X. Qu

发表

Combined sparsifying transforms for compressed sensing MRI

X. Qu, Xue Cao, D. Guo, 2010 .

Iterative thresholding compressed sensing MRI based on contourlet transform

X. Qu, D. Guo, Weirui Zhang, 2010 .

Accelerated NMR spectroscopy with low-rank reconstruction.

Jian-Feng Cai, X. Qu, Zhong Chen, 2015, Angewandte Chemie.

Magnetic resonance image reconstruction using trained geometric directions in 2D redundant wavelets domain and non-convex optimization.

Di Guo, Xiaobo Qu, Changwei Hu, 2013, Magnetic resonance imaging.

Multifocus image fusion method of sharp frequency localized Contourlet transform domain based on sum-modified-Laplacian

屈小波, X. Qu, Jingwen Yan, 2009 .

Fast 3D gradient shimming by only 2×2 pixels in XY plane for NMR-solution samples.

X. Qu, C. Cai, S. Cai, 2014, Journal of magnetic resonance.

Multi-focus Image Fusion Algorithm Based on Regional Firing Characteristic of Pulse Coupled Neural Networks

Xiaobo Qu, Jingwen Yan, X. Qu, 2007, 2007 Second International Conference on Bio-Inspired Computing: Theories and Applications.

An auto-parameter denoising method for nuclear magnetic resonance spectroscopy based on low-rank Hankel matrix.

Xin Wang, Xiaobo Qu, Wenjing Liao, 2020 .

Partial Fourier transform reconstruction for single‐shot MRI with linear frequency‐swept excitation

Jing Li, Xiaobo Qu, Shuhui Cai, 2013, Magnetic resonance in medicine.

Flexible reduced field of view magnetic resonance imaging based on single-shot spatiotemporally encoded technique*

X. Qu, C. Cai, S. Cai, 2015 .

Accelerated NMR Spectroscopy: Merge Optimization with Deep Learning pdf

Zi Wang, Xiaobo Qu, Vladislav Orekhov, 2020, ArXiv.

Patch-based Directional Redundant Wavelets in Compressed Sensing Parallel MRI with Radial Sampling Trajectory

X. Qu, D. Guo, Zhong Chen, 2016 .

NUScon: A community-driven platform for quantitative evaluation of nonuniform sampling in NMR

Adam D. Schuyler, Jeffrey C. Hoch, Robert Powers, 2021, Magnetic Resonance.

Preliminary application of 3.0 T magnetic resonance chemical exchange saturation transfer imaging in brain metastasis of lung cancer

X. Qu, Gang Guo, S. Duan, 2019, BMC Medical Imaging.

Brain metabolic differences between temporal lobe epileptic seizures and organic non-epileptic seizures in postictal phase: a retrospective study with magnetic resonance spectroscopy.

X. Qu, D. Guo, L. Bao, 2021, Quantitative imaging in medicine and surgery.

Physics-Driven Synthetic Data Learning for Biomedical Magnetic Resonance: The imaging physics-based data synthesis paradigm for artificial intelligence

X. Qu, C. Cai, Qinqin Yang, 2022, IEEE Signal Processing Magazine.

Fast NMR spectroscopy reconstruction with a sliding window based Hankel matrix.

X. Qu, D. Guo, Yihui Huang, 2022, Journal of magnetic resonance.

Hypercomplex Low Rank Reconstruction for NMR Spectroscopy

X. Qu, D. Guo, V. Orekhov, 2022, Signal Process..

Low-field NMR inversion based on low-rank and sparsity restraint of relaxation spectra

X. Qu, Jiangfeng Guo, Lizhi Xiao, 2022, Petroleum Science.

Magnetic Resonance Spectroscopy Deep Learning Denoising Using Few in Vivo Data

Zhigang, X. Qu, D. Guo, 2021, IEEE Transactions on Computational Imaging.

Accelerated Detection for Low-Field NMR Using Nonuniform Sampling and Improved Reconstruction

X. Qu, Zhong Chen, Junyao Xie, 2022, IEEE Transactions on Instrumentation and Measurement.

Image Fusion Algorithm Based on Spatia Frequency-Motivated Pulse Coupled Neural Networks in Nonsubsampled Contourlet Transform Domain: Image Fusion Algorithm Based on Spatia Frequency-Motivated Pulse Coupled Neural Networks in Nonsubsampled Contourlet Transform Domain

Jingwen Yan, Hong-Zhi Xiao, Zi-Qian Zhu, 2009 .

