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MC-Former: motion artifacts reduction in brain MRI using vision transformers and self-supervised learning

dc.contributor.authorZhang, Lei
dc.contributor.authorWang, Xiaoke
dc.contributor.authorHerskovits, Edward H.
dc.contributor.authorMelhem, Elias R.
dc.contributor.authorChang, Linda, M.D.
dc.contributor.authorWang, Ze
dc.contributor.authorErnst, Thomas, Ph.D.
dc.date.accessioned2025-01-10T17:58:33Z
dc.date.available2025-01-10T17:58:33Z
dc.date.issued2024-09-19
dc.identifier.urihttp://hdl.handle.net/10713/22948
dc.descriptionThird Annual Alavi-Bradley Symposium on Molecular Imaging and Theranostics. September 19, 2024.en_US
dc.language.isoen_USen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectmotion correctionen_US
dc.subjectvision transformeren_US
dc.subjectself-supervised learningen_US
dc.subject.meshMagnetic Resonance Imagingen_US
dc.subject.meshNeuroimagingen_US
dc.subject.meshBrainen_US
dc.subject.meshDeep Learningen_US
dc.titleMC-Former: motion artifacts reduction in brain MRI using vision transformers and self-supervised learningen_US
dc.typePoster/Presentationen_US
refterms.dateFOA2025-01-10T17:58:35Z


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Attribution-NonCommercial-NoDerivatives 4.0 International
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International