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Longitudinal Prediction of Infant Diffusion MRI Data via Graph Convolutional Adversarial Networks
Missing data is a common problem in longitudinal studies due to subject dropouts and failed scans. We present a graph-based convolutional neural network to predict missing diffusion MRI data. In particular, we consider the relationships between sampling points in the spatial domain and the diffusion...
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| Publicado en: | IEEE Trans Med Imaging |
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| Autores principales: | , , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2019
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6935161/ https://ncbi.nlm.nih.gov/pubmed/30990424 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2019.2911203 |
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