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NON-EUCLIDEAN, CONVOLUTIONAL LEARNING ON CORTICAL BRAIN SURFACES
In recent years there have been many studies indicating that multiple cortical features, extracted at each surface vertex, are promising in the detection of various neurodevelopmental and neurodegenerative diseases. However, with limited datasets, it is challenging to train stable classifiers with s...
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| Publicado no: | Proc IEEE Int Symp Biomed Imaging |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6197818/ https://ncbi.nlm.nih.gov/pubmed/30364770 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ISBI.2018.8363631 |
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