SIREM reconstructs rtMRI frames by combining an audio-driven prediction of vocal-tract structure with MRI measurements through a learnable spatial weighting map and adaptive spiral sampling.
Magnetic Resonance in Medicine: An Official Journal of the International Society for Magnetic Resonance in Medicine , volume=
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NL-RMM-GKS extends majorization-minimization and Krylov subspace recycling to nonlinear inverse problems with uncertain forward operators, offering alternating minimization, variable projection, and streaming variants for dynamic imaging.
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SIREM: Speech-Informed MRI Reconstruction with Learned Sampling
SIREM reconstructs rtMRI frames by combining an audio-driven prediction of vocal-tract structure with MRI measurements through a learnable spatial weighting map and adaptive spiral sampling.
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Nonlinear RMM-GKS for Large-Scale Dynamic and Streaming Inverse Problems with Uncertain Forward Operators
NL-RMM-GKS extends majorization-minimization and Krylov subspace recycling to nonlinear inverse problems with uncertain forward operators, offering alternating minimization, variable projection, and streaming variants for dynamic imaging.