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Self‐supervised learning of physics‐guided reconstruction neural networks without fully sampled reference data

Magnetic resonance in medicine, 2020-12, Vol.84 (6), p.3172-3191

2020

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Revisiting ℓ1-wavelet compressed-sensing MRI in the era of deep learning

Proceedings of the National Academy of Sciences - PNAS, 2022-08, Vol.119 (33), p.1

2022

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fastMRI+, Clinical pathology annotations for knee and brain fully sampled magnetic resonance imaging data

Scientific data, 2022-04, Vol.9 (1), p.152-152, Article 152

2022

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Application of Deep Neural Networks as a Prescreening Tool to Assign Individualized Absorption Models in Pharmacokinetic Analysis

Pharmaceutics, 2021-05, Vol.13 (6), p.797

2021

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Dense Recurrent Neural Networks for Accelerated MRI: History-Cognizant Unrolling of Optimization Algorithms

IEEE journal of selected topics in signal processing, 2020-10, Vol.14 (6), p.1280-1291

2020

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Signal intensity informed multi‐coil encoding operator for physics‐guided deep learning reconstruction of highly accelerated myocardial perfusion CMR

Magnetic resonance in medicine, 2023-01, Vol.89 (1), p.308-321

2023

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Multi‐mask self‐supervised learning for physics‐guided neural networks in highly accelerated magnetic resonance imaging

NMR in biomedicine, 2022-12, Vol.35 (12), p.e4798-n/a

2022

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Self-Supervised Physics-Based Deep Learning MRI Reconstruction Without Fully-Sampled Data

2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 2020, p.921-925

2020

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Efficient Training of 3D Unrolled Neural Networks for MRI Reconstruction Using Small Databases

2021 55th Asilomar Conference on Signals, Systems, and Computers, 2021, p.886-889

2021

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Low-Rank Tensor Models for Improved Multidimensional MRI: Application to Dynamic Cardiac $T_1$ Mapping

IEEE transactions on computational imaging, 2020, Vol.6, p.194-207

2020

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Ground-Truth Free Multi-Mask Self-Supervised Physics-Guided Deep Learning in Highly Accelerated MRI

2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021, p.1850-1854

2021

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Self-Supervised Physics-Guided Deep Learning Reconstruction for High-Resolution 3D LGE CMR

2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021, p.100-104

2021

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Revisiting [Formula: see text]-wavelet compressed-sensing MRI in the era of deep learning

Proceedings of the National Academy of Sciences - PNAS, 2022-08, Vol.119 (33), p.e2201062119-e2201062119

2022

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Instabilities in Conventional Multi-Coil MRI Reconstruction with Small Adversarial Perturbations

2021 55th Asilomar Conference on Signals, Systems, and Computers, 2021, p.895-899

2021

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Distributed Memory-Efficient Physics-Guided Deep Learning Reconstruction for Large-Scale 3d Non-Cartesian MRI

2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 2022, p.1-5

2022

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Improved Supervised Training of Physics-Guided Deep Learning Image Reconstruction with Multi-Masking

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, p.1150-1154

2021

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Improved Simultaneous Multi-Slice Functional MRI Using Self-supervised Deep Learning

2021 55th Asilomar Conference on Signals, Systems, and Computers, 2021, p.890-894

2021

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Low-Rank Tensor Models for Improved Multidimensional MRI: Application to Dynamic Cardiac T1 Mapping

IEEE transactions on computational imaging, 2020, Vol.6, p.194-207

2020

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Low-Rank Tensor Models for Improved Multidimensional MRI: Application to Dynamic Cardiac [Formula Omitted] Mapping

IEEE transactions on computational imaging, 2020-01, Vol.6, p.194

2020

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Scan-Specific Accelerated Mri Reconstruction Using Recurrent Neural Networks In A Regularized Self-Consistent Framework

2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), 2020, p.1-4

2020

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Low-Rank Tensor Models for Improved Multi-Dimensional MRI: Application to Dynamic Cardiac T 1 Mapping

IEEE transactions on computational imaging, 2019, Vol.6, p.194-207

2019

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Low-Rank Tensor Models for Improved Multi-Dimensional MRI: Application to Dynamic Cardiac T1 Mapping

IEEE transactions on computational imaging, 2019-01, Vol.6, p.194-207

2019

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Ultra-Sonic Sensor based Object Detection for Autonomous Vehicles

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023, p.210-218

2023

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Accelerated MRI with Deep Linear Convolutional Transform Learning

2022 IEEE 13th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), 2022, p.0197-0201

2022

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High-fidelity Database-free Deep Learning Reconstruction for Real-time Cine Cardiac MRI

2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2023, Vol.2023, p.1-4

2023

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Self‐supervised learning of physics‐guided reconstruction neural networks without fully sampled reference data

Revisiting ℓ1-wavelet compressed-sensing MRI in the era of deep learning

fastMRI+, Clinical pathology annotations for knee and brain fully sampled magnetic resonance imaging data

Application of Deep Neural Networks as a Prescreening Tool to Assign Individualized Absorption Models in Pharmacokinetic Analysis

Dense Recurrent Neural Networks for Accelerated MRI: History-Cognizant Unrolling of Optimization Algorithms

Signal intensity informed multi‐coil encoding operator for physics‐guided deep learning reconstruction of highly accelerated myocardial perfusion CMR

Multi‐mask self‐supervised learning for physics‐guided neural networks in highly accelerated magnetic resonance imaging

Self-Supervised Physics-Based Deep Learning MRI Reconstruction Without Fully-Sampled Data

Efficient Training of 3D Unrolled Neural Networks for MRI Reconstruction Using Small Databases

Low-Rank Tensor Models for Improved Multidimensional MRI: Application to Dynamic Cardiac $T_1$ Mapping

Ground-Truth Free Multi-Mask Self-Supervised Physics-Guided Deep Learning in Highly Accelerated MRI

Self-Supervised Physics-Guided Deep Learning Reconstruction for High-Resolution 3D LGE CMR

Revisiting [Formula: see text]-wavelet compressed-sensing MRI in the era of deep learning

Instabilities in Conventional Multi-Coil MRI Reconstruction with Small Adversarial Perturbations

Distributed Memory-Efficient Physics-Guided Deep Learning Reconstruction for Large-Scale 3d Non-Cartesian MRI

Improved Supervised Training of Physics-Guided Deep Learning Image Reconstruction with Multi-Masking

Improved Simultaneous Multi-Slice Functional MRI Using Self-supervised Deep Learning

Low-Rank Tensor Models for Improved Multidimensional MRI: Application to Dynamic Cardiac T1 Mapping

Low-Rank Tensor Models for Improved Multidimensional MRI: Application to Dynamic Cardiac [Formula Omitted] Mapping

Scan-Specific Accelerated Mri Reconstruction Using Recurrent Neural Networks In A Regularized Self-Consistent Framework

Low-Rank Tensor Models for Improved Multi-Dimensional MRI: Application to Dynamic Cardiac T 1 Mapping

Low-Rank Tensor Models for Improved Multi-Dimensional MRI: Application to Dynamic Cardiac T1 Mapping

Ultra-Sonic Sensor based Object Detection for Autonomous Vehicles

Accelerated MRI with Deep Linear Convolutional Transform Learning

High-fidelity Database-free Deep Learning Reconstruction for Real-time Cine Cardiac MRI

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