Linkage Projects - Grant ID: LP200301393

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/LP200301393

Funding Status
Active

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Funded Activity Summary

Robust, valid and interpretable deep learning for quantitative imaging. One of the biggest challenges in employing artificial intelligence is the “black-box” nature of the models used. This project aims to improve the effectiveness and trustworthiness of deep learning within quantitative magnetic resonance imaging. Deep learning has great promise in speeding-up complex image processing tasks, but currently suffers from variable data inputs, predictions are not guaranteed to be plausible and it is not clear to the end user how reliable the results are. The outcomes intend to deliver advanced knowledge and capability in artificial intelligence and machine learning that Australia urgently needs to capitalise on bringing deep learning into practical applications delivering economic, commercial and social impact.

Funded Activity Details

Start Date: 15-02-2022

End Date: 14-02-2025

Funding Scheme: Linkage Projects

Funding Amount: $380,115.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Signal Processing | Simulation and Modelling | Image Processing | Artificial Intelligence and Image Processing

ANZSRC Socio-Economic Objective (SEO)

Scientific Instruments | Expanding Knowledge in the Information and Computing Sciences |

Other Keywords

Artificial Intelligence and Image Processing | Expanding Knowledge in the Information and Computing Sciences | Image Processing | Scientific Instruments | Signal Processing | Simulation and Modelling

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