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Machine Learning Head Model
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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Source Document
DOI
Finding the Spatial Co-Variation of Brain Deformation With Principal Component Analysis
This study applies principal component analysis (PCA) to investigate spatial co-variation patterns of traumatic brain injury metrics, …
Xianghao Zhan
,
Yuzhe Liu(刘雨喆)
,
Nicholas J. Cecchi
,
Olivier Gevaert
,
Michael M. Zeineh
,
Gerald A. Grant
,
David B. Camarillo
Source Document
DOI
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