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Accelerated MR parametric mapping with a hybrid deep learning model

Accelerating spin-lock imagingusing signal compensated low-rank plus sparse matrix decomposition

Accelerating T1? mapping using patch-based low-rank tensor

Author:Yuanyuan Liu  Zhuo-Xu Cui  Xin Liu  Dong Liang  Yanjie Zhu  

Session Type:Digital Poster  

Session Date:Monday, 17 May 2021  

Topic:CEST, MT & T1?  

Session Name:T1?, MT & CEST  

Program Number:1471  

Room Session:Concurrent 4  

Institution:Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences  

The Comparison of denoising methods for cardiac diffusion tensor imaging

DEMO: Deep MR Parametric Mapping using Unsupervised Multi-tasking Framework

Importance of Clinical MRI Features in Predicting Epilepsy Drug Treatment Outcome for Pediatric Tuberous Sclerosis Complex

Improved CS-MRI using Hybrid Plug-and-Play Priors based Fast Composite Splitting Algorithm

A Plug-and-play Low-rank Network Modulein Dynamic MR Imaging

Rapid MR Parametric Mapping using Deep Learning

Reduced Field of View Parallel Imaging with Wave Encoded k-Space Trajectory

Resolving fold-over artefacts for Reduced Field-of-View Parallel Imaging with Cartesian Sampling

SuperMAP: Superfast MR Mapping with Joint Under-sampling using Deep Combined Network

VCC-Wave for Improved Parallel MRI of High Resolution and High Bandwidth