118 search results - page 4 / 24 » Exploiting Temporal Information in Functional Magnetic Reson... |
MICCAI
2003
Springer
14 years 8 months ago
2003
Springer
We are in the process of constructing a high resolution, high signal to noise ratio (SNR) dynamic MRI dataset for the human heart using methodology similar to that employed to cons...
TNN
2010
13 years 2 months ago
2010
Statistical learning methods are emerging as a valuable tool for decoding information from neural imaging data. The noisy signal and the limited number of training patterns that ar...
ICCV
2007
IEEE
13 years 11 months ago
2007
IEEE
We present a Diffusion Maps clustering method applied to diffusion MRI in order to segment complex white matter fiber bundles. It is well-known that diffusion tensor imaging (DTI)...
ACIVS
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Functional magnetic resonance (fMRI) data are often corrupted with colored noise. To account for this type of noise, many prewhitening and pre-coloring strategies have be...
CVPR
2011
IEEE
12 years 11 months ago
2011
IEEE
The perplexing effects of noise and high feature dimensionality greatly complicate functional magnetic resonance imaging (fMRI) classification. In this paper, we present a novel f...