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EEG and MRI data fusion for early diagnosis of alzheimer's disease
Tejash Patel
, Robi Polikar
, Christos Davatzikos
, Christopher M. Clark
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
10
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Scopus citations
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Dive into the research topics of 'EEG and MRI data fusion for early diagnosis of alzheimer's disease'. Together they form a unique fingerprint.
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Keyphrases
Alzheimer's Disease
100%
MRI Data
100%
EEG Data
100%
Alzheime's Disease
100%
Early Diagnosis of Alzheimer's Disease
100%
New Drugs
50%
Fusion Approach
50%
Decision Fusion
50%
Diagnostic Tool
25%
Dementia
25%
Diagnostic Accuracy
25%
Clinical Evaluation
25%
Scalp
25%
Community Hospital
25%
Regional Brain Atrophy
25%
Progression Rate
25%
Automated Diagnosis
25%
Event-related Potentials
25%
Heterogeneous Data Sources
25%
Ensemble Classifier
25%
Population Increase
25%
Data Fusion Method
25%
MRI Based
25%
Medicine and Dentistry
Magnetic Resonance Imaging
100%
Early Diagnosis
100%
Alzheimer's Disease
100%
Diagnosis of Alzheimer's Disease
100%
Electroencephalography
100%
Prevalence
25%
Clinical Trial
25%
Scalp
25%
Diagnostic Accuracy
25%
Cerebral Atrophy
25%
Event-Related Potential
25%
Social Sciences
Diseases
100%
Magnetic Resonance Imaging
100%
Early Diagnosis
100%
Electroencephalography
100%
Population Increase
16%
Event-Related Potential
16%
Prevalence
16%
Clinical Trial
16%
Neuroscience
Magnetic Resonance Imaging
100%
Alzheimer's Disease
100%
Electroencephalography
100%
Event-Related Potential
16%
Computer Science
Data Fusion
100%
Data Source
50%
Enterprise Resource Planning
50%
Heterogeneous Data
50%