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Grant Award View - GA188760-V1
Robust, valid and interpretable deep learning for quantitative imaging
GA ID:
GA188760-V1
Agency:
Australian Research Council
Approval Date:
13-Sep-2021
Variation Publish Date:
6-Oct-2021
Variation Date:
13-Sep-2021
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
13-Sep-2021 to 30-Jun-2024
Value (AUD):
$380,115.00
(GST inclusive where applicable)
Varies:
GA188760
- Robust, valid and interpretable deep learning for quantitative imaging
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 21/22 Linkage
Grant Program:
Linkage Projects
Grant Activity:
Robust, valid and interpretable deep learning for quantitative imaging
Purpose:
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.
GO ID:
GO Title:
Linkage Projects for funding applied for in 2020
Internal Reference ID:
LP20 Round 3
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
The University of Queensland
Recipient ABN:
63 942 912 684
Grant Recipient Location
Suburb:
ST LUCIA
Town/City:
ST LUCIA
Postcode:
4067
State/Territory:
QLD
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
QLD
Postcode:
4067
Country:
AUSTRALIA