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;
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
A PLUG-AND-PLAY SYNTHETIC DATA DEEP LEARNING FOR UNDERSAMPLED MAGNETIC RESONANCE IMAGE RECONSTRUCTION
CloudBrain-NMR: An Intelligent Cloud Computing Platform for NMR Spectroscopy Processing, Reconstruction and Analysis
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
Magnetic Resonance Spectroscopy Deep Learning Denoising Using Few in Vivo Data
Resolution enhancement of NMR by decoupling with the low-rank Hankel model
A Paired Phase and Magnitude Reconstruction for Advanced Diffusion-Weighted Imaging
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