Loading grant details…
Active
PROJECTS
Swiss National Science Foundation
Novel Data-Driven Models for robust and generalisable ultra-low-dose PET image reconstruction and high-quality CT-free PET image synthesis
$58.05M
CHF
| Funder | Swiss National Science Foundation |
|---|---|
| Recipient Organization | Lucerne University of Applied Sciences and Arts – Hslu |
| Country | Switzerland |
| Start Date | Oct 01, 2024 |
| End Date | Sep 30, 2028 |
| Duration | 1,460 days |
| Number of Grantees | 1 |
| Roles | Principal Investigator |
| Data Source | Swiss National Science Foundation |
| Grant ID | 20HW-1_220785 |
Grant Description
PET/CT Image Denoising
All Grantees
Lucerne University of Applied Sciences and Arts – Hslu
Advertisement
Advertisement
Interested in applying for this grant?
Complete our application form to express your interest and we'll guide you through the process.
Apply for This GrantQuick Summary
Start Year
2024
End Year
2028
Grantees
1
Related Grants
Swiss Direct Democracy in the 21st Century (SDD-21)
Swiss National Science Foundation
$230.45M CHF
Measurement of Higgs Boson Properties with CMS and Search fo...
Swiss National Science Foundation
$182.54M CHF
Annemarie Schwarzenbach: A Digitale Edition of the Small For...
Swiss National Science Foundation
$174.74M CHF
Advertisement
