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eess.IV2026
Consistency Models for Fast MRI Reconstruction Using Regularization by Denoising
Merve Gülle, Junno Yun, Yaşar Utku Alçalar +1
Diffusion models (DMs) have emerged as powerful generative priors for MRI reconstruction with promising results. Yet DM-based methods require extensive iterative refinement, limiti…
eess.IV2026
PnP-CM: Consistency Models as Plug-and-Play Priors for Inverse Problems
Merve Gülle, Junno Yun, YaÅar Utku Alçalar +1
Diffusion models have found extensive use in solving inverse problems, by sampling from an approximate posterior distribution of data given the measurements. Recently, consistency…
eess.IV2025
Time-Embedded Algorithm Unrolling for Computational MRI
Junno Yun, YaÅar Utku Alçalar, Mehmet Akçakaya
Algorithm unrolling methods have proven powerful for solving the regularized least squares problem in computational magnetic resonance imaging (MRI). These approaches unfold an ite…