Development of new methodologies and algorithms for the representation and analysis of complex imaging data (`big images’) for healthcare applications.
Our methodological approach relies on a broad spectrum of mathematical techniques, such as
• Finsler geometry
• tensor calculus
• Lie group theory
• calculus of variations
• geometric control theory
• semigroup theory for multiresolution
representations
• ordinary and partial differential equations
• deep learning
Meet some of our Researchers
Recent Publications
Our most recent peer reviewed publications
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Can structure predict function at individual level in the human connectome?
Brain Structure and Function (2024) -
Geodesic Tracking via New Data-Driven Connections of Cartan Type for Vascular Tree Tracking
Journal of Mathematical Imaging and Vision (2024) -
Working memory performance in glioma patients is associated with functional connectivity between the right dorsolateral prefrontal cortex and default mode network
Journal of Neuroscience Research (2023) -
Analysis of (sub-)Riemannian PDE-G-CNNs
Journal of Mathematical Imaging and Vision (2023) -
Subject-Specific Automatic Reconstruction of White Matter Tracts
Journal of Digital Imaging (2023)
Contact
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Visiting address
MetaforumGroene Loper 55612 AP EindhovenNetherlands -
Visiting address
MetaforumGroene Loper 55612 AP EindhovenNetherlands -
Postal address
MetaforumP.O. Box 5135600 MB EindhovenNetherlands -
Secretarycasa@ tue.nl