58 citations · 174 across the 19 of their papers we have counts for
6 papers · 1 filter
Ultrasound Operator Guidance Using World Modeling and Retrieval Based Action Planning
Noortje I. P. Schueler, Hans van Gorp, Ruud J. G. van Sloun
Ultrasound is widely used, but acquisition quality is heavily dependent on the operator's knowledge and expertise. With demand for examinations outpacing the supply of trained sono…
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…
Deep Variational Sequential Monte Carlo for High-Dimensional Observations
Wessel L. van Nierop, Nir Shlezinger, Ruud J. G. van Sloun
Sequential Monte Carlo (SMC), or particle filtering, is widely used in nonlinear state-space systems, but its performance often suffers from poorly approximated proposal and state-…
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning
Iris A. M. Huijben, Wouter Kool, Max B. Paulus +1
The Gumbel-max trick is a method to draw a sample from a categorical distribution, given by its unnormalized (log-)probabilities. Over the past years, the machine learning communit…
Dynamic Probabilistic Pruning: A general framework for hardware-constrained pruning at different granularities
Lizeth Gonzalez-Carabarin, Iris A. M. Huijben, Bastiaan S. Veeling +2
Unstructured neural network pruning algorithms have achieved impressive compression rates. However, the resulting - typically irregular - sparse matrices hamper efficient hardware…
Deep Unfolded Robust PCA with Application to Clutter Suppression in Ultrasound
Oren Solomon, Regev Cohen, Yi Zhang +5
Contrast enhanced ultrasound is a radiation-free imaging modality which uses encapsulated gas microbubbles for improved visualization of the vascular bed deep within the tissue. It…