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» Robust brain activation detection in functional MRI
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CVPR
2011
IEEE
12 years 11 months ago
Generalized Group Sparse Classifiers with Application in fMRI Brain Decoding
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...
Bernard Ng, Rafeef Abugharbieh
ISBI
2002
IEEE
14 years 8 months ago
A spatially robust ICA algorithm for multiple fMRI data sets
In this paper we derive an independent-component analysis (ICA) method for analyzing two or more data sets simultaneously. Our model extracts independent components common to all ...
Ana S. Lukic, Miles N. Wernick, Lars Kai Hansen, J...
KDD
2000
ACM
162views Data Mining» more  KDD 2000»
13 years 11 months ago
Data Mining from Functional Brain Images
Recent advances in functional brain imaging enable identication of active areas of a brain performing a certain function. Induction of logical formulas describing relations betwee...
Mitsuru Kakimoto, Chie Morita, Yoshiaki Kikuchi, H...
ARTMED
2002
84views more  ARTMED 2002»
13 years 7 months ago
An evaluation of methods for detecting brain activations from functional neuroimages
Ana S. Lukic, Miles N. Wernick, Stephen C. Strothe...
JOCN
2010
90views more  JOCN 2010»
13 years 2 months ago
Cognitive and Motor Loops of the Human Cerebro-cerebellar System
We applied fMRI and diffusion-weighted MRI to study the segregation of cognitive and motor functions in the human cerebrocerebellar system. Our fMRI results show that a load incre...
Juha Salmi, Karen Johanne Pallesen, Tuomas Neuvone...