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Learning a variational network for reconstruction of accelerated MRI data

Magnetic resonance in medicine, 2018-06, Vol.79 (6), p.3055-3071

2018

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Low-rank plus sparse matrix decomposition for accelerated dynamic MRI with separation of background and dynamic components

Magnetic resonance in medicine, 2015-03, Vol.73 (3), p.1125-1136

2015

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Assessment of the generalization of learned image reconstruction and the potential for transfer learning

Magnetic resonance in medicine, 2019-01, Vol.81 (1), p.116-128

2019

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Low rank alternating direction method of multipliers reconstruction for MR fingerprinting

Magnetic resonance in medicine, 2018-01, Vol.79 (1), p.83-96

2018

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Compressed sensing for body MRI

Journal of magnetic resonance imaging, 2017-04, Vol.45 (4), p.966-987

2017

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Combination of compressed sensing and parallel imaging for highly accelerated first-pass cardiac perfusion MRI

Magnetic resonance in medicine, 2010-09, Vol.64 (3), p.767-776

2010

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Rapid and accurate T2 mapping from multi-spin-echo data using Bloch-simulation-based reconstruction

Magnetic resonance in medicine, 2015-02, Vol.73 (2), p.809-817

2015

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Joint MR-PET Reconstruction Using a Multi-Channel Image Regularizer

IEEE transactions on medical imaging, 2017-01, Vol.36 (1), p.1-16

2017

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XD-GRASP: Golden-angle radial MRI with reconstruction of extra motion-state dimensions using compressed sensing

Magnetic resonance in medicine, 2016-02, Vol.75 (2), p.775-788

2016

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Golden-angle radial sparse parallel MRI: Combination of compressed sensing, parallel imaging, and golden-angle radial sampling for fast and flexible dynamic volumetric MRI

Magnetic resonance in medicine, 2014-09, Vol.72 (3), p.707-717

2014

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Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge

Magnetic resonance in medicine, 2020-12, Vol.84 (6), p.3054-3070

2020

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Ideal current patterns yielding optimal signal-to-noise ratio and specific absorption rate in magnetic resonance imaging: Computational methods and physical insights

Magnetic resonance in medicine, 2012-07, Vol.68 (1), p.286-304

2012

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5D whole‐heart sparse MRI

Magnetic resonance in medicine, 2018-02, Vol.79 (2), p.826-838

2018

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Free‐breathing volumetric fat/water separation by combining radial sampling, compressed sensing, and parallel imaging

Magnetic resonance in medicine, 2017-08, Vol.78 (2), p.565-576

2017

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Multiparametric imaging with heterogeneous radiofrequency fields

Nature communications, 2016-08, Vol.7 (1), p.12445-12445, Article 12445

2016

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Magnetization transfer in magnetic resonance fingerprinting

Magnetic resonance in medicine, 2020-07, Vol.84 (1), p.128-141

2020

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Optimized quantification of spin relaxation times in the hybrid state

Magnetic resonance in medicine, 2019-10, Vol.82 (4), p.1385-1397

2019

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Training a neural network for Gibbs and noise removal in diffusion MRI

Magnetic resonance in medicine, 2021-01, Vol.85 (1), p.413-428

2021

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Approaching ultimate intrinsic signal‐to‐noise ratio with loop and dipole antennas

Magnetic resonance in medicine, 2018-03, Vol.79 (3), p.1789-1803

2018

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Articular cartilage: in vivo diffusion-tensor imaging

Radiology, 2012-02, Vol.262 (2), p.550

2012

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Comparison of fitting methods and b-value sampling strategies for intravoxel incoherent motion in breast cancer

Magnetic resonance in medicine, 2015-10, Vol.74 (4), p.1077-1085

2015

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Deep Learning Reconstruction Enables Prospectively Accelerated Clinical Knee MRI

Radiology, 2023-04, Vol.307 (2), p.e220425-e220425

2023

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Value of MRI in medicine: More than just another test?

Journal of magnetic resonance imaging, 2019-06, Vol.49 (7), p.e14-e25

2019

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Computational methods for the estimation of ideal current patterns in realistic human models

Magnetic resonance in medicine, 2024-02, Vol.91 (2), p.760-772

2024

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RACER‐GRASP: Respiratory‐weighted, aortic contrast enhancement‐guided and coil‐unstreaking golden‐angle radial sparse MRI

Magnetic resonance in medicine, 2018-07, Vol.80 (1), p.77-89

2018

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Learning a variational network for reconstruction of accelerated MRI data

Low-rank plus sparse matrix decomposition for accelerated dynamic MRI with separation of background and dynamic components

Assessment of the generalization of learned image reconstruction and the potential for transfer learning

Low rank alternating direction method of multipliers reconstruction for MR fingerprinting

Compressed sensing for body MRI

Combination of compressed sensing and parallel imaging for highly accelerated first-pass cardiac perfusion MRI

Rapid and accurate T2 mapping from multi-spin-echo data using Bloch-simulation-based reconstruction

Joint MR-PET Reconstruction Using a Multi-Channel Image Regularizer

XD-GRASP: Golden-angle radial MRI with reconstruction of extra motion-state dimensions using compressed sensing

Golden-angle radial sparse parallel MRI: Combination of compressed sensing, parallel imaging, and golden-angle radial sampling for fast and flexible dynamic volumetric MRI

Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge

Ideal current patterns yielding optimal signal-to-noise ratio and specific absorption rate in magnetic resonance imaging: Computational methods and physical insights

5D whole‐heart sparse MRI

Free‐breathing volumetric fat/water separation by combining radial sampling, compressed sensing, and parallel imaging

Multiparametric imaging with heterogeneous radiofrequency fields

Magnetization transfer in magnetic resonance fingerprinting

Optimized quantification of spin relaxation times in the hybrid state

Training a neural network for Gibbs and noise removal in diffusion MRI

Approaching ultimate intrinsic signal‐to‐noise ratio with loop and dipole antennas

Articular cartilage: in vivo diffusion-tensor imaging

Comparison of fitting methods and b-value sampling strategies for intravoxel incoherent motion in breast cancer

Deep Learning Reconstruction Enables Prospectively Accelerated Clinical Knee MRI

Value of MRI in medicine: More than just another test?

Computational methods for the estimation of ideal current patterns in realistic human models

RACER‐GRASP: Respiratory‐weighted, aortic contrast enhancement‐guided and coil‐unstreaking golden‐angle radial sparse MRI

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