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Global Diffeomorphic Phase Alignment of Time-Series from Resting-State fMRI Data
We present a novel method for global diffeomorphic phase alignment of time-series data from resting-state functional magnetic resonance imaging (rsfMRI) signals. Additionally, we propose a multidimensional, continuous, invariant functional representation of brain time-series data and solve a general...
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| Publicado no: | Med Image Comput Comput Assist Interv |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7744133/ https://ncbi.nlm.nih.gov/pubmed/33336211 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-59728-3_51 |
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