Skip to main navigation
Skip to search
Skip to main content
Korea University Pure Home
Home
Profiles
Research units
Equipment
Research output
Press/Media
Search by expertise, name or affiliation
Acceleration of High-Resolution 3D MR Fingerprinting via a Graph Convolutional Network
Feng Cheng
, Yong Chen
, Xiaopeng Zong
, Weili Lin
, Dinggang Shen
, Pew Thian Yap
*
*
Corresponding author for this work
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
4
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Acceleration of High-Resolution 3D MR Fingerprinting via a Graph Convolutional Network'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
High-resolution
100%
Magnetic Resonance Fingerprinting
100%
MR Fingerprinting
100%
Graph Convolutional Network
100%
High Spatial Resolution
16%
Clinical Application
16%
Clinical Setting
16%
Deep Learning Methods
16%
Acquisition Speed
16%
Quantification Accuracy
16%
K-space
16%
Simultaneous Quantification
16%
Tissue Properties
16%
Graph-based
16%
Multiple Tissues
16%
Novel Imaging
16%
Fingerprinting Technique
16%
Convolutional Neural Network
16%
Non-Cartesian
16%
Tissue Quantification
16%
Fast Quantification
16%
Spiral Trajectory
16%
Whole-brain Coverage
16%
Slice Encoding
16%
Neuroscience
Neural Network
100%
Psychology
Neural Network
100%