AI RESEARCH
Weakly Convex Ridge Regularization for 3D Non-Cartesian MRI Reconstruction
arXiv CS.LG
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ArXi:2603.27158v1 Announce Type: cross While highly accelerated non-Cartesian acquisition protocols significantly reduce scan time, they often entail long reconstruction delays. Deep learning based reconstruction methods can alleviate this, but often lack stability and robustness to distribution shifts. As an alternative, we train a rotation invariant weakly convex ridge regularizer