2 citations · 6 across the 5 of their papers we have counts for
6 papers
Multi-task MR Imaging with Iterative Teacher Forcing and Re-weighted Deep Learning
Kehan Qi, Yu Gong, Xinfeng Liu +3
Noises, artifacts, and loss of information caused by the magnetic resonance (MR) reconstruction may compromise the final performance of the downstream applications. In this paper,…
Deep Low-rank Prior in Dynamic MR Imaging
Ziwen Ke, Wenqi Huang, Jing Cheng +8
The deep learning methods have achieved attractive performance in dynamic MR cine imaging. However, all of these methods are only driven by the sparse prior of MR images, while the…
Positive Contrast Susceptibility MR Imaging Using GPU-based Primal-Dual Algorithm
Haifeng Wang, Fang Cai, Caiyun Shi +7
The susceptibility-based positive contrast MR technique was applied to estimate arbitrary magnetic susceptibility distributions of the metallic devices using a kernel deconvolution…
An Unsupervised Deep Learning Method for Multi-coil Cine MRI
Ziwen Ke, Jing Cheng, Leslie Ying +3
Deep learning has achieved good success in cardiac magnetic resonance imaging (MRI) reconstruction, in which convolutional neural networks (CNNs) learn a mapping from the undersamp…
T1rho Fractional-order Relaxation of Human Articular Cartilage
Lixian Zou, Haifeng Wang, Yanjie Zhu +8
T1rho imaging is a promising non-invasive diagnostic tool for early detection of articular cartilage degeneration. A mono-exponential model is normally used to describe the T1rho r…
Application of Time-Fractional Order Bloch Equation in Magnetic Resonance Fingerprinting
Haifeng Wang, Lixian Zou, Huihui Ye +4
Magnetic resonance fingerprinting (MRF) is one novel fast quantitative imaging framework for simultaneous quantification of multiple parameters with pseudo-randomized acquisition p…