已发表成果:
WOK 论文 120 篇;中文核心 2 篇;其它论文 10 篇;专利发明 4 个;
Convex Dual Theory Analysis of Two-Layer Convolutional Neural Networks With Soft-Thresholding
CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI
Compact In Situ Electrochemical NMR with Wireless and Anti-interference Strategy in Multiscenario Applications
CMRxRecon: A publicly available <i>k</i>-space dataset and benchmark to advance deep learning for cardiac MRI
MRI reconstruction with enhanced self-similarity using graph convolutional network
Synergistic effect between transition metal single atom and SnS 2 toward deep CO 2 reduction
Simultaneous Deep Learning of Myocardium Segmentation and T2 Quantification for Acute Myocardial Infarction MRI
The state-of-the-art in Cardiac MRI Reconstruction: Results of the CMRxRecon Challenge in MICCAI 2023
A Faithful Deep Sensitivity Estimation for Accelerated Magnetic Resonance Imaging
Quantitative analysis of molecular transport in the extracellular space using physics-informed neural network
Deep Separable Spatiotemporal Learning for Fast Dynamic Cardiac MRI
Quantitative Analysis of Molecular Transport in the Extracellular Space Using Physics-Informed Neural Network
CloudBrain-MRS: An intelligent cloud computing platform for in vivo magnetic resonance spectroscopy preprocessing, quantification, and analysis
Magnetic Resonance Spectroscopy Quantification Aided by Deep Estimations of Imperfection Factors and Macromolecular Signal
Cloud-magnetic resonance imaging system: In the era of 6G and artificial intelligence
CloudBrain-NMR: An Intelligent Cloud-Computing Platform for NMR Spectroscopy Processing, Reconstruction, and Analysis
A Dynamics Theory of Implicit Regularization in Deep Low-Rank Matrix Factorization
Evaluation of the diagnostic utility on 1.5T and 3.0T <SUP>1</SUP>H magnetic resonance spectroscopy for temporal lobe epilepsy
NMR Spectra Denoising with Vandermonde Constraints
Cloud-Magnetic Resonance Imaging System: In the Era of 6G and Artificial Intelligence
Bloch Equation Enables Physics-informed Neural Network in Parametric Magnetic Resonance Imaging
CMR×Recon: An open cardiac MRI dataset for the competition of accelerated image reconstruction
CloudBrain-NMR: An Intelligent Cloud Computing Platform for NMR Spectroscopy Processing, Reconstruction and Analysis
A PLUG-AND-PLAY SYNTHETIC DATA DEEP LEARNING FOR UNDERSAMPLED MAGNETIC RESONANCE IMAGE RECONSTRUCTION
Review and Prospect: Applications of Exponential Signals with Machine Learning in Nuclear Magnetic Resonance
Review and Prospect: Applications of Exponential Signals with Machine Learning in Nuclear Magnetic Resonance
Comparative study of bilateral putamen for patients with severe Parkinson's disease detected by 1H magnetic resonance spectroscopy
One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction
CloudBrain-MRS: An Intelligent Cloud Computing Platform for in vivo Magnetic Resonance Spectroscopy Preprocessing, Quantification, and Analysis
Magnetic Resonance Spectroscopy Quantification Aided by Deep Estimations of Imperfection Factors and Overall Macromolecular Signal
A convergence analysis for projected fast iterative soft-thresholding algorithm under radial sampling MRI
Convex Dual Theory Analysis of Two-Layer Convolutional Neural Networks with Soft-Thresholding
Physics-Driven Synthetic Data Learning for Biomedical Magnetic Resonance: The imaging physics-based data synthesis paradigm for artificial intelligence
Hypercomplex Low Rank Reconstruction for NMR Spectroscopy
A Joint Group Sparsity-based deep learning for multi-contrast MRI reconstruction
One-Dimensional Deep Low-Rank and Sparse Network for Accelerated MRI
A Paired Phase and Magnitude Reconstruction for Advanced Diffusion-Weighted Imaging
Magnetic Resonance Spectroscopy Deep Learning Denoising Using Few in Vivo Data
Resolution enhancement of NMR by decoupling with the low-rank Hankel model
Physics-informed Deep Diffusion MRI Reconstruction: Break the Bottleneck of Training Data in Artificial Intelligence
