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Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models
We describe CounterSynth, a conditional generative model of diffeomorphic deformations that induce label-driven, biologically plausible changes in volumetric brain images. The model is intended to synthesise counterfactual training data augmentations for downstream discriminative modelling tasks whe...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10591114/ https://www.ncbi.nlm.nih.gov/pubmed/36542907 http://dx.doi.org/10.1016/j.media.2022.102723 |