Alternating Deep Low Rank Approach for Exponential Function Reconstruction and Its Biomedical Magnetic Resonance Applications

X. Qu, D. Guo, Z. Wang, 2022, 2211.13479.

A Dynamics Theory of Implicit Regularization in Deep Low-Rank Matrix Factorization

X. Qu, D. Guo, Chen Qian, 2022, 2212.14150.

Resolution enhancement of NMR by decoupling with the low-rank Hankel model

X. Qu, V. Orekhov, Tianyu Qiu, 2022, Chemical communications.

Multi-Contrast Brain MRI Image Super-Resolution With Gradient-Guided Edge Enhancement

Zhong Chen, Di Guo, Xiaobo Qu, 2018, IEEE Access.

Convolutional Neural Networks-Based MRI Image Analysis for the Alzheimer’s Disease Prediction From Mild Cognitive Impairment

Di Guo, Xiaofeng Du, Xiaobo Qu, 2018, Front. Neurosci..

Projected Iterative Soft-Thresholding Algorithm for Tight Frames in Compressed Sensing Magnetic Resonance Imaging

Di Guo, Jian-Feng Cai, Xiaobo Qu, 2015, IEEE Transactions on Medical Imaging.

Sparse MRI reconstruction using multi-contrast image guided graph representation.

Di Guo, Yu Yang, Xiaobo Qu, 2017, Magnetic resonance imaging.

Vandermonde Factorization of Hankel Matrix for Complex Exponential Signal Recovery—Application in Fast NMR Spectroscopy

Zhong Chen, Di Guo, Gongguo Tang, 2018, IEEE Transactions on Signal Processing.

Hankel Matrix Nuclear Norm Regularized Tensor Completion for $N$-dimensional Exponential Signals

Di Guo, Jian-Feng Cai, Xiaobo Qu, 2016, IEEE Transactions on Signal Processing.

Amplitude Estimation and Source Separation for Harmonics Within Two Mixtures Based on a Min-Rank Criterion

Xiaobo Qu, Yu Yang, Jiyang Dong, 2019, IEEE Transactions on Instrumentation and Measurement.

Review and Prospect: Deep Learning in Nuclear Magnetic Resonance Spectroscopy

X. Qu, D. Guo, V. Orekhov, 2020, Chemistry.

Accelerated Nuclear Magnetic Resonance Spectroscopy with Deep Learning

Di Guo, Xiaobo Qu, Zhong Chen, 2019, Angewandte Chemie.

Current development and prospects of deep learning in spine image analysis: a literature review.

X. Qu, Liansheng Wang, B. Qu, 2021, Quantitative imaging in medicine and surgery.

Joint sparse reconstruction of multi-contrast MRI images with graph based redundant wavelet transform

Di Guo, Xiaofeng Du, Xiaobo Qu, 2018, BMC Medical Imaging.

Low Rank Enhanced Matrix Recovery of Hybrid Time and Frequency Data in Fast Magnetic Resonance Spectroscopy

Zhong Chen, Di Guo, Xiaobo Qu, 2018, IEEE Transactions on Biomedical Engineering.

Image fusion algorithm based on orientation information motivated Pulse Coupled Neural Networks

Jingwen Yan, Xiaobo Qu, Changwei Hu, 2008, 2008 7th World Congress on Intelligent Control and Automation.

A review on deep learning MRI reconstruction without fully sampled k-space

Di Guo, Xiaobo Qu, Zongying Lai, 2021, BMC Medical Imaging.

Nested Dilation Networks for Brain Tumor Segmentation Based on Magnetic Resonance Imaging

Liansheng Wang, Changhua Liu, Xiaobo Qu, 2019, Front. Neurosci..

Undersampled MRI reconstruction with patch-based directional wavelets.

Zhong Chen, Di Guo, Yingkun Hou, 2012, Magnetic resonance imaging.

Denoising Single Voxel Magnetic Resonance Spectroscopy with Deep Learning on Repeatedly Sampled In Vivo Data

Hao Chen, Xi Chen, Wanqi Hu, 2021, ArXiv.

Review and Prospect: NMR Spectroscopy Denoising & Reconstruction with Low Rank Hankel Matrices and Tensors.

Zi Wang, Xiaobo Qu, Tianyu Qiu, 2020, Magnetic resonance in chemistry : MRC.

A novel image fusion algorithm based on bandelet transform

Jingwen Yan, Xiaobo Qu, Guofu Xie, 2007 .

Undersampled Hyperspectral Image Reconstruction Based on Surfacelet Transform

Lei Liu, Di Guo, Jingwen Yan, 2015, J. Sensors.

Magnetic resonance image reconstruction from undersampled measurements using a patch-based nonlocal operator

Di Guo, Yingkun Hou, Xiaobo Qu, 2014, Medical Image Anal..