XCloud-VIP: Virtual Peak Enables Highly Accelerated NMR Spectroscopy and Faithful Quantitative Measures
A Dynamics Theory of Implicit Regularization in Deep Low-Rank Matrix Factorization
CloudBrain-ReconAI: An Online Platform for MRI Reconstruction and Image Quality Evaluation
Low-field NMR inversion based on low-rank and sparsity restraint of relaxation spectra
Alternating Deep Low Rank Approach for Exponential Function Reconstruction and Its Biomedical Magnetic Resonance Applications
A Faithful Deep Sensitivity Estimation for Accelerated Magnetic Resonance Imaging
Physics-informed deep diffusion MRI reconstruction: break the bottleneck of training data in artificial intelligence
Jointly estimating bias field and reconstructing uniform MRI image by deep learning
Fast NMR spectroscopy reconstruction with a sliding window based Hankel matrix
Hypercomplex Low Rank Reconstruction for Nmr Spectroscopy with Cloud Computing
A Paired Phase and Magnitude Reconstruction for Advanced Diffusion-Weighted Imaging
Physics-driven Synthetic Data Learning for Biomedical Magnetic Resonance
Current development and prospects of deep learning in spine image analysis: a literature review
Spatiotemporal Flexible Sparse Reconstruction for Rapid Dynamic Contrast-Enhanced MRI
Accelerated MRI Reconstruction With Separable and Enhanced Low-Rank Hankel Regularization
A Sparse Model-Inspired Deep Thresholding Network for Exponential Signal Reconstruction--Application in Fast Biological Spectroscopy
Accelerated Detection for Low-Field NMR Using Nonuniform Sampling and Improved Reconstruction
A review on deep learning MRI reconstruction without fully sampled k-space
Exponential Signal Reconstruction With Deep Hankel Matrix Factorization
Brain metabolic differences between temporal lobe epileptic seizures and organic non-epileptic seizures in postictal phase: a retrospective study with magnetic resonance spectroscopy
Coil Combination of Multichannel Single Voxel Magnetic Resonance Spectroscopy with Repeatedly Sampled In Vivo Data
A guaranteed convergence analysis for the projected fast iterative soft-thresholding algorithm in parallel MRI
Low-rank and sparse reconstruction for fast diffusion nuclear magnetic resonance spectroscopy
Review and prospect: NMR spectroscopy denoising and reconstruction with low-rank Hankel matrices and tensors
An Automatic Denoising Method for NMR Spectroscopy Based on Low-Rank Hankel Model
Accelerated image reconstruction with separable Hankel regularization in parallel MRI
XCloud-pFISTA: A Medical Intelligence Cloud for Accelerated MRI
pFISTA-SENSE-ResNet for parallel MRI reconstruction
Review and Prospect: NMR Spectroscopy Denoising & Reconstruction with Low Rank Hankel Matrices and Tensors
Spatiotemporal Flexible Sparse Reconstruction for Rapid Dynamic Contrast-enhanced MRI
Image reconstruction with low-rankness and self-consistency of k-space data in parallel MRI
Phase-constrained reconstruction of high-resolution multi-shot diffusion weighted image
Preliminary application of 3.0 T magnetic resonance chemical exchange saturation transfer imaging in brain metastasis of lung cancer
Review and prospect: Deep learning in nuclear magnetic resonance spectroscopy
Review and Prospect: Deep Learning in Nuclear Magnetic Resonance Spectroscopy
A partial sum of singular-value-based reconstruction method for non-uniformly sampled NMR spectroscopy
Amplitude Estimation and Source Separation for Harmonics Within Two Mixtures Based on a Min-Rank Criterion
Block-Extraction and Haar Transform Based Linear Singularity Representation for Image Enhancement
Nested Dilation Networks for Brain Tumor Segmentation Based on Magnetic Resonance Imaging
Salt and pepper noise removal with multi-class dictionary learning and L0 norm regularizations
Accelerated Nuclear Magnetic Resonance Spectroscopy with Deep Learning
Vandermonde Factorization of Hankel Matrix for Complex Exponential Signal Recovery - Application in Fast NMR Spectroscopy
