1004 search results - page 27 / 201 » Subspace Models for Functional MRI Data Analysis |
81
Voted
ISBI
2004
IEEE
15 years 10 months ago
2004
IEEE
We propose a new detection algorithm for functional magnetic resonance imaging (fMRI) data. Our basic idea is to use an extended Kalman filter (EKF) to fit a general linear model ...
82
Voted
ICDM
2007
IEEE
15 years 1 months ago
2007
IEEE
Recently the problem of dimensionality reduction (or, subspace learning) has received a lot of interests in many fields of information processing, including data mining, informati...
76
Voted
ISBI
2004
IEEE
15 years 10 months ago
2004
IEEE
Diffusion-Tensor MRI can be used to measure fibre orientation within the brain. Several studies have proposed methods to reconstruct known white matter fibre tracts in the brain. ...
ICANN
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. Over the last few years, functional Magnetic Resonance Imaging (fMRI) has emerged as a new and powerful method to map the cognitive states of a human subject to specific...
199
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IPMI
2011
Springer
14 years 1 months ago
2011
Springer
Many current medical image analysis problems involve learning thousands or even millions of model parameters from extremely few samples. Employing sparse models provides an effecti...