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Deep Learning Enables Superior Photoacoustic Imaging at Ultralow Laser Dosages

Advanced science, 2021-02, Vol.8 (3), p.2003097-n/a

2021

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DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution

Magnetic resonance imaging, 2020-05, Vol.68, p.136-147

2020

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DIMENSION: Dynamic MR imaging with both k‐space and spatial prior knowledge obtained via multi‐supervised network training

NMR in biomedicine, 2022-04, Vol.35 (4), p.e4131-n/a

2022

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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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Universal generative modeling in dual domains for dynamic MRI

NMR in biomedicine, 2023-12, Vol.36 (12), p.e5011-e5011

2023

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An unsupervised deep learning method for multi-coil cine MRI

Physics in medicine & biology, 2020-12, Vol.65 (23), p.235041-235041

2020

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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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B 1 mapping using pre-learned subspaces for quantitative brain imaging

Magnetic resonance in medicine, 2023-06, Vol.90 (5), p.2089-2101

2023

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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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A new deep learning method for image deblurring in optical microscopic systems

Journal of biophotonics, 2020-03, Vol.13 (3), p.e201960147-n/a

2020

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Cascaded Residual Dense Networks for Dynamic MR Imaging with Edge-Enhanced Loss Constraint

Investigative magnetic resonance imaging, 2020-12, Vol.24 (4), p.214

2020

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Learning-Assisted Fast Determination of Regularization Parameter in Constrained Image Reconstruction

IEEE transactions on biomedical engineering, 2024-07, Vol.71 (7), p.2253-2264

2024

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B1 mapping using pre‐learned subspaces for quantitative brain imaging

Magnetic resonance in medicine, 2023-11, Vol.90 (5), p.2089-2101

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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Deep Magnetic Resonance Image Reconstruction: Inverse Problems Meet Neural Networks

IEEE signal processing magazine, 2020-01, Vol.37 (1), p.141-151

2020

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HNO3 modified biochars for uranium (VI) removal from aqueous solution

Bioresource technology, 2018-05, Vol.256, p.247-253

2018

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Single-Molecule Force Spectroscopy Study on Force-Induced Melting in Polymer Single Crystals: The Chain Conformation Matters

Macromolecules, 2019-02, Vol.52 (3), p.1327-1333

2019

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ets1 associates with KMT5A to participate in high glucose-mediated EndMT via upregulation of PFN2 expression in diabetic nephropathy

Molecular medicine (Cambridge, Mass.), 2021-07, Vol.27 (1), p.74-74, Article 74

2021

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Discovery of novel isatin–dehydroepiandrosterone conjugates as potential anticancer agents

Bioorganic & medicinal chemistry letters, 2015-10, Vol.25 (20), p.4628-4631

2015

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Machine Learning Algorithms for the Prediction of Central Lymph Node Metastasis in Patients With Papillary Thyroid Cancer

Frontiers in endocrinology (Lausanne), 2020-10, Vol.11, p.577537-577537

2020

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Relaxed group pattern detection over massive-scale trajectories

Future generation computer systems, 2023-07, Vol.144, p.131-139

2023

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Map-based cloning and characterization of Zea mays male sterility33 (ZmMs33) gene, encoding a glycerol-3-phosphate acyltransferase

Theoretical and applied genetics, 2018-06, Vol.131 (6), p.1363-1378

2018

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Quantifying the Chain Folding in Polymer Single Crystals by Single-Molecule Force Spectroscopy

ACS macro letters, 2019-09, Vol.8 (9), p.1194-1199

2019

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Clinical effects and biological mechanisms of exercise on lumbar disc herniation

Frontiers in physiology, 2024, Vol.15, p.1309663

2024

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Deep Learning Enables Superior Photoacoustic Imaging at Ultralow Laser Dosages

DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution

DIMENSION: Dynamic MR imaging with both k‐space and spatial prior knowledge obtained via multi‐supervised network training

Deep low-Rank plus sparse network for dynamic MR imaging

Universal generative modeling in dual domains for dynamic MRI

An unsupervised deep learning method for multi-coil cine MRI

Learned Low-Rank Priors in Dynamic MR Imaging

Learning Data Consistency and its Application to Dynamic MR Imaging

B 1 mapping using pre-learned subspaces for quantitative brain imaging

Equilibrated Zeroth-Order Unrolled Deep Network for Parallel MR Imaging

A new deep learning method for image deblurring in optical microscopic systems

Cascaded Residual Dense Networks for Dynamic MR Imaging with Edge-Enhanced Loss Constraint

Learning-Assisted Fast Determination of Regularization Parameter in Constrained Image Reconstruction

B1 mapping using pre‐learned subspaces for quantitative brain imaging

Deep Manifold Learning for Dynamic MR Imaging

Deep Magnetic Resonance Image Reconstruction: Inverse Problems Meet Neural Networks

HNO3 modified biochars for uranium (VI) removal from aqueous solution

Single-Molecule Force Spectroscopy Study on Force-Induced Melting in Polymer Single Crystals: The Chain Conformation Matters

ets1 associates with KMT5A to participate in high glucose-mediated EndMT via upregulation of PFN2 expression in diabetic nephropathy

Discovery of novel isatin–dehydroepiandrosterone conjugates as potential anticancer agents

Machine Learning Algorithms for the Prediction of Central Lymph Node Metastasis in Patients With Papillary Thyroid Cancer

Relaxed group pattern detection over massive-scale trajectories

Map-based cloning and characterization of Zea mays male sterility33 (ZmMs33) gene, encoding a glycerol-3-phosphate acyltransferase

Quantifying the Chain Folding in Polymer Single Crystals by Single-Molecule Force Spectroscopy

Clinical effects and biological mechanisms of exercise on lumbar disc herniation

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