287 search results - page 13 / 58 » Maximum Likelihood Estimators in Magnetic Resonance Imaging |
ICASSP
2007
IEEE
15 years 6 months ago
2007
IEEE
— Within-subject analysis in event-related functional Magnetic Resonance Imaging (fMRI) first relies on (i) a detection step to localize which parts of the brain are activated b...
119
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CVPR
2004
IEEE
15 years 3 months ago
2004
IEEE
In many computer vision algorithms, the well known Euclidean or SSD (sum of the squared differences) metric is prevalent and justified from a maximum likelihood perspective when t...
137
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DAGM
2011
Springer
13 years 11 months ago
2011
Springer
Conditional Random Fields (CRFs) are popular models in computer vision for solving labeling problems such as image denoising. This paper tackles the rarely addressed but important ...
MICCAI
2004
Springer
16 years 18 days ago
2004
Springer
Partial volume effects are present in nearly all medical imaging data. These artifacts blur the boundaries between different regions, making accurate delineation of anatomical stru...
IPMI
2009
Springer
16 years 17 days ago
2009
Springer
Abstract. Active imaging is a recently developed approach to modelbased optimisation of imaging protocols. In the application we discuss here, a diffusion magnetic resonance imagin...