180 citations · 1.3k across the 95 of their papers we have counts for
107 papers
Sparse2Inverse: Self-supervised inversion of sparse-view CT data
Nadja Gruber, Johannes Schwab, Elke Gizewski +1
Sparse-view computed tomography (CT) enables fast and low-dose CT imaging, an essential feature for patient-save medical imaging and rapid non-destructive testing. In sparse-view C…
Design, Implementation and Analysis of a Compressed Sensing Photoacoustic Projection Imaging System
Markus Haltmeier, Matthias Ye, Karoline Felbermayer +2
Significance: Compressed sensing (CS) uses special measurement designs combined with powerful mathematical algorithms to reduce the amount of data to be collected while maintaining…
Derivative-Free iterative One-Step Reconstruction for Multispectral CT
Thomas Prohaszka, Lukas Neumann, Markus Haltmeier
Image reconstruction in Multispectral Computed Tomography (MSCT) requires solving a challenging nonlinear inverse problem, commonly tackled via iterative optimization algorithms. E…
Self-Supervised Learning for Improved Calibrationless Radial MRI with NLINV-Net
Moritz Blumenthal, Chiara Fantinato, Christina Unterberg-Buchwald +3
Purpose: To develop a neural network architecture for improved calibrationless reconstruction of radial data when no ground truth is available for training. Methods: NLINV-Net is a…
Breaking the Resolution limit in Photoacoustic Imaging using Positivity and Sparsity
Peter Burgholzer, Johannes Bauer-Marschallinger, Mike Hettich +1
In this tutorial, we aim to directly recreate some of our "aha" moments when exploring the impact of heat diffusion on the spatial resolution limit of photothermal imaging. Our obj…
Heat diffusion blurs photothermal images with increasing depth
Peter Burgholzer, Günther Mayr, Gregor Thummerer +1
In this tutorial, we aim to directly recreate some of our "aha" moments when exploring the impact of heat diffusion on the spatial resolution limit of photothermal imaging. Our obj…