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20192022
most citedScan Specific Artifact Reduction in K-space (SPARK) Neural Networks Synergize with Physics-based Reconstruction to Accelerate MRI

37 citations · 46 across the 3 of their papers we have counts for

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eess.SP2022★ 8 cited

Latent Signal Models: Learning Compact Representations of Signal Evolution for Improved Time-Resolved, Multi-contrast MRI

Yamin Arefeen, Junshen Xu, Molin Zhang +5

Purpose: Training auto-encoders on simulated signal evolution and inserting the decoder into the forward model improves reconstructions through more compact, Bloch-equation-based r…