347 citations · 642 across the 16 of their papers we have counts for
7 papers · 1 filter
Parallel-in-Time Solutions with Random Projection Neural Networks
Marta M. Betcke, Lisa Maria Kreusser, Davide Murari
This paper considers one of the fundamental parallel-in-time methods for the solution of ordinary differential equations, Parareal, and extends it by adopting a neural network as a…
Hamilton-Green solver for the forward and adjoint problems in photoacoustic tomography
Francesc Rullan, Marta M. Betcke
The majority of the solvers for the acoustic problem in Photoacoustic Tomography (PAT) rely on full solution of the wave equation which makes them less suitable for real-time and d…
Enhancing Compressed Sensing 4D Photoacoustic Tomography by Simultaneous Motion Estimation
Felix Lucka, Nam Huynh, Marta Betcke +4
A crucial limitation of current high-resolution 3D photoacoustic tomography (PAT) devices that employ sequential scanning is their long acquisition time. In previous work, we demon…
Acoustic Wave Field Reconstruction from Compressed Measurements with Application in Photoacoustic Tomography
Marta M. Betcke, Ben T. Cox, Nam Huynh +3
We present a method for the recovery of compressively sensed acoustic fields using patterned, instead of point-by-point, detection. From a limited number of such compressed measure…
On the Adjoint Operator in Photoacoustic Tomography
Simon R. Arridge, Marta M. Betcke, Ben T. Cox +2
Photoacoustic Tomography (PAT) is an emerging biomedical "imaging from coupled physics" technique, in which the image contrast is due to optical absorption, but the information is…
Multi-Contrast MRI Reconstruction with Structure-Guided Total Variation
Matthias J. Ehrhardt, Marta M. Betcke
Magnetic resonance imaging (MRI) is a versatile imaging technique that allows different contrasts depending on the acquisition parameters. Many clinical imaging studies acquire MRI…
A priorconditioned LSQR algorithm for linear ill-posed problems with edge-preserving regularization
Simon R. Arridge, Marta M. Betcke, Lauri Harhanen
This article presents a method for solving large-scale linear inverse problems regular- ized with a nonlinear, edge-preserving penalty term such as the total variation or Perona-Ma…