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Multimodal MR Synthesis via Modality-Invariant Latent Representation
We propose a multi-input multi-output fully convolutional neural network model for MRI synthesis. The model is robust to missing data, as it benefits from, but does not require, additional input modalities. The model is trained end-to-end, and learns to embed all input modalities into a shared modal...
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| Publicado no: | IEEE Trans Med Imaging |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5904017/ https://ncbi.nlm.nih.gov/pubmed/29053447 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2017.2764326 |
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