An Unrolled Implicit Regularization Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging with Convergence Guarantee

Plug-and-Play Methods for Magnetic Resonance Imaging: Using Denoisers for Image Recovery

(2020) Rizwan Ahmad et al.   IEEE SIGNAL PROCESSING MAGAZINE

Linear Predictability in Magnetic Resonance Imaging Reconstruction: Leveraging Shift-Invariant Fourier Structure for Faster and Better Imaging

(2020) Justin P. Haldar et al.   IEEE SIGNAL PROCESSING MAGAZINE

Phase-Contrast MRI: Physics, Techniques, and Clinical Applications

(2020) David T. Wymer et al.   RADIOGRAPHICS

Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR)

(2020) Aniket Pramanik et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Regularisation of neural networks by enforcing Lipschitz continuity

(2020) Henry Gouk et al.   MACHINE LEARNING

ENLIVE: An Efficient Nonlinear Method for Calibrationless and Robust Parallel Imaging

(2019) H. Christian M. Holme et al.   Scientific Reports

Learning Joint-Sparse Codes for Calibration-Free Parallel MR Imaging

(2018) Shanshan Wang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction

(2018) Jo Schlemper et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Tradeoffs Between Convergence Speed and Reconstruction Accuracy in Inverse Problems

(2018) Raja Giryes et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Exact Worst-Case Convergence Rates of the Proximal Gradient Method for Composite Convex Minimization

(2018) Adrien B. Taylor et al.   JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS

MoDL: Model Based Deep Learning Architecture for Inverse Problems

(2018)   IEEE TRANSACTIONS ON MEDICAL IMAGING

ADMM-CSNet: A Deep Learning Approach for Image Compressive Sensing

(2018) Yan Yang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Learning a variational network for reconstruction of accelerated MRI data

(2017) Kerstin Hammernik et al.   MAGNETIC RESONANCE IN MEDICINE

A parallel MR imaging method using multilayer perceptron

(2017) Kinam Kwon et al.   MEDICAL PHYSICS

The Little Engine That Could: Regularization by Denoising (RED)

(2017) Yaniv Romano et al.   SIAM Journal on Imaging Sciences

Model-driven deep-learning

(2017) Zongben Xu et al.   National Science Review

An Adaptive Directional Haar Framelet-Based Reconstruction Algorithm for Parallel Magnetic Resonance Imaging

(2016) Yan-Ran Li et al.   SIAM Journal on Imaging Sciences

P-LORAKS: Low-rank modeling of local k-space neighborhoods with parallel imaging data

(2015) Justin P. Haldar et al.   MAGNETIC RESONANCE IN MEDICINE

Proximal Algorithms in Statistics and Machine Learning

(2015) Nicholas G. Polson et al.   STATISTICAL SCIENCE

Sparse BLIP: BLind Iterative Parallel imaging reconstruction using compressed sensing

(2013) Huajun She et al.   MAGNETIC RESONANCE IN MEDICINE

ESPIRiT-an eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA

(2013) Martin Uecker et al.   MAGNETIC RESONANCE IN MEDICINE

Proximal alternating linearized minimization for nonconvex and nonsmooth problems

(2013) Jérôme Bolte et al.   MATHEMATICAL PROGRAMMING

Calibration-Less Multi-coil MR image reconstruction

(2012) Angshul Majumdar et al.   MAGNETIC RESONANCE IMAGING

Fast Algorithms for Image Reconstruction with Application to Partially Parallel MR Imaging

(2012) Yunmei Chen et al.   SIAM Journal on Imaging Sciences

Parallel reconstruction using null operations

(2011) Jian Zhang et al.   MAGNETIC RESONANCE IN MEDICINE

Parallel imaging with nonlinear reconstruction using variational penalties

(2011) Florian Knoll et al.   MAGNETIC RESONANCE IN MEDICINE

Low-dimensional-structure self-learning and thresholding: Regularization beyond compressed sensing for MRI Reconstruction

(2011) Mehmet Akçakaya et al.   MAGNETIC RESONANCE IN MEDICINE

SPIRiT: Iterative self-consistent parallel imaging reconstruction from arbitrary k-space

(2010) Michael Lustig et al.   MAGNETIC RESONANCE IN MEDICINE

Coherence regularization for SENSE reconstruction with a nonlocal operator (CORNOL)

(2010) Sheng Fang et al.   MAGNETIC RESONANCE IN MEDICINE

Proximal Alternating Minimization and Projection Methods for Nonconvex Problems: An Approach Based on the Kurdyka-Łojasiewicz Inequality

(2010) Hédy Attouch et al.   MATHEMATICS OF OPERATIONS RESEARCH

Compressed Sensing MRI

(2008) M. Lustig et al.   IEEE SIGNAL PROCESSING MAGAZINE

Image reconstruction by regularized nonlinear inversion-Joint estimation of coil sensitivities and image content

(2008) Martin Uecker et al.   MAGNETIC RESONANCE IN MEDICINE

Regularized sensitivity encoding (SENSE) reconstruction using bregman iterations

(2008) Bo Liu et al.   MAGNETIC RESONANCE IN MEDICINE