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CVPR
2005
IEEE
14 years 7 months 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...
MICCAI
2005
Springer
14 years 5 months ago
Exploiting Temporal Information in Functional Magnetic Resonance Imaging Brain Data
Functional Magnetic Resonance Imaging(fMRI) has enabled scientists to look into the active human brain, leading to a flood of new data, thus encouraging the development of new data...
Lei Zhang 0002, Dimitris Samaras, Dardo Tomasi, Ne...
NIPS
2004
13 years 6 months ago
Optimal Aggregation of Classifiers and Boosting Maps in Functional Magnetic Resonance Imaging
We study a method of optimal data-driven aggregation of classifiers in a convex combination and establish tight upper bounds on its excess risk with respect to a convex loss funct...
Vladimir Koltchinskii, Manel Martínez-Ram&o...
WSCG
2003
167views more  WSCG 2003»
13 years 6 months ago
Vector-valued Image Restoration with Applications to Magnetic Resonance Velocity Imaging
The analysis of blood flow patterns and the interaction between salient topological flow features and cardiovascular structure plays an important role in the study of cardiovascul...
Yin-Heung Pauline Ng, Guang-Zhong Yang
ICIP
1994
IEEE
14 years 6 months ago
Theory, Simulation and Compensation of Physiological Motion Artifacts in Functional MRI
Mapping the location of brain activity is a new and exciting application of magnetic resonance imaging (MRI). This application area has already seen the use of a variety of magnet...
Douglas C. Noll, Walter Schneider