Fig. 1. Joint MAPLE framework.

Joint ZS-SSL reconstructs under-sampled multi-echo, multi-flip angle k-space data (recon block) and multi-parameter signal model generates synthetic images using the unknown MR maps (model block). Matching reconstructed and synthesized contrasts form ${Loss}_1$ and matching k-space related to the synthetic images (using the forward model A) and acquired data forms ${Loss}_2$. The unknown MR parameters are estimated in a plug-and-play manner between recon and model block with minimization of Loss function, which is a scaled summation of ${Loss}_1,{Loss}_2$ and the training loss term of the joint ZS-SSL network ${Loss}_R$.