Single image super-resolution based on multi-scale competitive convolutional neural network
Improved Reconstruction of Low Intensity Magnetic Resonance Spectroscopy with Weighted Low Rank Hankel Matrix Completion
Multi-contrast Brain MRI Image Super-resolution with Gradient-guided Edge Enhancement
A low rank Hankel matrix reconstruction method for ultrafast magnetic resonance spectroscopy
Accelerated magnetic resonance spectroscopy with Vandermonde factorization
A Fast Low Rank Hankel Matrix Factorization Reconstruction Method for Non-uniformly Sampled Magnetic Resonance Spectroscopy
Hankel matrix nuclear norm regularized tensor completion for N-dimensional exponential signals
Low Rank Enhanced Matrix Recovery of Hybrid Time and Frequency Data in Fast Magnetic Resonance Spectroscopy
Projected Iterative Soft-Thresholding Algorithm for Tight Frames in Compressed Sensing Magnetic Resonance Imaging
Fast Multiclass Dictionaries Learning with Geometrical Directions in MRI Reconstruction
Spread spectrum compressed sensing MRI using chirp radio frequency pulses
Flexible reduced field of view magnetic resonance imaging based on single-shot spatiotemporally encoded technique
Incorporating reference in parallel imaging and compressed sensing
Robust recovery of complex exponential signals from random Gaussian projections via low rank Hankel matrix reconstruction
High quality multi-focus image fusion using self-similarity and depth information
Accelerated NMR spectroscopy with low-rank reconstruction
Karhunen-Loève transform for compressive sampling hyperspectral images
Undersampled Hyperspectral Image Reconstruction Based on Surfacelet Transform
Mathematical methods in biomedical imaging 2014
Fast 3D gradient shimming by only 2 × 2 pixels in XY plane for NMR-solution samples
Magnetic resonance image reconstruction from undersampled measurements using a patch-based nonlocal operator
Image reconstruction of compressed sensing MRI using graph-based redundant wavelet transform
A Modified Iterative Alternating Direction Minimization Algorithm for Impulse Noise Removal in Images
Salt and pepper noise removal with noise detection and a patch-based sparse representation
Parallel Computing of Patch-Based Nonlocal Operator and Its Application in Compressed Sensing MRI
Multi-focus image fusion with structure-driven adaptive regions
Fast iterative contourlet thresholding for compressed sensing MRI
Magnetic resonance image reconstruction using trained geometric directions in 2D redundant wavelets domain and non-convex optimization
Partial Fourier transform reconstruction for single-shot MRI with linear frequency-swept excitation
Magnetic resonance image reconstruction using similarities learnt from multi-modal images
OPTIMIZED LOCAL SUPERPOSITION IN WIRELESS SENSOR NETWORKS WITH T-AVERAGE-MUTUAL-COHERENCE
Undersampled MRI reconstruction with patch-based directional wavelets.
Sparsity-based Online Missing Sensor Data Recovery
Sparsity-based online missing data recovery using overcomplete dictionary
Reconstruction of Self-Sparse 2D NMR Spectra from Undersampled Data in the Indirect Dimension
Wavelet-based edge correlation incorporated iterative reconstruction for undersampled MRI
Sparsity-Based Spatial Interpolation in Wireless Sensor Networks
Combined sparsifying transforms for compressed sensing MRI
基于低秩矩阵的非均匀采样NMR波谱重建进展
波谱学杂志,1000-4556,2020-06-09.基于近似l_0范数最小化的NMR波谱稀疏重建算法
波谱学杂志,1000-4556,2013-12-05.基于Graph稀疏表示的多对比度MRI联合重建方法
2018第二十届全国波谱学学术年会会议论文摘要集,,2018-10-12.基于低秩Hankel矩阵/张量重建的非均匀采样快速NMR
2018第二十届全国波谱学学术年会会议论文摘要集,,2018-10-12.基于低秩Hankel矩阵最小加权核范数的低强度谱峰重建
2018第二十届全国波谱学学术年会会议论文摘要集,,2018-10-12.基于梯度引导的边缘增强多对比度脑部MRI图像超分辨
2018第二十届全国波谱学学术年会会议论文摘要集,,2018-10-12.基于Hankel矩阵低秩特性的固体NMR去噪方法
第十九届全国波谱学学术会议论文摘要集,,2016-08-17.快速高维NMR谱的低秩Hankel矩阵和张量重建方法
第十九届全国波谱学学术会议论文摘要集,,2016-08-17.快速分类字典训练的磁共振图像稀疏重建
第十九届全国波谱学学术会议论文摘要集,,2016-08-17.紧标架稀疏MRI的快速投影软阈值迭代算法
第十九届全国波谱学学术会议论文摘要集,,2016-08-17.基于FID低秩汉克尔矩阵的非均匀采样NMR谱重建方法
第十九届全国波谱学学术会议论文摘要集,,2016-08-17.基于方向性小波变换的图像稀疏修复
光电技术应用,1673-1255,2013-06-15.