Toward more accurate and generalizable brain deformation estimators for traumatic brain injury detection with unsupervised domain adaptation

Machine learning head models (MLHMs) are developed to estimate brain deformation for early detection of traumatic brain injury (TBI). However, the overfitting to simulated impacts and the lack of generalizability caused by distributional shift of different head impact datasets hinders the broad clin...

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Detalles Bibliográficos
Autores principales: Zhan, Xianghao, Sun, Jiawei, Liu, Yuzhe, Cecchi, Nicholas J., Le Flao, Enora, Gevaert, Olivier, Zeineh, Michael M., Camarillo, David B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cornell University 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10274939/
https://www.ncbi.nlm.nih.gov/pubmed/37332565

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10274939/
https://www.ncbi.nlm.nih.gov/pubmed/37332565

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