Publikasjoner
- Segmentation of Non-Small Cell Lung Carcinomas: Introducing DRU-Net and Multi-Lens Distortion
- Regional Image Quality Scoring for 2-D Echocardiography Using Deep Learning
- Hardware-Independent Deep Signal Processing: A Feasibility Study in Echocardiography Les publikasjonen
- Toward Robust Cardiac Segmentation Using Graph Convolutional Networks
- Deep learning improves test–retest reproducibility of regional strain in echocardiography Les publikasjonen
- Real-time guiding by deep learning during echocardiography to reduce left ventricular foreshortening and measurement variability
- Real-time guidance by deep learning of experienced operators to improve the standardization of echocardiographic acquisitions
- Automatic measurements of left ventricular volumes and ejection fraction by artificial intelligence: clinical validation in real time and large databases Les publikasjonen
- Noninvasive intracranial pressure assessment by optic nerve sheath diameter: Automated measurements as an alternative to clinician-performed measurements Les publikasjonen
- Left-Ventricular Volume Estimation in Contrast-Enhanced Echocardiography Using Deep Learning
Annen formidling
- 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
- Regional quality estimation for echocardiography using deep learning
- Real-time segmentation of the aorta in 2D ultrasound images for detecting abdominal aorta aneurism - abstract
- Response to “Minimal Detectable Change and Reproducibility of Echocardiographic Strain: Implications for Clinical Practice”
- Deep learning in real-time ultrasound and digital pathology - From annotation and training to real-world application
- Machine learning in Echocardiography
- EchoBot: An open-source robotic ultrasound system
- EchoBot: An open-source robotic ultrasound system
- Centrelines and airways extraction from lung CT for navigated bronchoscopy: a comparison of three methods