Publikasjoner
- Tracking-based mitral annular plane systolic excursion (MAPSE) measurement using deep learning in B-mode ultrasound Les publikasjonen
- Segmentation of parasternal long axis views using deep learning Les publikasjonen
- Real-Time Echocardiography Guidance for Optimized Apical Standard Views
- H2G-Net: A multi-resolution refinement approach for segmentation of breast cancer region in gigapixel histopathological images Les publikasjonen
- Code-Free Development and Deployment of Deep Segmentation Models for Digital Pathology Les publikasjonen
- Real-time temporal coherent left ventricle segmentation using convolutional LSTMs
- Myocardial Function Imaging in Echocardiography Using Deep Learning Les publikasjonen
- Real-time 3D left ventricle segmentation and ejection fraction using deep learning Les publikasjonen
- Annotation Web - An open-source web-based annotation tool for ultrasound images Les publikasjonen
- Real-time segmentation of blood vessels, nerves and bone in ultrasound-guided regional anesthesia using deep learning Les publikasjonen