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Difference between revisions of "Comparative Morphological Analysis of Brain Structures"

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* Method conference. Initial method description and case study.
 
* Method conference. Initial method description and case study.
 
* Journal article. Robust experimental study and application to clinical data.
 
* Journal article. Robust experimental study and application to clinical data.
 
 
fully automatic framework to detect and extract arbitrary human motion volumes from real-world videos collected from YouTube. Our system is composed of two stages. A person detector is first applied to provide crude information about the possible locations of humans. Then a constrained clustering algorithm groups the detections and rejects false positives based on the appearance similarity and spatio-temporal coherence. In the second stage, we apply a top-down pictorial structure model to complete the extraction of the humans in arbitrary motion. During this procedure, a density propagation technique based on a mixture of Gaussians is employed to propagate temporal information in a principled way. This method reduces greatly the search space for the measurement in the inference stage. We demonstrate the initial success of this framework both quantitatively and qualitatively by using a number of YouTube videos.
 
 
<!--[[Category:Projects]]
 
[[Category:BrainProjects]]
 
''To start editing''
 
== Conscious State Characterization ==
 
* [[Structural changes as conscious state (VS, MCS and control) biomarkers]]
 
* [[Structure Analysis for Conscious State Characterization]]
 
 
== Applications ==
 
* [[Affectations of the Neuromotor System by Preterm Brain Injury]]
 
 
== Documents and Tutorials ==
 
* [[FSL]]
 
* [[SPM]]
 
* [[Freesurfer]]
 
 
== References ==
 
http://en.wikibooks.org/wiki/SPM/Programming_intro
 
--!>
 

Revision as of 11:41, 26 August 2013

Contents

People

  • Darwin Martinez
  • Hugo Franco
  • Francisco Gómez

Summary

We propose a novel morphological brain structural characterization method based on relative morphological measures.

Method overview

Data sources

Results (Expected)

  • Clinical conference. Morphological changes on dissorder of conscioussness patients.
  • Method conference. Initial method description and case study.
  • Journal article. Robust experimental study and application to clinical data.