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» Using Image Stimuli to Drive fMRI Analysis
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ICML
2006
IEEE
16 years 14 days ago
Hidden process models
We introduce Hidden Process Models (HPMs), a class of probabilistic models for multivariate time series data. The design of HPMs has been motivated by the challenges of modeling h...
Rebecca Hutchinson, Tom M. Mitchell, Indrayana Rus...
91
Voted
IPMI
2003
Springer
16 years 15 days ago
Fusion of Autoradiographies with an MR Volume Using 2-D and 3-D Linear Transformations
The recent development of 3-D medical imaging devices has given access to the 3-D imaging of in vivo tissues, from an anatomical (MR, CT) or even functional point of view (fMRI, PE...
Eric Bardinet, Grégoire Malandain
101
Voted
MICCAI
1999
Springer
15 years 3 months ago
Analysis of Functional MRI Data Using Mutual Information
Abstract. A new information-theoretic approach is presented for analyzing fMRI data to calculate the brain activation map. The method is based on a formulation of the mutualinforma...
Andy Tsai, John W. Fisher III, Cindy Wible, Willia...
IPMI
2009
Springer
16 years 15 days ago
Multimodal Functional Imaging Using fMRI-Informed Regional EEG/MEG Source Estimation
Abstract. We propose a novel method, fMRI-Informed Regional Estimation (FIRE), which utilizes information from fMRI in E/MEG source reconstruction. FIRE takes advantage of the spat...
Aapo Nummenmaa, Matti Hämäläinen, P...
IPMI
2001
Springer
16 years 15 days ago
Spatio-temporal Covariance Model for Medical Images Sequences: Application to Functional MRI Data
Spatial and temporal correlations which affect the signal measured in functional MRI (fMRI) are usually not considered simultaneously (i.e., as non-independent random processes) in...
Frithjof Kruggel, Habib Benali, Mélanie P&e...