Closed akemisetti closed 3 years ago
Hello @akemisetti, practically, this shouldn't cause any difference. It just flips the sign of the weights. I checked and this is how the code was originally committed.
Since the published model weights that we have expect the current behavior, we won't be changing this.
Closing for now.
The VarNetBlock is in line with the paper "End-to-End Variational Networks for Accelerated MRI Reconstruction" except for one part.
The equation for the cascade says
But in the code
return current_kspace - soft_dc - model_term
model_term is subtracted in the code but in the paper, the refinement module is added to the current_kspace in every iteration.
It looks like I am missing something in the implementation. Can you please explain.