42 citations · 61 across the 8 of their papers we have counts for
8 papers
Locally-Supervised Global Image Restoration
Benjamin Walder, Daniel Toader, Robert Nuster +5
We address the problem of image reconstruction from incomplete measurements, encompassing both upsampling and inpainting, within a learning-based framework. Conventional supervised…
Photoacoustic microscopy with meta-optics
Dorian S. H. Brandmüller, David Grafinger, Robert Nuster +3
Recent advances in the miniaturization of optical elements have led to the emergence of novel imaging systems, used for industrial and consumer-based applications. The underlying m…
Full Field Inversion of the Attenuated Wave Equation: Theory and Numerical Inversion
Ngoc Do, Markus Haltmeier, Richard Kowar +2
Standard photoacoustic tomography (PAT) provides data that consist of time-dependent signals governed by the wave equation, which are measured on an observation surface. In contras…
Photoacoustic image reconstruction via deep learning
Stephan Antholzer, Johannes Schwab, Robert Nuster +1
Applying standard algorithms to sparse data problems in photoacoustic tomography (PAT) yields low-quality images containing severe under-sampling artifacts. To some extent, these a…
Photoacoustic image reconstruction from full field data in heterogeneous media
Markus Haltmeier, Gerhard Zangerl, Robert Nuster +1
We consider image reconstruction in full-field photoacoustic tomography, where 2D projections of the full 3D acoustic pressure distribution at a given time T>0 are collected. We di…
Deep Learning of truncated singular values for limited view photoacoustic tomography
Johannes Schwab, Stephan Antholzer, Robert Nuster +2
We develop a data-driven regularization method for the severely ill-posed problem of photoacoustic image reconstruction from limited view data. Our approach is based on the regular…
Full field inversion in photoacoustic tomography with variable sound speed
Gerhard Zangerl, Markus Haltmeier, Linh V. Nguyen +1
Recently, a novel measurement setup has been introduced to photoacoustic tomography, that collects data in the form of projections of the full 3D acoustic pressure distribution at…
Real-time photoacoustic projection imaging using deep learning
Johannes Schwab, Stephan Antholzer, Robert Nuster +1
Photoacoustic tomography (PAT) is an emerging and non-invasive hybrid imaging modality for visualizing light absorbing structures in biological tissue. The recently invented PAT sy…