EPSCoR Research Fellows: NSF: Interpretable AI-Driven Multi-Modal MRI for Brain Imaging An — NSF Award to Tulane University (LA, $
This Research Infrastructure Improvement (RII) EPSCoR Research Fellows project provides a fellowship to an Assistant professor and training for a graduate student at the Tulane University. This work is conducted in collaboration with experts at the Georgia State University/Georgia Institute of Technology/Emory Universi
| Award title | EPSCoR Research Fellows: NSF: Interpretable AI-Driven Multi-Modal MRI for Brain Imaging An |
|---|---|
| Award ID | 2531809 |
| Awardee | Tulane University |
| City | NEW ORLEANS |
| State | LA |
| Amount obligated | $222,497 |
| Principal investigator | Zhengming Ding |
| Program | EPSCoR RII: EPSCoR Research Fe |
| Start date | 05/01/2026 |
| Abstract | This Research Infrastructure Improvement (RII) EPSCoR Research Fellows project provides a fellowship to an Assistant professor and training for a graduate student at the Tulane University. This work is conducted in collaboration with experts at the Georgia State University/Georgia Institute of Technology/Emory University Center for Translational Research in Neuroimaging and Data Science (TReNDS). Through the fellowship, the PI will investigate how artificial intelligence can analyze complex brai |
| Source | NSF Awards |
$799/mo
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