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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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Variational Networks: Connecting Variational Methods and Deep Learning

Pattern Recognition, p.281-293

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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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CINENet: deep learning-based 3D cardiac CINE MRI reconstruction with multi-coil complex-valued 4D spatio-temporal convolutions

Scientific reports, 2020-08, Vol.10 (1), p.13710-13710, Article 13710

2020

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CG‐SENSE revisited: Results from the first ISMRM reproducibility challenge

Magnetic resonance in medicine, 2021-04, Vol.85 (4), p.1821-1839

2021

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Rapid mono and biexponential 3D-T1ρ mapping of knee cartilage using variational networks

Scientific reports, 2020-11, Vol.10 (1), p.19144-19144, Article 19144

2020

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Cardiac MR: From Theory to Practice

Frontiers in cardiovascular medicine, 2022-03, Vol.9, p.826283-826283

2022

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Self-Supervised Motion-Corrected Image Reconstruction Network for 4D Magnetic Resonance Imaging of the Body Trunk

APSIPA transactions on signal and information processing, 2022-01, Vol.11 (1)

2022

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Reconstruction-driven motion estimation for motion-compensated MR CINE imaging

IEEE transactions on medical imaging, 2024-02, Vol.PP

2024

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Systematic evaluation of iterative deep neural networks for fast parallel MRI reconstruction with sensitivity‐weighted coil combination

Magnetic resonance in medicine, 2021-10, Vol.86 (4), p.1859-1872

2021

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Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction

IEEE transactions on medical imaging, 2022-02, Vol.41 (2), p.279-291

2022

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Predictive uncertainty in deep learning-based MR image reconstruction using deep ensembles: Evaluation on the fastMRI data set

Magnetic resonance in medicine, 2024-01

2024

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Unrolled and rapid motion-compensated reconstruction for cardiac CINE MRI

Medical image analysis, 2024-01, Vol.91, p.103017-103017, Article 103017

2024

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Deep Learning for Retrospective Motion Correction in MRI: A Comprehensive Review

IEEE transactions on medical imaging, 2024-02, Vol.43 (2), p.1-1

2024

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Single‐heartbeat cardiac cine imaging via jointly regularized nonrigid motion‐corrected reconstruction

NMR in biomedicine, 2023-09, Vol.36 (9), p.e4942-n/a

2023

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Rapid estimation of 2D relative B1+‐maps from localizers in the human heart at 7T using deep learning

Magnetic resonance in medicine, 2023-03, Vol.89 (3), p.1002-1015

2023

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Complementary time‐frequency domain networks for dynamic parallel MR image reconstruction

Magnetic resonance in medicine, 2021-12, Vol.86 (6), p.3274-3291

2021

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Motion-Guided Physics-Based Learning for Cardiac MRI Reconstruction

2021 55th Asilomar Conference on Signals, Systems, and Computers, 2021, p.900-907

2021

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A Deep Learning-based Integrated Framework for Quality-aware Undersampled Cine Cardiac MRI Reconstruction and Analysis

IEEE transactions on biomedical engineering, 2024-03, Vol.71 (3), p.1-11

2024

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Long-Term Cognitive Outcome Prediction in Stroke Patients Using Multi-task Learning on Imaging and Tabular Data

Predictive Intelligence in Medicine, 2022, p.137-148

2022

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Rapid mono and biexponential 3D-T 1ρ mapping of knee cartilage using variational networks

Scientific reports, 2020-11, Vol.10 (1), p.19144

2020

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Efficient Image Registration Network for Non-Rigid Cardiac Motion Estimation

Machine Learning for Medical Image Reconstruction, p.14-24

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A multi-center milestone study of clinical vertebral CT segmentation

Computerized medical imaging and graphics, 2016-04, Vol.49, p.16-28

2016

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Rapid estimation of 2D relative B 1 + -maps from localizers in the human heart at 7T using deep learning

Magnetic resonance in medicine, 2023-03, Vol.89 (3), p.1002-1015

2023

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Learning-Based and Unrolled Motion-Compensated Reconstruction for Cardiac MR CINE Imaging

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, p.686-696

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Learning a variational network for reconstruction of accelerated MRI data

Variational Networks: Connecting Variational Methods and Deep Learning

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

CINENet: deep learning-based 3D cardiac CINE MRI reconstruction with multi-coil complex-valued 4D spatio-temporal convolutions

CG‐SENSE revisited: Results from the first ISMRM reproducibility challenge

Rapid mono and biexponential 3D-T1ρ mapping of knee cartilage using variational networks

Cardiac MR: From Theory to Practice

Self-Supervised Motion-Corrected Image Reconstruction Network for 4D Magnetic Resonance Imaging of the Body Trunk

Reconstruction-driven motion estimation for motion-compensated MR CINE imaging

Systematic evaluation of iterative deep neural networks for fast parallel MRI reconstruction with sensitivity‐weighted coil combination

Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction

Predictive uncertainty in deep learning-based MR image reconstruction using deep ensembles: Evaluation on the fastMRI data set

Unrolled and rapid motion-compensated reconstruction for cardiac CINE MRI

Deep Learning for Retrospective Motion Correction in MRI: A Comprehensive Review

Single‐heartbeat cardiac cine imaging via jointly regularized nonrigid motion‐corrected reconstruction

Rapid estimation of 2D relative B1+‐maps from localizers in the human heart at 7T using deep learning

Complementary time‐frequency domain networks for dynamic parallel MR image reconstruction

Motion-Guided Physics-Based Learning for Cardiac MRI Reconstruction

A Deep Learning-based Integrated Framework for Quality-aware Undersampled Cine Cardiac MRI Reconstruction and Analysis

Long-Term Cognitive Outcome Prediction in Stroke Patients Using Multi-task Learning on Imaging and Tabular Data

Rapid mono and biexponential 3D-T 1ρ mapping of knee cartilage using variational networks

Efficient Image Registration Network for Non-Rigid Cardiac Motion Estimation

A multi-center milestone study of clinical vertebral CT segmentation

Rapid estimation of 2D relative B 1 + -maps from localizers in the human heart at 7T using deep learning

Learning-Based and Unrolled Motion-Compensated Reconstruction for Cardiac MR CINE Imaging

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