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Adaptive partial volume classification of MRI data
John Chiverton
, K. Wells
School of Computing
Research output
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peer-review
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Dive into the research topics of 'Adaptive partial volume classification of MRI data'. Together they form a unique fingerprint.
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INIS
data
100%
volume
100%
classification
100%
nmr imaging
100%
images
71%
tissues
57%
simulation
42%
markov process
42%
brain
28%
randomness
28%
humans
14%
distribution
14%
control
14%
mixtures
14%
probabilistic estimation
14%
chains
14%
monte carlo method
14%
Engineering
Partial Volume
100%
Partial Volume Effect
75%
Regularization
75%
Image Region
50%
Random Field
50%
Real Data
25%
Simulated Data
25%
Gradient Magnitude
25%
Posterior Distribution
25%
Image Model
25%
Human Brain
25%
Computer Science
Partial Volume
100%
Regularization
42%
Contiguous Region
28%
Image Gradient
14%
markov chain monte-carlo
14%
Posterior Distribution
14%
Gradient Magnitude
14%
Simulated Data
14%
Material Science
Magnetic Resonance Imaging
100%
Markov Chain Monte Carlo
20%