58 citations · 147 across the 8 of their papers we have counts for
3 papers · 1 filter
Adaptive Ultrasound Beamforming using Deep Learning
Ben Luijten, Regev Cohen, Frederik J. de Bruijn +4
Biomedical imaging is unequivocally dependent on the ability to reconstruct interpretable and high-quality images from acquired sensor data. This reconstruction process is pivotal…
Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging
Iris A. M. Huijben, Bastiaan S. Veeling, Kees Janse +2
Limitations on bandwidth and power consumption impose strict bounds on data rates of diagnostic imaging systems. Consequently, the design of suitable (i.e. task- and data-aware) co…
Synthetic Elastography using B-mode Ultrasound through a Deep Fully-Convolutional Neural Network
R. R. Wildeboer, R. J. G. van Sloun, C. K. Mannaerts +5
Shear-wave elastography (SWE) permits local estimation of tissue elasticity, an important imaging marker in biomedicine. This recently-developed, advanced technique assesses the sp…