dc.contributor.author | Sainz Martinez, Cristina | |
dc.contributor.author | Bach Cuadra, Meritxell | |
dc.contributor.author | Jorge, João | |
dc.date.accessioned | 2023-01-20T08:58:55Z | |
dc.date.available | 2023-01-20T08:58:55Z | |
dc.date.issued | 2022-09-09 | |
dc.identifier.citation | 13th Annual Scientific Symposium. Ultrahigh Field Magnetic Resonance: Clinical Needs, Research Promises and Technical Solutions, Berlin (Germany), pp. 66-70 | |
dc.identifier.uri | https://yoda.csem.ch/handle/20.500.12839/1123 | |
dc.title | Framework and Validation of BigBrain-MR: A Novel Digital Phantom at 100μm Resolution for Ultrahigh Field MRI Methods Development | |
dc.type | Proceedings Article | |
dc.type.csemdivisions | Div-E | |
dc.type.csemresearchareas | Data & AI | |
dc.type.csemresearchareas | IoT & Vision | |
dc.type.csemresearchareas | Digital Health | |