Magnetic Resonance Spectroscopy Quantification Aided by Deep Estimations of Imperfection Factors and Overall Macromolecular Signal

X. Qu, D. Guo, X. Chen, 2023, ArXiv.

Physics-informed deep diffusion MRI reconstruction: break the bottleneck of training data in artificial intelligence

X. Qu, D. Guo, Qi-Zhi Cai, 2022, ArXiv.

High quality multi-focus image fusion using self-similarity and depth information

Jingwen Yan, Xiaobo Qu, Di Guo, 2015 .

vivo Magnetic Resonance Spectroscopy Preprocessing, Quantiﬁcation, and Analysis

X. Qu, D. Guo, Liuhong Zhu, 2022 .

Gaussian noise removal with exponential functions and spectral norm of weighted Hankel matrices pdf

Xin Wang, Xiaobo Qu, Wenjing Liao, 2020, ArXiv.

An Automatic Denoising Method for NMR Spectroscopy Based on Low-Rank Hankel Model

Di Guo, Xiaobo Qu, Wenjing Liao, 2021, IEEE Transactions on Instrumentation and Measurement.

Accelerated MRI Reconstruction With Separable and Enhanced Low-Rank Hankel Regularization

Di Guo, Xiaobo Qu, Zongying Lai, 2021, IEEE Transactions on Medical Imaging.

A Paired Phase and Magnitude Reconstruction for Advanced Diffusion-Weighted Imaging.

X. Qu, D. Guo, Z. Wang, 2022, IEEE transactions on bio-medical engineering.

Convex Dual Theory Analysis of Two-Layer Convolutional Neural Networks with Soft-Thresholding

X. Qu, D. Guo, Zhong Chen, 2023, IEEE transactions on neural networks and learning systems.

One-Dimensional Deep Low-Rank and Sparse Network for Accelerated MRI pdf

Di Guo, Xiaobo Qu, Chen Qian, 2021, IEEE Transactions on Medical Imaging.

A Sparse Model-Inspired Deep Thresholding Network for Exponential Signal Reconstruction—Application in Fast Biological Spectroscopy

X. Qu, D. Guo, V. Orekhov, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Exponential Signal Reconstruction With Deep Hankel Matrix Factorization.

Zi Wang, Xiaobo Qu, Di Guo, 2020, IEEE transactions on neural networks and learning systems.

pISTA-SENSE-ResNet for Parallel MRI Reconstruction

Xiaobo Qu, Yonggui Yang, Xinlin Zhang, 2019, Journal of magnetic resonance.

One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction

X. Qu, D. Guo, C. Cai, 2023, ArXiv.

A Convergence Proof of Projected Fast Iterative Soft-thresholding Algorithm for Parallel Magnetic Resonance Imaging pdf

Xiaobo Qu, Xinlin Zhang, Feng Huang, 2019, ArXiv.

A Simple and Fast Iterative Soft-thresholding Algorithm for Tight Frames in Compressed Sensing Magnetic Resonance Imaging pdf

Di Guo, Jian-Feng Cai, Xiaobo Qu, 2015, ArXiv.

Balanced Sparse Model for Tight Frames in Compressed Sensing Magnetic Resonance Imaging

Zhong Chen, Di Guo, Jing Ye, 2015, PloS one.

Incorporating reference in parallel imaging and compressed sensing

Dong Liang, Yuanyuan Liu, Hairong Zheng, 2015, Magnetic resonance in medicine.

Robust recovery of complex exponential signals from random Gaussian projections via low rank Hankel matrix reconstruction

Weiyu Xu, Jian-Feng Cai, Xiaobo Qu, 2015, Applied and computational harmonic analysis.

Fast Multiclass Dictionaries Learning With Geometrical Directions in MRI Reconstruction

Di Guo, Jian-Feng Cai, Xiaobo Qu, 2015, IEEE Transactions on Biomedical Engineering.

Image reconstruction of compressed sensing MRI using graph-based redundant wavelet transform

Di Guo, Jing Ye, Xiaobo Qu, 2016, Medical Image Anal..

Spatiotemporal Flexible Sparse Reconstruction for Rapid Dynamic Contrast-Enhanced MRI

Li Feng, Xiaoyong Shen, Xiaobo Qu, 2020, IEEE Transactions on Biomedical Engineering.

Image reconstruction with low-rankness and self-consistency of k-space data in parallel MRI

Liansheng Wang, Xiaobo Qu, Xinlin Zhang, 2019, Medical Image Anal..

Wavelet-based edge correlation incorporated iterative reconstruction for undersampled MRI.

Di Guo, Xiaobo Qu, Changwei Hu, 2011, Magnetic resonance imaging.

