Publication:
dtiRIM: A generalisable deep learning method for diffusion tensor imaging
| dc.contributor.author | Sabidussi, E. R. | |
| dc.contributor.author | Klein, S. | |
| dc.contributor.author | Jeurissen, Ben | |
| dc.contributor.author | Poot, D. H. J. | |
| dc.contributor.imecauthor | Jeurissen, Ben | |
| dc.contributor.orcidimec | Jeurissen, Ben::0000-0002-3488-9819 | |
| dc.date.accessioned | 2023-07-18T13:54:27Z | |
| dc.date.available | 2023-03-06T03:31:19Z | |
| dc.date.available | 2023-07-18T13:54:27Z | |
| dc.date.embargo | 2023-04-01 | |
| dc.date.issued | 2023 | |
| dc.description.wosFundingText | We would like to thank Mr. Riwaj Byanju for providing the coil sensitivity maps, and Dr. Bo Li, Dr. Esther Bron, and the Rotterdam Study team for providing access to the in vivo testing data. This work is part of the project B-Q MINDED which has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement no. 764513. BJ is supported by FWO Vlaanderen, grant number G090020N and by the Belgian Science Policy Prodex (Grant ISLRA 2009-1062). BJ is a member of the..NEURO Research center of Excellence of the University of Antwerp. | |
| dc.identifier.doi | 10.1016/j.neuroimage.2023.119900 | |
| dc.identifier.issn | 1053-8119 | |
| dc.identifier.pmid | MEDLINE:36702213 | |
| dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/41239 | |
| dc.publisher | ACADEMIC PRESS INC ELSEVIER SCIENCE | |
| dc.source.beginpage | Art. 119900 | |
| dc.source.endpage | na | |
| dc.source.issue | April | |
| dc.source.journal | NEUROIMAGE | |
| dc.source.numberofpages | 11 | |
| dc.source.volume | 269 | |
| dc.subject.keywords | MRI | |
| dc.subject.keywords | NETWORK | |
| dc.title | dtiRIM: A generalisable deep learning method for diffusion tensor imaging | |
| dc.type | Journal article | |
| dspace.entity.type | Publication | |
| Files | Original bundle
| |
| Publication available in collections: |