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Longitudinal Pooling & Consistency Regularization to Model Disease Progression from MRIs
Many neurological diseases are characterized by gradual deterioration of brain structure and function. Large longitudinal MRI datasets have revealed such deterioration, in part, by applying machine and deep learning to predict diagnosis. A popular approach is to apply Convolutional Neural Networks (...
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| Publicado no: | IEEE J Biomed Health Inform |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8221531/ https://ncbi.nlm.nih.gov/pubmed/33270567 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/JBHI.2020.3042447 |
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