CloudBrain-ReconAI: An Online Platform for MRI Reconstruction and Image Quality Evaluation

X. Qu, D. Guo, Chen Qian, 2022, 2212.01878.

A Joint Group Sparsity-based deep learning for multi-contrast MRI reconstruction.

X. Qu, D. Guo, Z. Wang, 2022, Journal of magnetic resonance (San Diego, Calif. 1997 : Print).

Salt and Pepper Noise Removal with Multi-Class Dictionary Learning and L0 Norm Regularizations

Di Guo, Xiaofeng Du, Min Xiao, 2018, Algorithms.

Compressed sensing MRI based on nonsubsampled contourlet transform

Zhong Chen, Di Guo, Xiaobo Qu, 2008, 2008 IEEE International Symposium on IT in Medicine and Education.

Phase-constrained reconstruction of high-resolution multi-shot diffusion weighted image.

Di Guo, Feng Huang, Hua Guo, 2020, Journal of magnetic resonance.

A guaranteed convergence analysis for the projected fast iterative soft-thresholding algorithm in parallel MRI

Di Guo, Xiaobo Qu, Lijun Bao, 2019, Medical Image Anal..

A Dynamics Theory of Implicit Regularization in Deep Low-Rank Matrix Factorization

X. Qu, D. Guo, Chen Qian, 2022, ArXiv.

Sparsity-Based Spatial Interpolation in Wireless Sensor Networks

Di Guo, Lianfen Huang, Yan Yao, 2011, Sensors.

Image fusion algorithm based on neighbors and cousins information in nonsubsampled contourlet transform domain

X. Qu, Jingwen Yan, Zi-Qian Zhu, 2007, 2007 International Conference on Wavelet Analysis and Pattern Recognition.

Jointly estimating bias field and reconstructing uniform MRI image by deep learning.

X. Qu, Yihui Huang, Zi Wang, 2022, Journal of magnetic resonance.

Coil Combination of Multichannel Single Voxel Magnetic Resonance Spectroscopy with Repeatedly Sampled In Vivo Data

X. Qu, D. Guo, Wanqi Hu, 2021, Molecules.

Reconstruction of Self-Sparse 2D NMR Spectra from Undersampled Data in the Indirect Dimension†

Di Guo, Xiaobo Qu, Zhong Chen, 2011, Sensors.

Block-Extraction and Haar Transform Based Linear Singularity Representation for Image Enhancement

Seong-Whan Lee, Yingkun Hou, Xiaobo Qu, 2019, Mathematical Problems in Engineering.

A Novel Video Denoising Method Based on Surfacelet Transform

Jingwen Yan, Xiaobo Qu, Hongzhi Xiao, 2008, 2008 Congress on Image and Signal Processing.

CloudBrain-NMR: An Intelligent Cloud Computing Platform for NMR Spectroscopy Processing, Reconstruction and Analysis

X. Qu, Tianyu Qiu, Liubin Feng, 2023, ArXiv.

Partial Fourier transform reconstruction for single‐shot MRI with linear frequency‐swept excitation

X. Qu, C. Cai, S. Cai, 2013, Magnetic resonance in medicine.

XCloud-pFISTA: A Medical Intelligence Cloud for Accelerated MRI

Di Guo, Zi Wang, Xiaobo Qu, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

CloudBrain-MRS: An intelligent cloud computing platform for in vivo magnetic resonance spectroscopy preprocessing, quantification, and analysis.

X. Qu, D. Guo, Liuhong Zhu, 2023, Journal of magnetic resonance.

Magnetic Resonance Spectroscopy Quantification Aided by Deep Estimations of Imperfection Factors and Macromolecular Signal.

X. Qu, D. Guo, L. Lin, 2023, IEEE transactions on bio-medical engineering.

Exponential Signal Reconstruction With Deep Hankel Matrix Factorization

Di Guo, Xiaobo Qu, Jinkui Zhao, 2020, IEEE Transactions on Neural Networks and Learning Systems.

XCloud-VIP: Virtual Peak Enables Highly Accelerated NMR Spectroscopy and Faithful Quantitative Measures

X. Qu, D. Guo, D. Lin, 2021, IEEE Transactions on Computational Imaging.

Alternating Deep Low-Rank Approach for Exponential Function Reconstruction and Its Biomedical Magnetic Resonance Applications

X. Qu, D. Guo, Z. Wang, 2022, 2211.13479.

Review and Prospect: Applications of Exponential Signals with Machine Learning in Nuclear Magnetic Resonance

X. Qu, Di Guo, Yanqin Lin, 2023, Spectroscopy.