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» Improve brain registration using machine learning methods
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ISBI
2004
IEEE
14 years 8 months ago
Multi-Channel Registration of Diffusion Tensor Images Using Directional Information
The problem of registering Diffusion Tensor (DT) images is considered. We describe a novel intensity based registration method capable of performing affine and nonlinear registrat...
Gustavo K. Rohde, Sinisa Pajevic, Carlo Pierpaoli
ICDM
2008
IEEE
120views Data Mining» more  ICDM 2008»
14 years 1 months ago
Prediction of Skin Penetration Using Machine Learning Methods
Improving predictions of the skin permeability coefficient is a difficult problem. It is also an important issue with the increasing use of skin patches as a means of drug deliv...
Yi Sun, Gary P. Moss, Maria Prapopoulou, Rod Adams...
ICALT
2008
IEEE
14 years 1 months ago
HABITAT: A Web Supported Treatment for Acquired Brain Injured
The rehabilitation of a patient with Acquired Brain Injury begins during the acute treatment phase. It is important to focus on maximizing the patient's capabilities at home ...
Elena Navarro, Víctor López-Jaquero,...
BMCBI
2007
153views more  BMCBI 2007»
13 years 7 months ago
Analysis of nanopore detector measurements using Machine-Learning methods, with application to single-molecule kinetic analysis
Background: A nanopore detector has a nanometer-scale trans-membrane channel across which a potential difference is established, resulting in an ionic current through the channel ...
Matthew Landry, Stephen Winters-Hilt
ICPR
2006
IEEE
14 years 1 months ago
An Improved Semi-Supervised Support Vector Machine Based Translation Algorithm for BCI Systems
In this study, we propose an improved semi-supervised support vector machine (SVM) based translation algorithm for brain-computer interface (BCI) systems, aiming at reducing the t...
Jianzhao Qin, Yuanqing Li