118 citations · 215 across the 10 of their papers we have counts for
10 papers
Iterative Born Solver for the Acoustic Helmholtz Equation with Heterogeneous Sound Speed and Density
Antonio Stanziola, Simon R. Arridge, Bradley E. Treeby +1
Efficient numerical solution of the acoustic Helmholtz equation in heterogeneous media remains challenging, particularly for large-scale problems with spatially-varying density - a…
Physics-Based Acoustic Holograms
Antonio Stanziola, Ben T. Cox, Bradley E. Treeby +1
Advances in additive manufacturing have enabled the realisation of inexpensive, scalable, diffractive acoustic lenses that can be used to generate complex acoustic fields via phase…
A Learned Born Series for Highly-Scattering Media
Antonio Stanziola, Simon Arridge, Ben T. Cox +1
A new method for solving the wave equation is presented, called the learned Born series (LBS), which is derived from a convergent Born Series but its components are found through t…
Transcranial ultrasound simulation with uncertainty estimation
Antonio Stanziola, José A. Pineda-Pardo, Bradley Treeby
Transcranial ultrasound simulations are increasingly used to predict in situ exposure parameters for ultrasound therapies in the brain. However, there can be considerable uncertain…
j-Wave: An open-source differentiable wave simulator
Antonio Stanziola, Simon R. Arridge, Ben T. Cox +1
We present an open-source differentiable acoustic simulator, j-Wave, which can solve time-varying and time-harmonic acoustic problems. It supports automatic differentiation, which…
Classical and learned MR to pseudo-CT mappings for accurate transcranial ultrasound simulation
Maria Miscouridou, José A. Pineda-Pardo, Charlotte J. Stagg +2
Model-based treatment planning for transcranial ultrasound therapy typically involves mapping the acoustic properties of the skull from an x-ray computed tomography (CT) image of t…
Benchmark problems for transcranial ultrasound simulation: Intercomparison of compressional wave models
Jean-Francois Aubry, Oscar Bates, Christian Boehm +19
Computational models of acoustic wave propagation are frequently used in transcranial ultrasound therapy, for example, to calculate the intracranial pressure field or to calculate…
A research framework for writing differentiable PDE discretizations in JAX
Antonio Stanziola, Simon R. Arridge, Ben T. Cox +1
Differentiable simulators are an emerging concept with applications in several fields, from reinforcement learning to optimal control. Their distinguishing feature is the ability t…
A Helmholtz equation solver using unsupervised learning: Application to transcranial ultrasound
Antonio Stanziola, Simon R. Arridge, Ben T. Cox +1
Transcranial ultrasound therapy is increasingly used for the non-invasive treatment of brain disorders. However, conventional numerical wave solvers are currently too computational…
Demonstration of Vector Flow Imaging using Convolutional Neural Networks
Thomas Robins, Antonio Stanziola, Kai Reimer +2
Synthetic Aperture Vector Flow Imaging (SA-VFI) can visualize complex cardiac and vascular blood flow patterns at high temporal resolution with a large field of view. Convolutional…