Skip to main navigation
Skip to search
Skip to main content
Illinois Experts Home
LOGIN & Help
Link opens in a new tab
Search content at Illinois Experts
Home
Profiles
Research units
Research & Scholarship
Datasets
Honors
Press/Media
Activities
B
1
mapping using pre-learned subspaces for quantitative brain imaging
Tianxiao Zhang
, Yibo Zhao
, Wen Jin
, Yudu Li
, Rong Guo
, Ziwen Ke
, Jie Luo
, Yao Li
,
Zhi Pei Liang
Electrical and Computer Engineering
Beckman Institute for Advanced Science and Technology
Information Trust Institute
Bioengineering
Coordinated Science Lab
Biomedical and Translational Sciences
National Center for Supercomputing Applications (NCSA)
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'B
1
mapping using pre-learned subspaces for quantitative brain imaging'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
B1 Map
100%
B1 Field
100%
Brain Imaging
100%
B1 Mapping
100%
Subspace Modeling
100%
Echo Data
66%
Phantom
66%
Inhomogeneity Effects
66%
Machine Learning Techniques
66%
1H-MRS
66%
B1 Inhomogeneity
66%
Spoiled Gradient Echo
66%
Brain Tumor Patients
66%
Density Map
33%
Transmitter
33%
Training Data
33%
Tumor Patients
33%
Patient Data
33%
Proton Density
33%
Machine Learning
33%
Model Learning
33%
Linear Optimization Problem
33%
Prior Distribution
33%
Distribution Constraints
33%
Neurometabolites
33%
Neurometabolic
33%
Variable Flip Angle
33%
B1 Correction
33%
Model-based Machine Learning
33%
Neuroscience
Brain Imaging
100%
Intracranial Tumor
66%