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CVPR
2005
IEEE
15 years 26 days ago
Machine Learning for Clinical Diagnosis from Functional Magnetic Resonance Imaging
Functional Magnetic Resonance Imaging (fMRI) has enabled scientists to look into the active human brain. FMRI provides a sequence of 3D brain images with intensities representing ...
Lei Zhang 0002, Dimitris Samaras, Dardo Tomasi, No...
ICASSP
2011
IEEE
13 years 2 months ago
An atlas-based deep brain structure segmentation method: from coarse positioning to fine shaping
Segmentation of deep brain structures is a challenging task for MRI images due to blurry structure boundaries, small object size and irregular shapes. In this paper, we present a ...
Yishan Luo, Albert C. S. Chung
IJCNN
2006
IEEE
14 years 4 months ago
Classifying Single-Trial ERPs from Visual and Frontal Cortex during Free Viewing
—Event-related potentials (ERPs) recorded at the scalp are indicators of brain activity associated with eventrelated information processing; hence they may be suitable for the as...
Akaysha C. Tang, Matthew T. Sutherland, Christophe...
IJCNN
2008
IEEE
14 years 5 months ago
Kernel methods for fMRI pattern prediction
Abstract— In this paper, we present an effective computational approach for learning patterns of brain activity from the fMRI data. The procedure involved correcting motion artif...
Yizhao Ni, Carlton Chu, Craig J. Saunders, John As...
ISBI
2011
IEEE
13 years 2 months ago
3D segmentation of rodent brain structures using Active Volume Model with shape priors
Object boundary extraction is an important task in brain image analysis. Acquiring detailed 3D representations of the brain structures could improve the detection rate of diseases...
Shaoting Zhang, Junzhou Huang, Mustafa Gökhan...