Publication:
Deep Learning-Enhanced Accelerated 2D TSE and 3D Superresolution Dixon TSE for Rapid Comprehensive Knee Joint Assessment
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| cris.virtual.orcid | 0000-0002-5339-052X | |
| cris.virtual.orcid | 0000-0002-6392-2913 | |
| cris.virtual.orcid | 0000-0003-4225-2487 | |
| cris.virtual.orcid | 0000-0002-3488-9819 | |
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| cris.virtualsource.orcid | 87938102-08cf-40ae-aa44-a30b0dff9070 | |
| dc.contributor.author | Smekens, Celine | |
| dc.contributor.author | Beirinckx, Quinten | |
| dc.contributor.author | Bosmans, Frederik | |
| dc.contributor.author | Vanhevel, Floris | |
| dc.contributor.author | Snoeckx, Annemiek | |
| dc.contributor.author | Sijbers, Jan | |
| dc.contributor.author | Jeurissen, Ben | |
| dc.contributor.author | Janssens, Thomas | |
| dc.contributor.author | Van Dyck, Pieter | |
| dc.contributor.imecauthor | Smekens, Celine | |
| dc.contributor.imecauthor | Beirinckx, Quinten | |
| dc.contributor.imecauthor | Sijbers, Jan | |
| dc.contributor.imecauthor | Jeurissen, Ben | |
| dc.contributor.orcidimec | Smekens, Celine::0000-0002-6392-2913 | |
| dc.contributor.orcidimec | Beirinckx, Quinten::0000-0002-5339-052X | |
| dc.contributor.orcidimec | Sijbers, Jan::0000-0003-4225-2487 | |
| dc.contributor.orcidimec | Jeurissen, Ben::0000-0002-3488-9819 | |
| dc.date.accessioned | 2025-02-15T21:14:43Z | |
| dc.date.available | 2025-02-15T21:14:43Z | |
| dc.date.issued | 2025-MAR | |
| dc.description.wosFundingText | This work was supported by the B-QMINDED project, funded by European Union's Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement no. 764513.C.S. and Q.B. also received funding from the University of Antwerp (BOF/SEP#44883 and IOF/SBO #34427, respectively). P.V.D. and B.J. are supported by the Research Foundation (FWO) Flanders, Belgium (grant number G058723N).T.J. and C.S. are employees of Siemens Healthcare NV/SA. The funders and employers had no role in the design, implementation, or analysis of this research. Forthe remaining authors, none were declared. | |
| dc.identifier.doi | 10.1097/RLI.0000000000001118 | |
| dc.identifier.issn | 0020-9996 | |
| dc.identifier.pmid | MEDLINE:39190787 | |
| dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/45222 | |
| dc.publisher | LIPPINCOTT WILLIAMS & WILKINS | |
| dc.source.beginpage | 220 | |
| dc.source.endpage | 233 | |
| dc.source.issue | 3 | |
| dc.source.journal | INVESTIGATIVE RADIOLOGY | |
| dc.source.numberofpages | 14 | |
| dc.source.volume | 60 | |
| dc.subject.keywords | SIMULTANEOUS MULTISLICE | |
| dc.subject.keywords | IMAGE QUALITY | |
| dc.subject.keywords | MRI | |
| dc.subject.keywords | RECONSTRUCTION | |
| dc.subject.keywords | RESOLUTION | |
| dc.subject.keywords | IMPROVEMENT | |
| dc.subject.keywords | ACCURACY | |
| dc.title | Deep Learning-Enhanced Accelerated 2D TSE and 3D Superresolution Dixon TSE for Rapid Comprehensive Knee Joint Assessment | |
| dc.type | Journal article | |
| dspace.entity.type | Publication | |
| Files | Original bundle
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