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Longitudinal self-supervised learning
Machine learning analysis of longitudinal neuroimaging data is typically based on supervised learning, which requires large number of ground-truth labels to be informative. As ground-truth labels are often missing or expensive to obtain in neuroscience, we avoid them in our analysis by combing facto...
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| I publikationen: | Med Image Anal |
|---|---|
| Huvudupphovsmän: | , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2021
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8184636/ https://ncbi.nlm.nih.gov/pubmed/33882336 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.media.2021.102051 |
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