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Analysis of deep complex‐valued convolutional neural networks for MRI reconstruction and phase‐focused applications

Magnetic resonance in medicine, 2021-08, Vol.86 (2), p.1093-1109

2021

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Deep Generative Adversarial Neural Networks for Compressive Sensing MRI

IEEE transactions on medical imaging, 2019-01, Vol.38 (1), p.167-179

2019

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Accelerating cardiac cine MRI using a deep learning‐based ESPIRiT reconstruction

Magnetic resonance in medicine, 2021-01, Vol.85 (1), p.152-167

2021

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

Magnetic resonance in medicine, 2014-03, Vol.71 (3), p.990-1001

2014

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Coil compression for accelerated imaging with Cartesian sampling

Magnetic resonance in medicine, 2013-02, Vol.69 (2), p.571-582

2013

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Wasserstein GANs for MR Imaging: From Paired to Unpaired Training

IEEE transactions on medical imaging, 2021-01, Vol.40 (1), p.105-115

2021

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IEEE_Xplore

Reversal of epigenetic aging and immunosenescent trends in humans

Aging cell, 2019-12, Vol.18 (6), p.e13028-n/a

2019

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Improving high frequency image features of deep learning reconstructions via k‐space refinement with null‐space kernel

Magnetic resonance in medicine, 2022-09, Vol.88 (3), p.1263-1272

2022

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Editorial for “Gradual Self‐Training via Confidence and Volume Based Domain Adaptation for Multi Dataset Deep Learning‐Based Brain Metastases Detection Using Nonlocal Networks on MRI Images”

Journal of magnetic resonance imaging, 2023-06, Vol.57 (6), p.1741-1742

2023

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T2 shuffling: Sharp, multicontrast, volumetric fast spin‐echo imaging

Magnetic resonance in medicine, 2017-01, Vol.77 (1), p.180-195

2017

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Congenital heart disease assessment with 4D flow MRI

Journal of magnetic resonance imaging, 2015-10, Vol.42 (4), p.870-886

2015

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Safety and technique of ferumoxytol administration for MRI

Magnetic resonance in medicine, 2016-05, Vol.75 (5), p.2107-2111

2016

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Practical protocol for lung magnetic resonance imaging and common clinical indications

Pediatric radiology, 2022-02, Vol.52 (2), p.295-311

2022

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Ferumoxytol as an off-label contrast agent in body 3T MR angiography: a pilot study in children

Pediatric radiology, 2015-06, Vol.45 (6), p.831-839

2015

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Venous and arterial flow quantification are equally accurate and precise with parallel imaging compressed sensing 4D phase contrast MRI

Journal of magnetic resonance imaging, 2013-06, Vol.37 (6), p.1419-1426

2013

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SLfRank: Shinnar-Le-Roux Pulse Design with Reduced Energy and Accurate Phase Profiles using Rank Factorization

IEEE transactions on medical imaging, 2023-05, Vol.42 (5), p.1-1

2023

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IEEE_Xplore

Free-breathing Accelerated Cardiac MRI Using Deep Learning: Validation in Children and Young Adults

Radiology, 2021-09, Vol.300 (3), p.539-548

2021

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Automatic renal segmentation for MR urography using 3D‐GrabCut and random forests

Magnetic resonance in medicine, 2018-03, Vol.79 (3), p.1696-1707

2018

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Extreme MRI: Large‐scale volumetric dynamic imaging from continuous non‐gated acquisitions

Magnetic resonance in medicine, 2020-10, Vol.84 (4), p.1763-1780

2020

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Free-breathing pediatric MRI with nonrigid motion correction and acceleration

Journal of magnetic resonance imaging, 2015-08, Vol.42 (2), p.407-420

2015

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Deep Learning Automated Background Phase Error Correction for Abdominopelvic 4D Flow MRI

Radiology, 2022-03, Vol.302 (3), p.584-592

2022

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4D flow MRI quantification of mitral and tricuspid regurgitation: Reproducibility and consistency relative to conventional MRI

Journal of magnetic resonance imaging, 2018-10, Vol.48 (4), p.1147-1158

2018

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Robust 4D flow denoising using divergence-free wavelet transform

Magnetic resonance in medicine, 2015-02, Vol.73 (2), p.828-842

2015

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Comprehensive motion-compensated highly accelerated 4D flow MRI with ferumoxytol enhancement for pediatric congenital heart disease

Journal of magnetic resonance imaging, 2016-06, Vol.43 (6), p.1355-1368

2016

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Analysis of deep complex‐valued convolutional neural networks for MRI reconstruction and phase‐focused applications

Deep Generative Adversarial Neural Networks for Compressive Sensing MRI

Accelerating cardiac cine MRI using a deep learning‐based ESPIRiT reconstruction

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

Coil compression for accelerated imaging with Cartesian sampling

Wasserstein GANs for MR Imaging: From Paired to Unpaired Training

Reversal of epigenetic aging and immunosenescent trends in humans

Improving high frequency image features of deep learning reconstructions via k‐space refinement with null‐space kernel

Editorial for “Gradual Self‐Training via Confidence and Volume Based Domain Adaptation for Multi Dataset Deep Learning‐Based Brain Metastases Detection Using Nonlocal Networks on MRI Images”

T2 shuffling: Sharp, multicontrast, volumetric fast spin‐echo imaging

Congenital heart disease assessment with 4D flow MRI

Safety and technique of ferumoxytol administration for MRI

Practical protocol for lung magnetic resonance imaging and common clinical indications

Ferumoxytol as an off-label contrast agent in body 3T MR angiography: a pilot study in children

Venous and arterial flow quantification are equally accurate and precise with parallel imaging compressed sensing 4D phase contrast MRI

SLfRank: Shinnar-Le-Roux Pulse Design with Reduced Energy and Accurate Phase Profiles using Rank Factorization

Free-breathing Accelerated Cardiac MRI Using Deep Learning: Validation in Children and Young Adults

Automatic renal segmentation for MR urography using 3D‐GrabCut and random forests

Extreme MRI: Large‐scale volumetric dynamic imaging from continuous non‐gated acquisitions

Free-breathing pediatric MRI with nonrigid motion correction and acceleration

Deep Learning Automated Background Phase Error Correction for Abdominopelvic 4D Flow MRI

4D flow MRI quantification of mitral and tricuspid regurgitation: Reproducibility and consistency relative to conventional MRI

Current and potential imaging applications of ferumoxytol for magnetic resonance imaging

Robust 4D flow denoising using divergence-free wavelet transform

Comprehensive motion-compensated highly accelerated 4D flow MRI with ferumoxytol enhancement for pediatric congenital heart disease

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