2 papers
physics.med-ph2024
Enhancing signal detectability in learning-based CT reconstruction with a model observer inspired loss function
Megan Lantz, Emil Y. Sidky, Ingrid S. Reiser +2
Deep neural networks used for reconstructing sparse-view CT data are typically trained by minimizing a pixel-wise mean-squared error or similar loss function over a set of training…
math.NA2016
A Fast Algorithm for Convolutional Structured Low-Rank Matrix Recovery
Greg Ongie, Mathews Jacob
Fourier domain structured low-rank matrix priors are emerging as powerful alternatives to traditional image recovery methods such as total variation and wavelet regularization. The…