Discovery Early Career Researcher Award - Grant ID: DE160100241

Funded Activity Summary

Learning Network Structures from Neuroimages for Diagnosing Brain Diseases. This project aims to develop a probabilistic inference framework based on graphical models to enable discriminative, interpretable and reliable analysis of brain imaging data. Recent development of computer-assisted neuroimage analysis calls for advanced pattern recognition methods. To meet this requirement, this project proposes a framework that addresses several critical issues in this process, and to provide important models and algorithms to identify brain connectivity patterns and benefit the diagnosis of diseases. The output of this project is expected to include a set of effective computational algorithms and computer-assisted tools, which can help medical researchers to identify brain disorders with better precision, repeatability and objectivity.

Funded Activity Details

Start Date: 01-06-2016

End Date: 31-03-2020

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $300,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Pattern Recognition and Data Mining | Image Processing | Neurology and Neuromuscular Diseases | Artificial Intelligence and Image Processing

ANZSRC Socio-Economic Objective (SEO)

Expanding Knowledge in the Information and Computing Sciences | Neurodegenerative Disorders Related to Ageing |

Other Keywords

Artificial Intelligence and Image Processing | Expanding Knowledge in the Information and Computing Sciences | Image Processing | Neurodegenerative Disorders Related to Ageing | Neurology and Neuromuscular Diseases | Pattern Recognition and Data Mining

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