular function: Novel insights facilitated by deep learning Read the publication
- Real-time deep learning-based image guiding and automated left ventricular measurements to reduce test-retest variability Read the publication
- Real-Time Global Longitudinal Strain During Echocardiography: A Deep Learning Platform for Improved Workflow
- Intraventricular Pressure Difference Estimation based on Blood Speckle Tracking - Invasive Validation and Early Clinical Application Read the publication
- Echocardiographic Reference Ranges of Myocardial Work Indices from the HUNT4Echo Study Read the publication
- Challenges and Strategies for Deep Learning in Cardiovascular Imaging Read the publication
Other
- Taming Modern Point Tracking for Speckle Tracking Echocardiography via Impartial Motion
- One strain to rule them all? Inter-vendor variability in global longitudinal strain—progress made, challenges remain
- Novel automated quality indicators for echocardiography and their importance for left ventricular strain
- Seeing the Invisible With Ultrasomics: Transforming Myocardial Tissue Characterization or Just Another Layer of Complexity?
- Trekkes frem som verdensledende
- Norsk KI-forskning trekkes frem som verdensledende
- Speckle Tracking Echocardiography using Point Tracking: A Paradigm Shift?
- The importance of heart rate on left ventricular global longitudinal strain in echocardiography: novel insights facilitated by automated deep learning methods
- The effect of deep learning guidance and automated measurements on the reproducibility of left ventricular ejection fraction and global longitudinal strain in breast cancer patients receiving trastuzumab
- Regional quality estimation for echocardiography using deep learning