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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...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | IEEE Trans Med Imaging |
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| Κύριοι συγγραφείς: | , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
2017
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| Θέματα: | |
| Διαθέσιμο Online: | 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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