44 citations · 46 across the 6 of their papers we have counts for
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eess.SP2020★ 2 cited
PALMNUT: An Enhanced Proximal Alternating Linearized Minimization Algorithm with Application to Separate Regularization of Magnitude and Phase
Yunsong Liu, Justin P. Haldar
We introduce a new algorithm for complex image reconstruction with separate regularization of the image magnitude and phase. This optimization problem is interesting in many differ…
eess.SP2019
Linear Predictability in MRI Reconstruction: Leveraging Shift-Invariant Fourier Structure for Faster and Better Imaging
Justin P. Haldar, Kawin Setsompop
Over the past several decades, many different types of computational imaging approaches have been proposed for improving MRI. In this paper, we provide an overview of methods that…
eess.SP2018
OEDIPUS: An Experiment Design Framework for Sparsity-Constrained MRI
Justin P. Haldar, Daeun Kim
This paper introduces a new estimation-theoretic framework for experiment design in the context of MR image reconstruction under sparsity constraints. The new framework is called O…