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» Subspace Models for Functional MRI Data Analysis
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ISBI
2008
IEEE
15 years 10 months ago
Improved fMRI group studies based on spatially varying non-parametric BOLD signal modeling
Multi-subject analysis of functional Magnetic Resonance Imaging (fMRI) data relies on within-subject studies, which are usually conducted using a massively univariate approach. In...
Philippe Ciuciu, Thomas Vincent, Anne-Laure Fouque...
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MICCAI
2004
Springer
15 years 10 months ago
Solving Incrementally the Fitting and Detection Problems in fMRI Time Series
We tackle the problem of real-time statistical analysis of functional magnetic resonance imaging (fMRI) data. In a recent paper, we proposed an incremental algorithm based on the e...
Alexis Roche, Philippe Pinel, Stanislas Dehaene, J...
MICCAI
2009
Springer
15 years 10 months ago
Nonparametric Mean Shift Functional Detection in the Functional Space for Task and Resting-state fMRI
In functional Magnetic Resonance Imaging (fMRI) data analysis, normalization of time series is an important and sometimes necessary preprocessing step in many widely used methods. ...
Jian Cheng, Feng Shi, Kun Wang, Ming Song, Jiefeng...
IPMI
1999
Springer
15 years 1 months ago
Physiologically Oriented Models of the Hemodynamic Response in Functional MRI
Today, most studies of cognitive processes using functional MRI (fMRI) experiments adopt highly flexible stimulation designs, where not only the activation amount but also the tim...
Frithjof Kruggel, D. Yves von Cramon
ISBI
2011
IEEE
14 years 1 months ago
Exact integration of diffusion orientation distribution functions for graph-based diffusion MRI analysis
Graph-based image analysis methods are increasingly being applied to diffusion MRI (dMRI) analysis. Unfortunately, weighting the graph for these methods involves solving a complex...
Brian G. Booth, Ghassan Hamarneh