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Grant Award View - GA318698
Artificial intelligence empowered multi-modal biomedical imaging
GA ID:
GA318698
Agency:
Australian Research Council
Approval Date:
29-May-2023
Publish Date:
4-Jul-2023
Category:
Humanities, Arts and Social Sciences (HASS) Research
Grant Term:
1-Jul-2023 to 30-Jun-2027
Value (AUD):
$1,056,049.00
(GST inclusive where applicable)
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 23/24 Linkage
Grant Program:
Mid-Career Industry Fellowships
Grant Activity:
Artificial intelligence empowered multi-modal biomedical imaging
Purpose:
This Industry Fellowship aims to transform biomedical imaging using artificial intelligence with world-leading industry partners. The project expects to make a major advance in multi-modal Magnetic Resonance Imaging and Positron Emission Tomography image reconstruction for robust, accurate and efficient imaging. This project timely addresses industry needs with novel solutions and will establish a technology roadmap to inform and de-risk future research and development in image reconstruction. The project outcomes should provide benefits to Australians with cost-effective imaging and benefits to Australia's biomedical industry with well-aligned intellectual properties and training of future scientists with industry knowledge.
GO ID:
GO Title:
Mid-Career Industry Fellowships for funding commencing in 2023
Internal Reference ID:
IM23 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
Monash University
Recipient ABN:
12 377 614 012
Grant Recipient Location
Suburb:
MULGRAVE
Town/City:
MULGRAVE
Postcode:
3170
State/Territory:
VIC
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
VIC
Postcode:
3170
Country:
AUSTRALIA