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Brain Deformation Estimation With Transfer Learning for Head Impact Datasets Across Impact Types
Objective: The machine-learning head model (MLHM) to accelerate the calculation of brain strain and strain rate, which are the …
Xianghao Zhan
,
Yuzhe Liu
,
Nicholas J. Cecchi
,
Olivier Gevaert
,
Michael M. Zeineh
,
Gerald A. Grant
,
David B. Camarillo
DOI
Adaptive Machine Learning Head Model Across Different Head Impact Types Using Unsupervised Domain Adaptation and Generative Adversarial Networks
Machine-learning head models (MLHMs) have shown promise in estimating traumatic brain injury (TBI)-related brain deformation from head …
Xianghao Zhan
,
Jiawei Sun
,
Yuzhe Liu(刘雨喆)
,
Nicholas J. Cecchi
,
Enora Le Flao
,
Olivier Gevaert
,
Michael M. Zeineh
,
David B. Camarillo
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