  We present simple reconstruction networks for multi-coil data by extending
deep cascade of CNN's and exploiting the data consistency layer. In particular,
we propose two variants, where one is inspired by POCSENSE and the other is
calibration-less. We show that the proposed approaches are competitive relative
to the state of the art both quantitatively and qualitatively.
