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Rapidly and accurately estimating brain strain and strain rate across
  head impact types with transfer learning and data fusion

Rapidly and accurately estimating brain strain and strain rate across head impact types with transfer learning and data fusion

IEEE Transactions on Biomedical Engineering (IEEE Trans. Biomed. Eng.), 2021
31 August 2021
Xianghao Zhan
Yuzhe Liu
Nicholas J. Cecchi
Olivier Gevaert
M. Zeineh
Gerald Grant
David B. Camarillo
ArXiv (abs)PDFHTMLGithub

Papers citing "Rapidly and accurately estimating brain strain and strain rate across head impact types with transfer learning and data fusion"

3 / 3 papers shown
Identification of head impact locations, speeds, and force based on head
  kinematics
Identification of head impact locations, speeds, and force based on head kinematics
Xianghao Zhan
Yuzhe Liu
Nicholas J. Cecchi
Jessica Towns
Ashlyn A. Callan
Olivier Gevaert
M. Zeineh
David B. Camarillo
129
2
0
12 Sep 2024
Denoising instrumented mouthguard measurements of head impact kinematics
  with a convolutional neural network
Denoising instrumented mouthguard measurements of head impact kinematics with a convolutional neural networkIEEE Transactions on Biomedical Engineering (IEEE TBME), 2022
Xianghao Zhan
Yuzhe Liu
Nicholas J. Cecchi
Ashlyn A. Callan
Enora Le Flao
Olivier Gevaert
M. Zeineh
Gerald Grant
David B. Camarillo
204
10
0
19 Dec 2022
Data-driven decomposition of brain dynamics with principal component
  analysis in different types of head impacts
Data-driven decomposition of brain dynamics with principal component analysis in different types of head impacts
Xianghao Zhan
Yuzhe Liu
Nicholas J. Cecchi
Olivier Gevaert
M. Zeineh
Gerald Grant
David B. Camarillo
186
11
0
27 Oct 2021
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