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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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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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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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Cardiac MR: From Theory to Practice

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

2022

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

2024

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Motion-Compensated MR CINE Reconstruction With Reconstruction-Driven Motion Estimation

IEEE transactions on medical imaging, 2024-07, Vol.43 (7), p.2420-2433

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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Attention-Aware Non-Rigid Image Registration for Accelerated MR Imaging

IEEE transactions on medical imaging, 2024-08, Vol.43 (8), p.3013-3026

2024

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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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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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Efficient Image Registration Network for Non-Rigid Cardiac Motion Estimation

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

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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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Embedding Gradient-Based Optimization in Image Registration Networks

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, p.56-65

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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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Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation

Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, p.149-159

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NISF: Neural Implicit Segmentation Functions

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023, p.734-744

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Automatic Intervertebral Disc Localization and Segmentation in 3D MR Images Based on Regression Forests and Active Contours

Computational Methods and Clinical Applications for Spine Imaging, p.130-140

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Physics-Aware Motion Simulation For T2-Weighted Brain MRI

Simulation and Synthesis in Medical Imaging, 2023, Vol.14288, p.42-52

2023

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Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge

Machine Learning for Medical Image Reconstruction, p.25-34

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Propagation and Attribution of Uncertainty in Medical Imaging Pipelines

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2023, p.1-11

2023

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Learning a variational network for reconstruction of accelerated MRI data

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

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

Cardiac MR: From Theory to Practice

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

Motion-Compensated MR CINE Reconstruction With Reconstruction-Driven Motion Estimation

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

Attention-Aware Non-Rigid Image Registration for Accelerated MR Imaging

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

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

Efficient Image Registration Network for Non-Rigid Cardiac Motion Estimation

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

Embedding Gradient-Based Optimization in Image Registration Networks

A multi-center milestone study of clinical vertebral CT segmentation

Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation

NISF: Neural Implicit Segmentation Functions

Automatic Intervertebral Disc Localization and Segmentation in 3D MR Images Based on Regression Forests and Active Contours

Physics-Aware Motion Simulation For T2-Weighted Brain MRI

Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge

Propagation and Attribution of Uncertainty in Medical Imaging Pipelines

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