180 citations · 1.3k across the 95 of their papers we have counts for
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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…