Discovery Early Career Researcher Award - Grant ID: DE240100168

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DE240100168

Funding Status
Active

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Funded Activity Summary

Self-Supervised Sequential Biomedical Image-Omics. This project aims to develop a self-supervised sequential biomedical image-omics model to uncover the underlying biological processes e.g., normal or abnormal. Sequential biomedical images are state-of-the-art imaging modalities which allow to depict changes in progression to the human body. New self-supervised machine learning algorithms are proposed to derive features from heterogenous and unlabelled sequential images. These derived features will then be used to characterise the morphological and functional changes, which provide opportunities to increase understanding of progression of diseases of individual subject. The outcome from this project will provide new insights into system biology with potential future benefits in healthcare.

Funded Activity Details

Start Date: 01-01-2024

End Date: 31-12-2026

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $413,847.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Computer vision and multimedia computation | Pattern recognition | Image processing | Biomedical imaging

ANZSRC Socio-Economic Objective (SEO)

Other Keywords

Biomedical imaging | Computer vision and multimedia computation | Health System Performance (Incl. Effectiveness of Programs) | Image processing | Pattern recognition

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