
TLab: Traffic Map Movie Forecasting Based on HRNET
The problem of the effective prediction for largescale spatiotemporal ...
read it

Gaussian noise removal with exponential functions and spectral norm of weighted Hankel matrices
Exponential functions are powerful tools to model signals in various sce...
read it

Review and Prospect: Deep Learning in Nuclear Magnetic Resonance Spectroscopy
Since the concept of deep learning (DL) was formally proposed in 2006, i...
read it

pISTASENSEResNet for Parallel MRI Reconstruction
Magnetic resonance imaging has been widely applied in clinical diagnosis...
read it

A Convergence Proof of Projected Fast Iterative Softthresholding Algorithm for Parallel Magnetic Resonance Imaging
The boom of nonuniform sampling and compressed sensing techniques drama...
read it

Accelerated Nuclear Magnetic Resonance Spectroscopy with Deep Learning
Nuclear magnetic resonance (NMR) spectroscopy serves as an indispensable...
read it

Hankel Matrix Nuclear Norm Regularized Tensor Completion for Ndimensional Exponential Signals
Signals are generally modeled as a superposition of exponential function...
read it

Projected Iterative Softthresholding Algorithm for Tight Frames in Compressed Sensing Magnetic Resonance Imaging
Compressed sensing has shown great potentials in accelerating magnetic r...
read it

Fast Multiclass Dictionaries Learning with Geometrical Directions in MRI Reconstruction
Objective: Improve the reconstructed image with fast and multiclass dic...
read it

Robust recovery of complex exponential signals from random Gaussian projections via low rank Hankel matrix reconstruction
This paper explores robust recovery of a superposition of R distinct com...
read it

Spread spectrum compressed sensing MRI using chirp radio frequency pulses
Compressed sensing has shown great potential in reducing data acquisitio...
read it
Xiaobo Qu
is this you? claim profile