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» Improve brain registration using machine learning methods
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113
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ISBI
2004
IEEE
16 years 3 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
111
Voted
ICDM
2008
IEEE
120views Data Mining» more  ICDM 2008»
15 years 9 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
15 years 9 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,...
143
Voted
BMCBI
2007
153views more  BMCBI 2007»
15 years 2 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
141
Voted
ICPR
2006
IEEE
15 years 8 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