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» Robust brain activation detection in functional MRI
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TMI
2002
107views more  TMI 2002»
14 years 11 months ago
Volumetric Segmentation of Brain Images Using Parallel Genetic Algorithms
Active model-based segmentation has frequently been used in medical image processing with considerable success. Although the active model-based method was initially viewed as an op...
Yong Fan, Tianzi Jiang, David J. Evans
TMI
2008
136views more  TMI 2008»
14 years 11 months ago
Classification of fMRI Time Series in a Low-Dimensional Subspace With a Spatial Prior
We propose a new method for detecting activation in functional magnetic resonance imaging (fMRI) data. We project the fMRI time series on a low-dimensional subspace spanned by wave...
François G. Meyer, Xilin Shen
TMI
1998
155views more  TMI 1998»
14 years 11 months ago
Spatio-temporal fMRI Analysis using Markov Random Fields
Abstract—Functional magnetic resonance images (fMRI’s) provide high-resolution datasets which allow researchers to obtain accurate delineation and sensitive detection of activa...
Xavier Descombes, Frithjof Kruggel, D. Yves von Cr...
IPMI
2005
Springer
16 years 16 days ago
Analysis of Event-Related fMRI Data Using Diffusion Maps
The blood oxygen level-dependent (BOLD) signal in response to brief periods of stimulus can be detected using event-related functional magnetic resonance imaging (ER-fMRI). In this...
François G. Meyer, Xilin Shen
NIPS
2004
15 years 1 months ago
Detecting Significant Multidimensional Spatial Clusters
Assume a uniform, multidimensional grid of bivariate data, where each cell of the grid has a count ci and a baseline bi. Our goal is to find spatial regions (d-dimensional rectang...
Daniel B. Neill, Andrew W. Moore, Francisco Pereir...