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Stability-Weighted Matrix Completion of Incomplete Multi-modal Data for Disease Diagnosis
Effective utilization of heterogeneous multi-modal data for Alzheimer’s Disease (AD) diagnosis and prognosis has always been hampered by incomplete data. One method to deal with this is low-rank matrix completion (LRMC), which simultaneous imputes missing data features and target values of interest....
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| Publicado no: | Med Image Comput Comput Assist Interv |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5343765/ https://ncbi.nlm.nih.gov/pubmed/28286884 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-319-46723-8_11 |
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