BigBrain-MR: a new digital phantom with anatomically-realistic magnetic resonance properties at 100-µm resolution for magnetic resonance methods development
dc.contributor.author | Sainz Martinez, Cristina | |
dc.contributor.author | Bach Cuadra, Meritxell | |
dc.contributor.author | Jorge, João | |
dc.date.accessioned | 2023-10-30T12:54:30Z | |
dc.date.available | 2023-10-30T12:54:30Z | |
dc.date.issued | 2023-03-31 | |
dc.identifier.citation | NeuroImage, vol. 273, pp. 120074 | |
dc.identifier.doi | 10.1016/j.neuroimage.2023.120074 | |
dc.identifier.issn | 10538119 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12839/1276 | |
dc.identifier.url | https://linkinghub.elsevier.com/retrieve/pii/S1053811923002203 | |
dc.title | BigBrain-MR: a new digital phantom with anatomically-realistic magnetic resonance properties at 100-µm resolution for magnetic resonance methods development | |
dc.type | Journal Article | |
dc.type.csemdivisions | BU-D | |
dc.type.csemresearchareas | IoT & Vision | |
dc.type.csemresearchareas | Data & AI | |
dc.type.csemresearchareas | Digital Health |