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Assessing the value of a priori information in solving the MEG inverse problem
Gavriela Vranou
Department of Neuroscience and Biomedical Engineering
Research output
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Thesis
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Master's thesis
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Dive into the research topics of 'Assessing the value of a priori information in solving the MEG inverse problem'. Together they form a unique fingerprint.
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Computer Science
Priori Information
100%
Inverse Problem
100%
Models
50%
Channels
12%
Simulation
12%
Accuracy
12%
Open Source Software
12%
Activation
12%
Source Localization
12%
Noise-to-Signal Ratio
12%
Spatial Information
12%
Bayesian Approach
12%
Software Frameworks
12%
Linear System
12%
Resolution Image
12%
Source Location
12%
Technical Approach
12%
Medicine and Dentistry
Magnetoencephalography
100%
Imaging Technique
50%
Magnetic Resonance Imaging
25%
Brain
25%
Signal-to-Noise Ratio
25%
Accuracy
12%
Head
12%
Neuroscience
Magnetoencephalography
100%
Magnetic Resonance Imaging
25%