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» Analysis of Functional Magnetic Resonance Imaging in Python
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MICCAI
2004
Springer
14 years 8 months ago
Segmentation of 3D Probability Density Fields by Surface Evolution: Application to Diffusion MRI
We propose an original approach for the segmentation of three-dimensional fields of probability density functions. This presents a wide range of applications in medical images proc...
Christophe Lenglet, Mikaël Rousson, Rachid De...
CCGRID
2007
IEEE
14 years 1 months ago
Parameter Sweeps for Functional MRI Research in the "Virtual Laboratory for e-Science" Project
Image analysis is an important component of neuroscience research. The ICT infrastructure and technical knowledge needed to perform (large scale) neuroimaging studies, however, is...
Sílvia Delgado Olabarriaga, Aart J. Nederve...
ICONFERENCE
2011
13 years 2 months ago
Icons: pictures or logograms?
The author proposed three studies (i.e. a large-N survey, a behavioral experiment, and a functional magnetic resonance imaging research) to investigate whether people read icons a...
Sheng-Cheng Huang
MICCAI
2009
Springer
14 years 8 months ago
Evaluation of q-Space Sampling Strategies for the Diffusion Magnetic Resonance Imaging
We address the problem of efficient sampling of the diffusion space for the Diffusion Magnetic Resonance Imaging (dMRI) modality. While recent scanner improvements enable the acqui...
Haz-Edine Assemlal, David Tschumperlé, Luc ...
IJON
2006
148views more  IJON 2006»
13 years 7 months ago
Spatio-temporal dynamics in fMRI recordings revealed with complex independent component analysis
Abstract. Independent component analysis (ICA) of functional magnetic resonance imaging (fMRI) data is commonly carried out under the assumption that each source may be represented...
Jörn Anemüller, Jeng-Ren Duann, Terrence...