38 citations · 41 across the 3 of their papers we have counts for
3 papers
Emulating Clinical Quality Muscle B-mode Ultrasound Images from Plane Wave Images Using a Two-Stage Machine Learning Model
Reed Chen, Courtney Trutna Paley, Wren Wightman +6
Research ultrasound scanners such as the Verasonics Vantage often lack the advanced image processing algorithms used by clinical systems. Image quality is even lower in plane wave…
SweiNet: Deep Learning Based Uncertainty Quantification for Ultrasound Shear Wave Elasticity Imaging
Felix Q. Jin, Lindsey C. Carlson, Helen Feltovich +2
In ultrasound shear wave elasticity (SWE) imaging, a number of algorithms exist for estimating the shear wave speed (SWS) from spatiotemporal displacement data. However, no method…
MimickNet, Matching Clinical Post-Processing Under Realistic Black-Box Constraints
Ouwen Huang, Will Long, Nick Bottenus +3
Image post-processing is used in clinical-grade ultrasound scanners to improve image quality (e.g., reduce speckle noise and enhance contrast). These post-processing techniques var…