Explore the words cloud of the GEOCA project. It provides you a very rough idea of what is the project "GEOCA" about.
The following table provides information about the project.
Coordinator |
CHALMERS TEKNISKA HOEGSKOLA AB
Organization address contact info |
Coordinator Country | Sweden [SE] |
Project website | https://www.chalmers.se/en/projects/Pages/Geometry-and-Computational-Anatomy-QGEOCAQ.aspx |
Total cost | 185˙857 € |
EC max contribution | 185˙857 € (100%) |
Programme |
1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility) |
Code Call | H2020-MSCA-IF-2014 |
Funding Scheme | MSCA-IF-EF-ST |
Starting year | 2015 |
Duration (year-month-day) | from 2015-03-01 to 2017-06-15 |
Take a look of project's partnership.
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1 | CHALMERS TEKNISKA HOEGSKOLA AB | SE (GOETEBORG) | coordinator | 185˙857.00 |
The past decades have brought fascinating technological improvements of medical imaging techniques. This rapid development is accompanied by a growing need for computer based algorithms to align and extract markers from medical images. The days of heuristically engineered computer algorithms are, however, over; competitive, state-of-the-art medical imaging software must be based on rigorous mathematics to ensure accuracy, efficiency, and stability.
Our research project lies at the forefront of computational anatomy (CA), a truly interdisciplinary field within medical imaging, combining differential equations theory, numerical analysis, computer vision, statistical methods, and differential geometry. CA is an emerging field that harbours a wealth of challenging problems. In particular, to develop image registration algorithms capable of handling heavily nonlinear deformations. In this project we construct image registration algorithms beyond state-of-the-art, adept of tasks where today's methods are inadequate. This is achieved by combining the knowledge of Professor Stig Larsson (scientist in charge) with the knowledge of Dr Klas Modin (experienced researcher).
Larsson is a world-leading expert on numerical methods for partial differential equations. He has a large network of international collaborators as well as close connections to the medical imaging industry in Sweden.
Modin has extensive expertise on geometric integration (GI), infinite-dimensional geometry, and CA, acquired via two post-doctoral positions at top research groups in two third countries. He thus brings state-of-the-art knowledge to the European research area. In particular, Modin's mastery of large deformation diffeomorphic metric matching (LDDMM) and Euler--Arnold equations is essential; it provides the link between image registration and PDEs. This link is the basis of the new, exciting methodology in the project: to apply state-of-the-art numerical PDE techniques to image registration.
year | authors and title | journal | last update |
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2017 |
M. Bauer, S. Joshi, K. Modin Diffeomorphic random sampling using optimal information transport published pages: , ISSN: , DOI: |
3rd conference on Geometric Science of Information (GSI2017) | 2019-07-24 |
2017 |
Martin Bauer, Sarang Joshi, Klas Modin On geodesic completeness for Riemannian metrics on smooth probability densities published pages: , ISSN: 0944-2669, DOI: 10.1007/s00526-017-1195-8 |
Calculus of Variations and Partial Differential Equations 56/4 | 2019-07-24 |
2015 |
Martin Bauer, Sarang Joshi, and Klas Modin Weighted Diffeomorphic Density Matching with Applications to Thoracic Image Registration published pages: , ISSN: , DOI: |
Proc. 5th MICCAI Workshop on Mathematical Foundations of Computational Anatomy (MFCA) | 2019-07-24 |
2016 |
Robert I McLachlan, Klas Modin, Olivier Verdier Symmetry reduction for central force problems published pages: 55003, ISSN: 0143-0807, DOI: 10.1088/0143-0807/37/5/055003 |
European Journal of Physics 37/5 | 2019-07-24 |
2017 |
J. Benn, S. Marsland, R. McLachlan, K. Modin, O. Verdier Currents and finite elements as tools for shape space published pages: , ISSN: , DOI: |
Preprint (currently under peer-review) | 2019-07-24 |
2015 |
Martin Bauer, Sarang Joshi, Klas Modin Diffeomorphic Density Matching by Optimal Information Transport published pages: 1718-1751, ISSN: 1936-4954, DOI: 10.1137/151006238 |
SIAM Journal on Imaging Sciences 8/3 | 2019-07-24 |
2016 |
S. Larsson, T. Matsuo, K. Modin, M. Molteni Discrete Variational Derivative Methods for the EPDiff Equation published pages: , ISSN: , DOI: |
Preprint (currently inder peer-review) | 2019-07-24 |
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The information about "GEOCA" are provided by the European Opendata Portal: CORDIS opendata.