Publikasjoner
- Response to “Minimal Detectable Change and Reproducibility of Echocardiographic Strain: Implications for Clinical Practice”
- Automated 2-D and 3-D Left Atrial Volume Measurements Using Deep Learning
- Deep Learning for Improved Precision and Reproducibility of Left Ventricular Strain in Echocardiography: A Test-Retest Study Les publikasjonen
- Noninvasive intracranial pressure assessment by optic nerve sheath diameter: Automated measurements as an alternative to clinician-performed measurements
- Real-Time Echocardiography Guidance for Optimized Apical Standard Views Les publikasjonen
- 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
- 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