Mathematical Image Analysis
The focus of the mathematical image analysis lab is on modeling and developing numerical methods for nonlinear statistics, variational problems, and geometry on Riemannian Manifolds and more general metric spaces.
The imaging problems we tackle: 3D tomographic reconstruction, segmentation, registration and atlas generation in medical images, mathematical aspects of computational anatomy and shape space modeling including tree like shape spaces. Application include airway trees, brain image and morphological analysis, and functional analysis of imaging data.
- Image Based Quantification of Anatomical Change
Diffeomorphic image registration for analysis of coma patients and Alzheimer's disease. - Learning Imaging Biomarkers
Image based biomarker identification for breast cancer, osteoporosis, osteoarthritis and atherosclerosis. - Centre for Stochastic Geometry and Advanced Bioimaging
Predicting Petrophysical Parameters - Distributed Video Coding and Processing
- Robust Geometric Graph Kernels for Bioimaging Applications
People
| Name | Title | Phone | |
|---|---|---|---|
| Darkner, Sune | Professor | +4535335702 | |
| Lauze, Francois | Associate Professor | +4535335671 | |
| Steenstrup Pedersen, Kim | Professor | +4535321455 |
Contact
Francois Lauze
Associate Professor
francois@diku.dk