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SynthMorph: Learning Contrast-Invariant Registration Without Acquired Images
We introduce a strategy for learning image registration without acquired imaging data, producing powerful networks agnostic to contrast introduced by magnetic resonance imaging (MRI). While classical registration methods accurately estimate the spatial correspondence between images, they solve an op...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8891043/ https://www.ncbi.nlm.nih.gov/pubmed/34587005 http://dx.doi.org/10.1109/TMI.2021.3116879 |