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Found 4 papers, 1 papers with code
Plane Wave Elastography: A Frequency-Domain Ultrasound Shear Wave Elastography Approach
Currently, commercial methods for SWE rely on directional filtering based on the prior knowledge of the wave propagation direction, to remove complicated wave patterns formed due to reflection and refraction.
VarNet: Variational Neural Networks for the Solution of Partial Differential Equations
In this paper we propose a new model-based unsupervised learning method, called VarNet, for the solution of partial differential equations (PDEs) using deep neural networks (NNs).
Deep Learning for Robotic Mass Transport Cloaking
Unlike passive cloaking methods that use metamaterials to steer the mass flux, our method is the first to use mobile robots to actively control the concentration levels and create safe zones independent of environmental conditions.
Physics-Based Learning for Robotic Environmental Sensing
We propose a physics-based method to learn environmental fields (EFs) using a mobile robot.
