Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP220102197
Funding Status
Active
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Funded Activity Summary
Shape4D: Modelling the Spatiotemporal Deformation Patterns in 3D Shapes. This research will develop new mathematical methods and algorithms that will enable the use of population-level longitudinal studies to model the spatial and temporal deformation patterns in 3D biological objects. Using novel geometric and deep learning techniques, it will create new methods that will allow the characterization of how the 3D shape of objects deforms with ageing, disease progression and interaction with their environment, and the simulation of spatiotemporal deformations in anatomical organs. Benefits include a better understanding of growth processes, predictive models of how degenerative diseases progress and a computational framework that will assist in designing proper mitigation and intervention strategies.Funded Activity Details
Start Date: 12-2022
End Date: 12-2025
Funding Scheme: Discovery Projects
Funding Amount: $495,000.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Computer Vision | Artificial Intelligence and Image Processing
