The k-space data generated from magnetic resonance imaging (MRI) is only...
As convolutional neural networks (CNN) become the most successful
recons...
Dynamic Magnetic Resonance Imaging (dMRI) is widely used to assess vario...
Multi-contrast Magnetic Resonance Imaging (MRI) generates multiple medic...
Magnetic Resonance Spectroscopic Imaging (MRSI) is an essential tool for...
In clinical procedures of angioplasty (i.e., open clogged coronary arter...
High-quality MRI reconstruction plays a critical role in clinical
applic...
Image registration plays an important role in medical image analysis.
Co...
Multi-contrast MRI images provide complementary contrast information abo...
Retrospectively gated cine (retro-cine) MRI is the clinical standard for...
Accurate estimation of shape thickness from medical images is crucial in...
Real-time cardiac cine MRI does not require ECG gating in the data
acqui...
Cardiac motion estimation plays a key role in MRI cardiac feature tracki...
We propose to formulate MRI image reconstruction as an optimization prob...
Motion estimation of cardiac MRI videos is crucial for the evaluation of...
Fast and accurate MRI image reconstruction from undersampled data is
cri...
Recent progress in computer vision has been dominated by deep neural net...