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» Robust brain activation detection in functional MRI
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MICCAI
2010
Springer
13 years 3 months ago
Detecting Brain Activation in fMRI Using Group Random Walker
Due to the complex noise structure of functional magnetic resonance imaging (fMRI) data, methods that rely on information within a single subject often results in unsatisfactory fu...
Bernard Ng, Ghassan Hamarneh, Rafeef Abugharbieh
ISBRA
2007
Springer
13 years 11 months ago
Coclustering Based Parcellation of Human Brain Cortex Using Diffusion Tensor MRI
The fundamental goal of computational neuroscience is to discover anatomical features that reflect the functional organization of the brain. Investigations of the physical connect...
Cui Lin, Shiyong Lu, Danqing Wu, Jing Hua, Otto Mu...
CVPR
2010
IEEE
13 years 10 months ago
Group MRF for fMRI Activation Detection
Noise confounds present serious complications to accurate data analysis in functional magnetic resonance imaging (fMRI). Simply relying on contextual image information often resul...
Bernard Ng, Rafeef Abugharbieh, Ghassan Hamarneh
ISBI
2006
IEEE
14 years 5 months ago
Joint detection-estimation of brain activity in fMRI using an autoregressive noise model
Different approaches have been considered so far to cope with the temporal correlation of fMRI data for brain activity detection. However, it has been reported that modeling this ...
Jérôme Idier, Jean-Baptiste Poline, P...
MICCAI
2006
Springer
14 years 5 months ago
A Nonparametric Bayesian Approach to Detecting Spatial Activation Patterns in fMRI Data
Traditional techniques for statistical fMRI analysis are often based on thresholding of individual voxel values or averaging voxel values over a region of interest. In this paper w...
Hal S. Stern, Padhraic Smyth, Seyoung Kim