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Low-Rank Modeling of Local k-Space Neighborhoods (LORAKS) for Constrained MRI

IEEE transactions on medical imaging, 2014-03, Vol.33 (3), p.668-681

Haldar, Justin P.

2014

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IEEE_Xplore

On Ambiguity in Linear Inverse Problems: Entrywise Bounds on Nearly Data-Consistent Solutions and Entrywise Condition Numbers

IEEE transactions on signal processing, 2023, Vol.71, p.1083-1092

Haldar, Justin P.

2023

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IEEE_Xplore

A Majorize-Minimize Framework for Rician and Non-Central Chi MR Images

IEEE transactions on medical imaging, 2015-10, Vol.34 (10), p.2191-2202

2015

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IEEE_Xplore

Childhood Music Training Induces Change in Micro and Macroscopic Brain Structure: Results from a Longitudinal Study

Cerebral cortex (New York, N.Y. 1991), 2018-12, Vol.28 (12), p.4336-4347

2018

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Quantification of increased cellularity during inflammatory demyelination

Brain (London, England : 1878), 2011-12, Vol.134 (12), p.3587-3598

2011

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Co-registration and distortion correction of diffusion and anatomical images based on inverse contrast normalization

NeuroImage (Orlando, Fla.), 2015-07, Vol.115, p.269-280

2015

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

Magnetic resonance in medicine, 2016-04, Vol.75 (4), p.1499-1514

2016

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Temporal Non-Local Means Filtering Reveals Real-Time Whole-Brain Cortical Interactions in Resting fMRI

PloS one, 2016-07, Vol.11 (7), p.e0158504-e0158504

2016

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The “hidden noise” problem in MR image reconstruction

Magnetic resonance in medicine, 2024-09, Vol.92 (3), p.982-996

2024

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In vivo magnetomotive optical molecular imaging using targeted magnetic nanoprobes

Proceedings of the National Academy of Sciences - PNAS, 2010-05, Vol.107 (18), p.8085-8090

2010

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OEDIPUS: An Experiment Design Framework for Sparsity-Constrained MRI

IEEE transactions on medical imaging, 2019-07, Vol.38 (7), p.1545-1558

2019

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IEEE_Xplore

Anatomically constrained reconstruction from noisy data

Magnetic resonance in medicine, 2008-04, Vol.59 (4), p.810-818

2008

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Fast submillimeter diffusion MRI using gSlider‐SMS and SNR‐enhancing joint reconstruction

Magnetic resonance in medicine, 2020-08, Vol.84 (2), p.762-776

2020

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Image reconstruction from highly undersampled (k, t)-space data with joint partial separability and sparsity constraints

IEEE transactions on medical imaging, 2012-09, Vol.31 (9), p.1809-1820

2012

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IEEE_Xplore

LORAKS makes better SENSE: Phase‐constrained partial fourier SENSE reconstruction without phase calibration

Magnetic resonance in medicine, 2017-03, Vol.77 (3), p.1021-1035

2017

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Diffusion‐relaxation correlation spectroscopic imaging: A multidimensional approach for probing microstructure

Magnetic resonance in medicine, 2017-12, Vol.78 (6), p.2236-2249

2017

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Optimal Experiment Design for Magnetic Resonance Fingerprinting: Cramér-Rao Bound Meets Spin Dynamics

IEEE transactions on medical imaging, 2019-03, Vol.38 (3), p.844-861

2019

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IEEE_Xplore

On the shape of convolution kernels in MRI reconstruction: Rectangles versus ellipsoids

Magnetic resonance in medicine, 2022-06, Vol.87 (6), p.2989-2996

2022

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Compressed-Sensing MRI With Random Encoding

IEEE transactions on medical imaging, 2011-04, Vol.30 (4), p.893-903

2011

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IEEE_Xplore

New Theory and Faster Computations for Subspace-Based Sensitivity Map Estimation in Multichannel MRI

IEEE transactions on medical imaging, 2024-01, Vol.43 (1), p.1-1

2024

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IEEE_Xplore

Wave‐LORAKS: Combining wave encoding with structured low‐rank matrix modeling for more highly accelerated 3D imaging

Magnetic resonance in medicine, 2019-03, Vol.81 (3), p.1620-1633

2019

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Improving parallel imaging by jointly reconstructing multi‐contrast data

Magnetic resonance in medicine, 2018-08, Vol.80 (2), p.619-632

2018

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Local perturbation responses and checkerboard tests: Characterization tools for nonlinear MRI methods

Magnetic resonance in medicine, 2021-10, Vol.86 (4), p.1873-1887

2021

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Efficient iterative solutions to complex-valued nonlinear least-squares problems with mixed linear and antilinear operators

Optimization and engineering, 2022-06, Vol.23 (2), p.749-768

2022

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Multidimensional correlation spectroscopic imaging of exponential decays: From theoretical principles to in vivo human applications

NMR in biomedicine, 2020-12, Vol.33 (12), p.e4244-n/a

2020

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Low-Rank Modeling of Local k-Space Neighborhoods (LORAKS) for Constrained MRI

On Ambiguity in Linear Inverse Problems: Entrywise Bounds on Nearly Data-Consistent Solutions and Entrywise Condition Numbers

A Majorize-Minimize Framework for Rician and Non-Central Chi MR Images

Childhood Music Training Induces Change in Micro and Macroscopic Brain Structure: Results from a Longitudinal Study

Quantification of increased cellularity during inflammatory demyelination

Co-registration and distortion correction of diffusion and anatomical images based on inverse contrast normalization

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

Temporal Non-Local Means Filtering Reveals Real-Time Whole-Brain Cortical Interactions in Resting fMRI

The “hidden noise” problem in MR image reconstruction

In vivo magnetomotive optical molecular imaging using targeted magnetic nanoprobes

OEDIPUS: An Experiment Design Framework for Sparsity-Constrained MRI

Anatomically constrained reconstruction from noisy data

Fast submillimeter diffusion MRI using gSlider‐SMS and SNR‐enhancing joint reconstruction

Image reconstruction from highly undersampled (k, t)-space data with joint partial separability and sparsity constraints

LORAKS makes better SENSE: Phase‐constrained partial fourier SENSE reconstruction without phase calibration

Diffusion‐relaxation correlation spectroscopic imaging: A multidimensional approach for probing microstructure

Optimal Experiment Design for Magnetic Resonance Fingerprinting: Cramér-Rao Bound Meets Spin Dynamics

On the shape of convolution kernels in MRI reconstruction: Rectangles versus ellipsoids

Compressed-Sensing MRI With Random Encoding

New Theory and Faster Computations for Subspace-Based Sensitivity Map Estimation in Multichannel MRI

Wave‐LORAKS: Combining wave encoding with structured low‐rank matrix modeling for more highly accelerated 3D imaging

Improving parallel imaging by jointly reconstructing multi‐contrast data

Local perturbation responses and checkerboard tests: Characterization tools for nonlinear MRI methods

Efficient iterative solutions to complex-valued nonlinear least-squares problems with mixed linear and antilinear operators

Multidimensional correlation spectroscopic imaging of exponential decays: From theoretical principles to in vivo human applications

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