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It allows us to extract probabilistic information from the data, and to probabilistically combine information from multiple modalities. Bayes can also be used ...
It allows us to extract probabilistic information from the data, and to probabilistically combine information from multiple modalities. Bayes can also be used ...
Bayesian analysis of neuroimaging data in FSL ; 資料種別: 記事 ; 著者: Mark W. Woolrichほか ; 出版者: Elsevier BV ; 出版年: 2009-03 ; 掲載誌名: NeuroImage 45 1.
This paper presents a new, image-based method for correcting susceptibility artifacts. The method relies on a variational formulation of the match between an ...
Typically in neuroimaging we are looking to extract some pertinent information from imperfect, noisy images of the brain. This might be the inference of ...
It allows us to extract probabilistic information from the data, and to probabilistically combine information from multiple modalities. Bayes can also be used ...
This paper provides a review of the most relevant models developed in recent years for fMRI data, dividing methods according to the objective of the ...
Bayesian analysis of neuroimaging data in FSL ; DOI. 10.1016/j.neuroimage.2008.10.055 ; Type. Journal article ; Journal. NeuroImage ; Publisher. Elsevier BV ...
Thalamocortical functional connectivity in infants with prenatal opioid exposure correlates with severity of neonatal opioid withdrawal syndrome.
関連する質問
What are Bayesian methods in health technology assessment?
What is FSL in neuroimaging?
How Bayesian analysis is used for data analysis?
What is the Bayesian approach in neuroscience?
Bayesian analysis of neuroimaging data in FSL. MW Woolrich, S Jbabdi, B ... Multilevel linear modelling for FMRI group analysis using Bayesian inference.