Our algorithm combines the L-BFGS optimization scheme with a data-driven prior parameterized by a deep neural network. 
L-BFGS
Moreover, the highly ill-conditioned differential nature of the GI-CT forward operator renders the inversion from corrupted data even more cumbersome. 
GI-CT