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Found 3 papers, 1 papers with code
Experimental Validation of Ultrasound Beamforming with End-to-End Deep Learning for Single Plane Wave Imaging
We acquired a data collection designed for benchmarking data-driven plane wave imaging approaches using a realistic breast mimicking phantom and an ultrasound calibration phantom.
Simultaneous Coherent and Displacement Compounding for 2D Noninvasive Carotid Strain Imaging: a Proof of Principle Study
Previously, our group has developed a compounding technique in which the lateral displacement is estimated using tri-angulation of the axial displacement estimated from transmitting and beamforming ultrasound beams at +-20 degree.
Single Plane-Wave Imaging using Physics-Based Deep Learning
We compare our proposed data-to-image network with an image-to-image network in simulated data experiments, mimicking a medical ultrasound application.
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