ARC Future Fellowships - Grant ID: FT130101394

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/FT130101394

Funding Status
Closed

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Funded Activity Summary

Efficient learning from multiple brain imaging data sets. Brain imaging data analysis methods have proven to be very effective in the study of brain functions and the identification of brain disorders because they minimise the modelling assumptions on the underlying structure of the problem. Analysis of multiple brain imaging data sets, either of the same modality as in multitask or multisubject data sets or from different modalities as in the case of data fusion, is a challenging problem in biomedical image analysis. This project will lead to fundamental contributions as well as techniques that address both problems: extraction of relevant features information from multisubject brain imaging data sets of the same modality or from fusion of brain imaging data sets collected from multimodalities.

Funded Activity Details

Start Date: 16-06-2014

End Date: 30-11-2019

Funding Scheme: ARC Future Fellowships

Funding Amount: $606,740.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Signal Processing | Biomedical Engineering not elsewhere classified | Image Processing | Artificial Intelligence and Image Processing

ANZSRC Socio-Economic Objective (SEO)

Expanding Knowledge in Engineering | Neurodegenerative Disorders Related to Ageing | Mental Health |

Other Keywords

Artificial Intelligence and Image Processing | Biomedical Engineering not elsewhere classified | Expanding Knowledge in Engineering | Image Processing | Mental Health | Neurodegenerative Disorders Related to Ageing | Signal Processing

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