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Cortical surface registration using unsupervised learning
Non-rigid cortical registration is an important and challenging task due to the geometric complexity of the human cortex and the high degree of inter-subject variability. A conventional solution is to use a spherical representation of surface properties and perform registration by aligning cortical...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7784120/ https://www.ncbi.nlm.nih.gov/pubmed/32702486 http://dx.doi.org/10.1016/j.neuroimage.2020.117161 |