4 papers
Deep Bayesian REFoCUS
Simon Penninga, Ruud van Sloun
In this work we formulate ultrasound multistatic recovery from arbitrary transmit sequences as a Bayesian inference problem. To that end, we train a deep generative prior on multis…
Iterative Amortized Hierarchical VAE
Simon W. Penninga, Ruud J. G. van Sloun
In this paper we propose the Iterative Amortized Hierarchical Variational Autoencoder (IA-HVAE), which expands on amortized inference with a hybrid scheme containing an initial amo…
zea: A Toolbox for Cognitive Ultrasound Imaging
Tristan S. W. Stevens, Wessel L. van Nierop, Ben Luijten +7
We present zea (pronounced ze-yah), a Python package for cognitive ultrasound imaging that offers a flexible, modular, and differentiable pipeline for ultrasound data processing. A…
Deep Sylvester Posterior Inference for Adaptive Compressed Sensing in Ultrasound Imaging
Simon W. Penninga, Hans van Gorp, Ruud J. G. van Sloun
Ultrasound images are commonly formed by sequential acquisition of beam-steered scan-lines. Minimizing the number of required scan-lines can significantly enhance frame rate, field…