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20232026
most citedProvable Preconditioned Plug-and-Play Approach for Compressed Sensing MRI Reconstruction

14 citations · 20 across the 16 of their papers we have counts for

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8 papers · 1 filter

eess.IV2026

ForcingDAS: Unified and Robust Data Assimilation via Diffusion Forcing

Yixuan Jia, Siyi Chen, Yida Pan +9

Data assimilation (DA) estimates the state of an evolving dynamical system from noisy, partial observations, and is widely used in scientific simulation as well as weather and clim…

eess.IV2026

Scan-Adaptive Dynamic MRI Undersampling Using a Dictionary of Efficiently Learned Patterns

Siddhant Gautam, Angqi Li, Prachi P. Agarwal +4

Cardiac MRI is limited by long acquisition times, which can lead to patient discomfort and motion artifacts. We aim to accelerate Cartesian dynamic cardiac MRI by learning efficien…

eess.IV2025

A Convergent Generalized Krylov Subspace Method for Compressed Sensing MRI Reconstruction with Gradient-Driven Denoisers

Tao Hong, Umberto Villa, Jeffrey A. Fessler

Model-based reconstruction plays a key role in compressed sensing (CS) MRI, as it incorporates effective image regularizers to improve the quality of reconstruction. The Plug-and-P…

eess.IV2025★ 2 cited

Bilevel Optimized Implicit Neural Representation for Scan-Specific Accelerated MRI Reconstruction

Hongze Yu, Jeffrey A. Fessler, Yun Jiang

Deep Learning (DL) methods can reconstruct highly accelerated magnetic resonance imaging (MRI) scans, but they rely on application-specific large training datasets and often genera…

eess.IV2024

Using Randomized Nyström Preconditioners to Accelerate Variational Image Reconstruction

Tao Hong, Zhaoyi Xu, Jason Hu +1

Model-based iterative reconstruction plays a key role in solving inverse problems. However, the associated minimization problems are generally large-scale, nonsmooth, and sometimes…

eess.IV2024★ 1 cited

Swap-Net: A Memory-Efficient 2.5D Network for Sparse-View 3D Cone Beam CT Reconstruction

Xiaojian Xu, Marc Klasky, Michael T. McCann +2

Reconstructing 3D cone beam computed tomography (CBCT) images from a limited set of projections is an important inverse problem in many imaging applications from medicine to inerti…

eess.IV2024

Shorter SPECT Scans Using Self-supervised Coordinate Learning to Synthesize Skipped Projection Views

Zongyu Li, Yixuan Jia, Xiaojian Xu +3

Purpose: This study addresses the challenge of extended SPECT imaging duration under low-count conditions, as encountered in Lu-177 SPECT imaging, by developing a self-supervised l…

eess.IV2024★ 14 cited

Provable Preconditioned Plug-and-Play Approach for Compressed Sensing MRI Reconstruction

Tao Hong, Xiaojian Xu, Jason Hu +1

Model-based methods play a key role in the reconstruction of compressed sensing (CS) MRI. Finding an effective prior to describe the statistical distribution of the image family of…