User:SxE00: Difference between revisions

From OpenWetWare
Jump to navigationJump to search
No edit summary
No edit summary
Line 1: Line 1:
__NOTOC__
{|cellspacing="1" cellpadding="10" style="background:#ffffff; width: 90%;"
|-valign="top"
|style="background:#fffff0" align="right"|
<font size="4">Matthieu BULTELLE</font size>
<font size="2">Department of Bioengineering<br>
Imperial College London<br>
South Kensington, SW7<br>
London, UK<br>
email: matthieu.bultelle@gmail.com
</font size>
|}
Phd student at Imperial College London under the supervision of Prof R.Kitney.
My research project deals with developing robust techniques for the processing of 'difficult' medical images, especially the restoration and segmentation of such images.
Of particular interest to me is the development of independent techniques that automatically estimate the most adequate values of their parameters for the set of data they process.
== Education==
== Education==
*PhD candidate at Imperial College London
*PhD candidate at Imperial College London

Revision as of 05:04, 19 September 2006


Matthieu BULTELLE

Department of Bioengineering
Imperial College London
South Kensington, SW7
London, UK

email: matthieu.bultelle@gmail.com

Phd student at Imperial College London under the supervision of Prof R.Kitney.

My research project deals with developing robust techniques for the processing of 'difficult' medical images, especially the restoration and segmentation of such images. Of particular interest to me is the development of independent techniques that automatically estimate the most adequate values of their parameters for the set of data they process.

Education

  • PhD candidate at Imperial College London
  • MS.c In Telecommunications at King's College London
  • DEA in Differential Equations (Ordinary and Partial) at ECL/ENS LYON
  • Ecole Centrale de LYON (Mathematics Option)

Research Interests

  • Diffusion Equations for Image Processing (Especially Non-linear equations)
  • Bayesian Decision Theory and Game Theory
  • Phd Subject : Medical Image Processing
    • Image Restoration
    • Feature Extraction
    • segmentation