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Integrating data distribution prior via Langevin dynamics for end‐to‐end MR reconstruction

Magnetic resonance in medicine, 2024-07, Vol.92 (1), p.202-214

2024

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Annihilation‐Net: Learned annihilation relation for dynamic MR imaging

Medical physics (Lancaster), 2024-03, Vol.51 (3), p.1883-1898

2024

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Accelerated submillimeter wave‐encoded magnetic resonance imaging via deep untrained neural network

Medical physics (Lancaster), 2023-12, Vol.50 (12), p.7684-7699

2023

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Characteristic‐constrained accelerating MR T1rho mapping with blockwise infimal convolution of matrix elastic‐net regularization

Medical physics (Lancaster), 2023-04, Vol.50 (4), p.2224-2238

2023

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Joint Image Reconstruction and Super-Resolution for Accelerated Magnetic Resonance Imaging

Bioengineering (Basel), 2023-09, Vol.10 (9), p.1107

2023

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Deep Manifold Learning for Dynamic MR Imaging

IEEE transactions on computational imaging, 2021, Vol.7, p.1314-1327

2021

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Learned Low-Rank Priors in Dynamic MR Imaging

IEEE transactions on medical imaging, 2021-12, Vol.40 (12), p.3698-3710

2021

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Learning Data Consistency and its Application to Dynamic MR Imaging

IEEE transactions on medical imaging, 2021-11, Vol.40 (11), p.3140-3153

2021

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Deep low-Rank plus sparse network for dynamic MR imaging

Medical image analysis, 2021-10, Vol.73, p.102190-102190, Article 102190

2021

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Momentum methods for stochastic optimization over time-varying directed networks

Signal processing, 2020-09, Vol.174, p.107614, Article 107614

2020

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High-Frequency Space Diffusion Model for Accelerated MRI

IEEE transactions on medical imaging, 2024-05, Vol.43 (5), p.1853-1865

2024

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Deep unfolding as iterative regularization for imaging inverse problems

Inverse problems, 2024-02, Vol.40 (2), p.25011

2024

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A “Nonconvex+Nonconvex” approach for image restoration with impulse noise removal

Applied Mathematical Modelling, 2018-10, Vol.62, p.254-271

2018

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Equilibrated Zeroth-Order Unrolled Deep Network for Parallel MR Imaging

IEEE transactions on medical imaging, 2023-12, Vol.42 (12), p.3540-3554

2023

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Accelerated cardiac cine MRI using spatiotemporal correlation-based hybrid plug-and-play priors (SEABUS)

Physics in medicine & biology, 2022-11, Vol.67 (21), p.215008

2022

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K-UNN: k-space interpolation with untrained neural network

Medical image analysis, 2023-08, Vol.88, p.102877-102877, Article 102877

2023

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Accelerating Magnetic Resonance T1ρ Mapping Using Simultaneously Spatial Patch-based and Parametric Group-based Low-rank Tensors (SMART)

IEEE transactions on medical imaging, 2023-08, Vol.42 (8), p.1-1

2023

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A Two-Stage Generative Model with CycleGAN and Joint Diffusion for MRI-based Brain Tumor Detection

IEEE journal of biomedical and health informatics, 2024-06, Vol.28 (6), p.3534-3544

2024

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Synthesizing PET images from high‐field and ultra‐high‐field MR images using joint diffusion attention model

Medical physics (Lancaster), 2024-08, Vol.51 (8), p.5250-5269

2024

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PEARL: Cascaded Self-supervised Cross-fusion Learning For Parallel MRI Acceleration

IEEE journal of biomedical and health informatics, 2023-12, Vol.PP, p.1-12

2023

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DPP: deep phase prior for parallel imaging with wave encoding

Physics in medicine & biology, 2024-05, Vol.69 (10), p.105013

2024

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A nonconvex nonsmooth regularization method for compressed sensing and low rank matrix completion

Digital signal processing, 2017-03, Vol.62, p.101-111

2017

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A nonconvex nonsmooth regularization method with structure tensor total variation

Journal of visual communication and image representation, 2017-02, Vol.43, p.30-40

2017

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Accelerating the 3D T1ρ mapping of cartilage using a signal-compensated robust tensor principal component analysis model

Quantitative imaging in medicine and surgery, 2021-08, Vol.11 (8), p.3376-3391

2021

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Joint diffusion: mutual consistency-driven diffusion model for PET-MRI co-reconstruction

Physics in medicine & biology, 2024-08, Vol.69 (15), p.155019

2024

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Integrating data distribution prior via Langevin dynamics for end‐to‐end MR reconstruction

Annihilation‐Net: Learned annihilation relation for dynamic MR imaging

Accelerated submillimeter wave‐encoded magnetic resonance imaging via deep untrained neural network

Characteristic‐constrained accelerating MR T1rho mapping with blockwise infimal convolution of matrix elastic‐net regularization

Joint Image Reconstruction and Super-Resolution for Accelerated Magnetic Resonance Imaging

Deep Manifold Learning for Dynamic MR Imaging

Learned Low-Rank Priors in Dynamic MR Imaging

Learning Data Consistency and its Application to Dynamic MR Imaging

Deep low-Rank plus sparse network for dynamic MR imaging

Momentum methods for stochastic optimization over time-varying directed networks

High-Frequency Space Diffusion Model for Accelerated MRI

Deep unfolding as iterative regularization for imaging inverse problems

A “Nonconvex+Nonconvex” approach for image restoration with impulse noise removal

Equilibrated Zeroth-Order Unrolled Deep Network for Parallel MR Imaging

Accelerated cardiac cine MRI using spatiotemporal correlation-based hybrid plug-and-play priors (SEABUS)

K-UNN: k-space interpolation with untrained neural network

Accelerating Magnetic Resonance T1ρ Mapping Using Simultaneously Spatial Patch-based and Parametric Group-based Low-rank Tensors (SMART)

A Two-Stage Generative Model with CycleGAN and Joint Diffusion for MRI-based Brain Tumor Detection

Synthesizing PET images from high‐field and ultra‐high‐field MR images using joint diffusion attention model

PEARL: Cascaded Self-supervised Cross-fusion Learning For Parallel MRI Acceleration

DPP: deep phase prior for parallel imaging with wave encoding

A nonconvex nonsmooth regularization method for compressed sensing and low rank matrix completion

A nonconvex nonsmooth regularization method with structure tensor total variation

Accelerating the 3D T1ρ mapping of cartilage using a signal-compensated robust tensor principal component analysis model

Joint diffusion: mutual consistency-driven diffusion model for PET-MRI co-reconstruction

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