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» Using Image Stimuli to Drive fMRI Analysis
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NN
2000
Springer
170views Neural Networks» more  NN 2000»
14 years 11 months ago
Synthetic brain imaging: grasping, mirror neurons and imitation
The article contributes to the quest to relate global data on brain and behavior (e.g. from PET, Positron Emission Tomography, and fMRI, functional Magnetic Resonance Imaging) to ...
Michael A. Arbib, Aude Billard, Marco Iacoboni, Er...
CORR
2011
Springer
150views Education» more  CORR 2011»
14 years 6 months ago
Total variation regularization for fMRI-based prediction of behaviour
—While medical imaging typically provides massive amounts of data, the extraction of relevant information for predictive diagnosis remains a difficult challenge. Functional MRI ...
Vincent Michel, Alexandre Gramfort, Gaël Varo...
BILDMED
2008
141views Algorithms» more  BILDMED 2008»
15 years 1 months ago
Analysis of Cerebral Blood Flow from Small Rodents
The exact knowledge of the blood vessel geometry plays an important role, not only in clinical applications (stroke diagnosis, detection of stenosis), but also for detailed analysi...
Monika Lehmpfuhl, Manuel André Gaudnek, And...
93
Voted
ICIP
2002
IEEE
16 years 1 months ago
An ICA algorithm for analyzing multiple data sets
In this paper we derive an independent-component analysis (ICA) method for analyzing two or more data sets simultaneously. Our model permits there to be components individual to t...
Ana S. Lukic, Lars Kai Hansen, Miles N. Wernick, S...
CVPR
2005
IEEE
16 years 1 months ago
Machine Learning for Clinical Diagnosis from Functional Magnetic Resonance Imaging
Functional Magnetic Resonance Imaging (fMRI) has enabled scientists to look into the active human brain. FMRI provides a sequence of 3D brain images with intensities representing ...
Lei Zhang 0002, Dimitris Samaras, Dardo Tomasi, No...