Mathematical Image Analysis

We are interested in inverse problems, such as: 

  • Inference of brain anatomy from diffusion weighted magnetic resonance imaging (tractography, connectivity)
  • Detection, enhancement, completion, and geometric analysis of elongated structures in 2-and 3-dimensional images
  • AI enhanced geometric image analysis
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Development of new methodologies and algorithms for the聽representation and analysis of complex imaging data聽(`big images鈥�) for聽healthcare applications.

Our methodological approach relies on a broad spectrum of mathematical techniques, such as
鈥� Finsler geometry
鈥� tensor calculus
鈥� Lie group theory
鈥� calculus of variations
鈥� geometric control theory
鈥� semigroup theory for multiresolution
representations
鈥� ordinary and partial differential equations
鈥� deep learning

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Our most recent peer reviewed publications

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