Search Results for author:
Found 3 papers, 0 papers with code
A novel image space formalism of Fourier domain interpolation neural networks for noise propagation analysis
Noise variance maps obtained from the analytical expression correspond with those obtained via Monte-Carlo simulations, as well as via an auto-differentiation approach.
Iterative training of robust k-space interpolation networks for improved image reconstruction with limited scan specific training samples
In the iterative learning approach (termed iterative RAKI), the optimized RAKI model is initially trained using original and augmented ACS obtained from a linear parallel imaging reconstruction.
Analytic Feature Selection for Support Vector Machines
Our algorithm is based on logistic and linear regression models using these six geometric properties as predictor variables.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
