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A Series Registration Framework to Recover Resting-State Functional Magnetic Resonance Data Degraded By Motion
Data retention is a significant problem in the medical imaging domain. For example, resting-state functional magnetic resonance images (rs-fMRIs) are invaluable for studying neurodevelopment but are highly susceptible to corruption due to patient motion. The effects of patient motion can be reduced...
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| Pubblicato in: | AMIA Jt Summits Transl Sci Proc |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
American Medical Informatics Association
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7233096/ https://ncbi.nlm.nih.gov/pubmed/32477679 |
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