Xiaobo Qu

Affiliations:
  • Xiamen University, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, China


According to our database1, Xiaobo Qu authored at least 74 papers between 2008 and 2024.

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Bibliography

2024
Quantitative Analysis of Molecular Transport in the Extracellular Space Using Physics-Informed Neural Network.
CoRR, 2024

2023
A Paired Phase and Magnitude Reconstruction for Advanced Diffusion-Weighted Imaging.
IEEE Trans. Biomed. Eng., December, 2023

Evaluation of the diagnostic utility on 1.5T and 3.0T <sup>1</sup>H magnetic resonance spectroscopy for temporal lobe epilepsy.
BMC Medical Imaging, December, 2023

A Sparse Model-Inspired Deep Thresholding Network for Exponential Signal Reconstruction - Application in Fast Biological Spectroscopy.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Exponential Signal Reconstruction With Deep Hankel Matrix Factorization.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

Physics-Driven Synthetic Data Learning for Biomedical Magnetic Resonance: The imaging physics-based data synthesis paradigm for artificial intelligence.
IEEE Signal Process. Mag., March, 2023

One-Dimensional Deep Low-Rank and Sparse Network for Accelerated MRI.
IEEE Trans. Medical Imaging, 2023

XCloud-VIP: Virtual Peak Enables Highly Accelerated NMR Spectroscopy and Faithful Quantitative Measures.
IEEE Trans. Computational Imaging, 2023

Magnetic Resonance Spectroscopy Deep Learning Denoising Using Few in Vivo Data.
IEEE Trans. Computational Imaging, 2023

Hypercomplex Low Rank Reconstruction for NMR Spectroscopy.
Signal Process., 2023

Cloud-Magnetic Resonance Imaging System: In the Era of 6G and Artificial Intelligence.
CoRR, 2023

CMRxRecon: An open cardiac MRI dataset for the competition of accelerated image reconstruction.
CoRR, 2023

CloudBrain-NMR: An Intelligent Cloud Computing Platform for NMR Spectroscopy Processing, Reconstruction and Analysis.
CoRR, 2023

A plug-and-play synthetic data deep learning for undersampled magnetic resonance image reconstruction.
CoRR, 2023

One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction.
CoRR, 2023

Magnetic Resonance Spectroscopy Quantification Aided by Deep Estimations of Imperfection Factors and Overall Macromolecular Signal.
CoRR, 2023

Convex Dual Theory Analysis of Two-Layer Convolutional Neural Networks with Soft-Thresholding.
CoRR, 2023

Physics-informed Deep Diffusion MRI Reconstruction: Break the Bottleneck of Training Data in Artificial Intelligence.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Accelerated MRI Reconstruction With Separable and Enhanced Low-Rank Hankel Regularization.
IEEE Trans. Medical Imaging, 2022

Accelerated Detection for Low-Field NMR Using Nonuniform Sampling and Improved Reconstruction.
IEEE Trans. Instrum. Meas., 2022

Spatiotemporal Flexible Sparse Reconstruction for Rapid Dynamic Contrast-Enhanced MRI.
IEEE Trans. Biomed. Eng., 2022

A Dynamics Theory of Implicit Regularization in Deep Low-Rank Matrix Factorization.
CoRR, 2022

A Faithful Deep Sensitivity Estimation for Accelerated Magnetic Resonance Imaging.
CoRR, 2022

Physics-driven Synthetic Data Learning for Biomedical Magnetic Resonance.
CoRR, 2022

2021
An Automatic Denoising Method for NMR Spectroscopy Based on Low-Rank Hankel Model.
IEEE Trans. Instrum. Meas., 2021

A guaranteed convergence analysis for the projected fast iterative soft-thresholding algorithm in parallel MRI.
Medical Image Anal., 2021

A partial sum of singular-value-based reconstruction method for non-uniformly sampled NMR spectroscopy.
IET Signal Process., 2021

Low-rank and sparse reconstruction for fast diffusion nuclear magnetic resonance spectroscopy.
IET Signal Process., 2021

Denoising Single Voxel Magnetic Resonance Spectroscopy with Deep Learning on Repeatedly Sampled In Vivo Data.
CoRR, 2021

A review on deep learning MRI reconstruction without fully sampled k-space.
BMC Medical Imaging, 2021

XCloud-pFISTA: A Medical Intelligence Cloud for Accelerated MRI.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Accelerated image reconstruction with separable Hankel regularization in parallel MRI.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Image reconstruction with low-rankness and self-consistency of <i>k</i>-space data in parallel MRI.
Medical Image Anal., 2020

Accelerated NMR Spectroscopy: Merge Optimization with Deep Learning.
CoRR, 2020

Gaussian noise removal with exponential functions and spectral norm of weighted Hankel matrices.
CoRR, 2020

Review and Prospect: Deep Learning in Nuclear Magnetic Resonance Spectroscopy.
CoRR, 2020

Preliminary application of 3.0 T magnetic resonance chemical exchange saturation transfer imaging in brain metastasis of lung cancer.
BMC Medical Imaging, 2020

