Xiaosheng Zhuang

A Bilevel Sensitivity-Corrected Reconstruction Framework with Deep Priors for Parallel MRI

A model-driven bilevel optimization framework that couples SENSE-based image reconstruction with SPIRiT-based k-space calibration through shared CSMs, and introduces a deep-prior-guided regularization strategy that preserves the structure of classical linear regularizers while adaptively learning spatially varying regularization weights from denoised intermediate reconstructions.