266 search results - page 10 / 54 » Analysis of Functional Magnetic Resonance Imaging in Python |
TMI
1998
13 years 7 months ago
1998
Abstract—Functional magnetic resonance images (fMRI’s) provide high-resolution datasets which allow researchers to obtain accurate delineation and sensitive detection of activa...
VIP
2000
13 years 9 months ago
2000
Emission tomography such as positron emission tomography (PET) and single-photon emission computed tomography (SPECT) can provide in vivo measurements of dynamic physiological and...
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
Independent component analysis (ICA) is a statistical and computational technique for revealing hidden factors that underlie sets of signals. We propose an improved ICA framework ...
ICA
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. In contrast to the traditional hypothesis-driven methods, independent component analysis (ICA) is commonly used in functional magnetic resonance imaging (fMRI) studies to...
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...