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» Data Mining from Functional Brain Images
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BILDMED
2009
160views Algorithms» more  BILDMED 2009»
15 years 23 days ago
Multimodal Visualization of DTI and fMRI Data Using Illustrative Methods
Designing multimodal visualizations combining anatomical and functional brain data is a demanding task. Jainek et al. [1] applied illustrative rendering techniques to obtain a high...
Silvia Born, Werner M. Jainek, Mario Hlawitschka, ...
IPMI
2005
Springer
15 years 5 months ago
Cortical Surface Alignment Using Geometry Driven Multispectral Optical Flow
Spatial normalization is frequently used to map data to a standard coordinate system by removing inter-subject morphological differences, thereby allowing for group analysis to be ...
Duygu Tosun, Jerry L. Prince
MICCAI
2010
Springer
14 years 10 months ago
Multi-Class Sparse Bayesian Regression for Neuroimaging Data Analysis
The use of machine learning tools is gaining popularity in neuroimaging, as it provides a sensitive assessment of the information conveyed by brain images. In particular, finding ...
Vincent Michel, Evelyn Eger, Christine Keribin, Be...
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...
112
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RSCTC
2004
Springer
237views Fuzzy Logic» more  RSCTC 2004»
15 years 5 months ago
An Automated Multi-spectral MRI Segmentation Algorithm Using Approximate Reducts
Abstract. We introduce an automated multi-spectral MRI segmentation technique based on approximate reducts derived from the data mining paradigm of the theory of rough sets. We uti...
Sebastian Widz, Kenneth Revett, Dominik Slezak