18 citations · 20 across the 3 of their papers we have counts for
3 papers
Deep Learning as a Method for Inversion of NMR Signals
Julian B. B. Beckmann, Mick D. Mantle, Andrew J. Sederman +1
The concept of deep learning is employed for the inversion of NMR signals and it is shown that NMR signal inversion can be considered as an image-to-image regression problem, which…
Generalized Cross-Validation as a Method of Hyperparameter Search for MTGV Regularization
Julian B. B. Beckmann, Amy Sparks, Jordan A. Ward-Williams +3
The concept of generalized cross-validation (GCV) is applied to modified total generalized variation (MTGV) regularization. Current implementations of the MTGV regularization rely…
Joint reconstruction and segmentation of noisy velocity images as an inverse Navier-Stokes problem
Alexandros Kontogiannis, Scott V. Elgersma, Andrew J. Sederman +1
We formulate and solve a generalized inverse Navier-Stokes problem for the joint velocity field reconstruction and boundary segmentation of noisy flow velocity images. To regulariz…