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Adversarial confound regression and uncertainty measurements to classify heterogeneous clinical MRI in Mass General Brigham
In this work, we introduce a novel deep learning architecture, MUCRAN (Multi-Confound Regression Adversarial Network), to train a deep learning model on clinical brain MRI while regressing demographic and technical confounding factors. We trained MUCRAN using 17,076 clinical T1 Axial brain MRIs coll...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9980829/ https://www.ncbi.nlm.nih.gov/pubmed/36862751 http://dx.doi.org/10.1371/journal.pone.0277572 |