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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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Vertebrae Segmentation in 3D CT Images Based on a Variational Framework

Recent Advances in Computational Methods and Clinical Applications for Spine Imaging, p.227-233

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

IEEE transactions on medical imaging, 2024-02, Vol.PP, p.1-1

2024

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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, 2024-07, Vol.92 (1), p.289-302

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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Attention-aware non-rigid image registration for accelerated MR imaging

IEEE transactions on medical imaging, 2024-04, p.1-1

2024

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IEEE_Xplore

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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IEEE_Xplore

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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IEEE_Xplore

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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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

Vertebrae Segmentation in 3D CT Images Based on a Variational Framework

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

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

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

Attention-aware non-rigid image registration for accelerated MR imaging

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

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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