2019
Amplitude Estimation and Source Separation for Harmonics Within Two Mixtures Based on a Min-Rank Criterion.
IEEE Trans. Instrum. Meas., 2019

pISTA-SENSE-ResNet for Parallel MRI Reconstruction.
CoRR, 2019

A Convergence Proof of Projected Fast Iterative Soft-thresholding Algorithm for Parallel Magnetic Resonance Imaging.
CoRR, 2019

Accelerated Nuclear Magnetic Resonance Spectroscopy with Deep Learning.
CoRR, 2019

Salt and Pepper Noise Removal with Multi-Class Dictionary Learning and L0 Norm Regularizations.
Algorithms, 2019

2018
Vandermonde Factorization of Hankel Matrix for Complex Exponential Signal Recovery - Application in Fast NMR Spectroscopy.
IEEE Trans. Signal Process., 2018

Low Rank Enhanced Matrix Recovery of Hybrid Time and Frequency Data in Fast Magnetic Resonance Spectroscopy.
IEEE Trans. Biomed. Eng., 2018

Single Image Super-Resolution Based on Multi-Scale Competitive Convolutional Neural Network.
Sensors, 2018

Joint sparse reconstruction of multi-contrast MRI images with graph based redundant wavelet transform.
BMC Medical Imaging, 2018

Multi-Contrast Brain MRI Image Super-Resolution With Gradient-Guided Edge Enhancement.
IEEE Access, 2018

Improved Reconstruction of Low Intensity Magnetic Resonance Spectroscopy With Weighted Low Rank Hankel Matrix Completion.
IEEE Access, 2018

Single Image Super-Resolution With Learning Iteratively Non-Linear Mapping Between Low- and High-Resolution Sparse Representations.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
Hankel Matrix Nuclear Norm Regularized Tensor Completion for N-dimensional Exponential Signals.
IEEE Trans. Signal Process., 2017

Multi-contrast brain magnetic resonance image super-resolution using the local weight similarity.
BMC Medical Imaging, 2017

A Fast Low Rank Hankel Matrix Factorization Reconstruction Method for Non-Uniformly Sampled Magnetic Resonance Spectroscopy.
IEEE Access, 2017

Accelerated magnetic resonance spectroscopy with Vandermonde factorization.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

A low rank Hankel matrix reconstruction method for ultrafast magnetic resonance spectroscopy.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
Projected Iterative Soft-Thresholding Algorithm for Tight Frames in Compressed Sensing Magnetic Resonance Imaging.
IEEE Trans. Medical Imaging, 2016

Fast Multiclass Dictionaries Learning With Geometrical Directions in MRI Reconstruction.
IEEE Trans. Biomed. Eng., 2016

Image reconstruction of compressed sensing MRI using graph-based redundant wavelet transform.
Medical Image Anal., 2016

Spread spectrum compressed sensing MRI using chirp radio frequency pulses.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Undersampled Hyperspectral Image Reconstruction Based on Surfacelet Transform.
J. Sensors, 2015

Fast Multi-class Dictionaries Learning with Geometrical Directions in MRI Reconstruction.
CoRR, 2015

A Simple and Fast Iterative Soft-thresholding Algorithm for Tight Frames in Compressed Sensing Magnetic Resonance Imaging.
CoRR, 2015

Robust recovery of complex exponential signals from random Gaussian projections via low rank Hankel matrix reconstruction.
CoRR, 2015

2014
Magnetic resonance image reconstruction from undersampled measurements using a patch-based nonlocal operator.
Medical Image Anal., 2014

A Modified Iterative Alternating Direction Minimization Algorithm for Impulse Noise Removal in Images.
J. Appl. Math., 2014

Parallel Computing of Patch-Based Nonlocal Operator and Its Application in Compressed Sensing MRI.
Comput. Math. Methods Medicine, 2014

Mathematical Methods in Biomedical Imaging 2014.
Comput. Math. Methods Medicine, 2014

Salt and Pepper Noise Removal with Noise Detection and a Patch-Based Sparse Representation.
Adv. Multim., 2014

Multi-focus Image Fusion with Structure-Driven Adaptive Regions.
Proceedings of the International Conference on Internet Multimedia Computing and Service, 2014

2013
Magnetic resonance image reconstruction using similarities learnt from multi-modal images.
Proceedings of the 2013 IEEE China Summit and International Conference on Signal and Information Processing, 2013

2012
Sparsity-based online missing sensor data recovery.
Proceedings of the 2012 IEEE International Symposium on Circuits and Systems, 2012

2011
Reconstruction of Self-Sparse 2D NMR Spectra from Undersampled Data in the Indirect Dimension.
Sensors, 2011

Sparsity-Based Spatial Interpolation in Wireless Sensor Networks.
Sensors, 2011

2010
Compressed sensing MRI with combined sparsifying transforms and smoothed l0 norm minimization.
Proceedings of the IEEE International Conference on Acoustics, 2010

2008
The cycle spinning-based sharp frequency localized contourlet transform for image denoising.
Proceedings of the 3rd International Conference on Intelligent System and Knowledge Engineering, 2008


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