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Deep Learning
AI-based identification of head impact locations, speeds, and force based on head kinematics simulations
Objective: With the development of wearable sensors, head kinematics data have become widely available. However, key impact …
Xianghao Zhan
,
Yuzhe Liu(刘雨喆)
,
Nicholas J. Cecchi
,
Jessica Towns
,
Ashlyn A. Callan
,
Olivier Gevaert
,
Michael M. Zeineh
,
David B. Camarillo
DOI
AI-Based Denoising of Head Impact Kinematics Measurements With Convolutional Neural Network for Traumatic Brain Injury Prediction
Wearable devices used for measuring head impact kinematics are inherently noisy due to imperfect coupling with the human body. This …
Xianghao Zhan
,
Yuzhe Liu(刘雨喆)
,
Nicholas J. Cecchi
,
Ashlyn A. Callan
,
Enora Le Flao
,
Olivier Gevaert
,
Michael M. Zeineh
,
Gerald A. Grant
,
David B. Camarillo
PDF
Source Document
DOI
Rapid Estimation of Entire Brain Strain Using Deep Learning Models
This study proposes a deep learning head model for rapid estimation of whole-brain strain during head impacts. A five-layer deep neural …
Xianghao Zhan
,
Yuzhe Liu(刘雨喆)
,
Samuel J. Raymond
,
Hossein Vahid Alizadeh
,
August G. Domel
,
Olivier Gevaert
,
Michael M. Zeineh
,
Gerald A. Grant
,
David B. Camarillo
PDF
Source Document
DOI
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