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Exact Topological Inference for Paired Brain Networks via Persistent Homology
We present a novel framework for characterizing paired brain networks using techniques in hyper-networks, sparse learning and persistent homology. The framework is general enough for dealing with any type of paired images such as twins, multimodal and longitudinal images. The exact nonparametric sta...
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| Publicat a: | Inf Process Med Imaging |
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| Autors principals: | , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2017
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5654491/ https://ncbi.nlm.nih.gov/pubmed/29075089 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-319-59050-9_24 |
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