Search Results for author:
Found 3 papers, 2 papers with code
MONAI: An open-source framework for deep learning in healthcare
For AI models to be used clinically, they need to be made safe, reproducible and robust, and the underlying software framework must be aware of the particularities (e. g. geometry, physiology, physics) of medical data being processed.
Automatic ultrasound vessel segmentation with deep spatiotemporal context learning
Accurate, real-time segmentation of vessel structures in ultrasound image sequences can aid in the measurement of lumen diameters and assessment of vascular diseases.
RiWalk: Fast Structural Node Embedding via Role Identification
Learning latent representations for the roles of nodes helps to understand the network and to transfer knowledge across networks.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
