IMAGeS team: IMages, leArning, Geometry and Statistics

TIBM: Group comparison

From IMAGeS team: IMages, leArning, Geometry and Statistics
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Group comparison consists in highlighting the differences between two populations of individuals, with the objective to develop new knowledge in neuroscience. The problem of comparing an individual with a normal model (atlas) is also addressed with the aim to identify pathological areas in a given subject.

  • Thus, work was conducted to demonstrate the advantages of multivariate statistical tests on 2nd order tensor for group study in diffusion MRI 2-BNHLxx.
  • An approach combining dimension reduction and statistical modeling in the reduced space was proposed for the analysis of 4th order tensor, with application to the comparison of an individual with a population and the comparison of two populations [ https://icube-publis.unistra.fr/4-GRHK15 4-GRHK15].
  • Finally, an original approach based on Gaussian Markov Random Field modeling has been proposed for comparing an individual to a normal statistical model with application to the detection of maxillofacial abnormalities 2-Fais12.
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PhD thesis


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