Predictive Factors of Kinematics in Traumatic Brain Injury from Head Impacts Based on Statistical Interpretation. - Xianghao Zhan; Yiheng Li; Yuzhe Liu; August G. Domel; Hossein Vahid Alizadeh; Zhou Zhou; Nicholas J. Cecchi; Stephen Tiernan; Jesse Ruan; Saeed Barbat; Olivier Gevaert; Michael Zeineh; et al. (CoRR, 2021)

Classification of head impacts based on the spectral density of measurable kinematics. - Xianghao Zhan; Yiheng Li; Yuzhe Liu; Nicholas J. Cecchi; Samuel J. Raymond; Zhou Zhou; Hossein Vahid Alizadeh; Jesse Ruan; Saeed Barbat; Stephen Tiernan; Olivier Gevaert; Michael M. Zeineh; et al. (CoRR, 2021)

Kinematics clustering enables head impact subtyping for better traumatic brain injury prediction. - Xianghao Zhan; Yiheng Li; Yuzhe Liu; Nicholas J. Cecchi; Olivier Gevaert; Michael M. Zeineh; Gerald A. Grant; David B. Camarillo (CoRR, 2021)

Physics-informed machine learning improves detection of head impacts. - Samuel J. Raymond; Nicholas J. Cecchi; Hossein Vahid Alizadeh; Ashlyn A. Callan; Eli Rice; Yuzhe Liu; Zhou Zhou; Michael Zeineh; David B. Camarillo (CoRR, 2021)

Rapidly and accurately estimating brain strain and strain rate across head impact types with transfer learning and data fusion. - Xianghao Zhan; Yuzhe Liu; Nicholas J. Cecchi; Olivier Gevaert; Michael M. Zeineh; Gerald A. Grant; David B. Camarillo (CoRR, 2021)

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; Michael M. Zeineh; Gerald A. Grant; David B. Camarillo (CoRR, 2021)

Denoising instrumented mouthguard measurements of head impact kinematics with a convolutional neural network. - Xianghao Zhan; Yuzhe Liu; Nicholas J. Cecchi; Ashlyn A. Callan; Enora Le Flao; Olivier Gevaert; Michael M. Zeineh; Gerald A. Grant; David B. Camarillo (CoRR, 2022)

Finding the Spatial Co-Variation of Brain Deformation With Principal Component Analysis. - Xianghao Zhan; Yuzhe Liu; Nicholas J. Cecchi; Olivier Gevaert; Michael M. Zeineh; Gerald A. Grant; David B. Camarillo (IEEE Trans. Biomed. Eng., 2022)

Toward more accurate and generalizable brain deformation estimators for traumatic brain injury detection with unsupervised domain adaptation. - Xianghao Zhan; Jiawei Sun; Yuzhe Liu; Nicholas J. Cecchi; Enora Le Flao; Olivier Gevaert; Michael M. Zeineh; David B. Camarillo (CoRR, 2023)

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; Michael M. Zeineh; David B. Camarillo (CoRR, 2024)

Brain Deformation Estimation With Transfer Learning for Head Impact Datasets Across Impact Types. - Xianghao Zhan; Yuzhe Liu; Nicholas J. Cecchi; Olivier Gevaert; Michael M. Zeineh; Gerald A. Grant; David B. Camarillo (IEEE Trans. Biomed. Eng., 2024)

AI-Based Denoising of Head Impact Kinematics Measurements With Convolutional Neural Network for Traumatic Brain Injury Prediction. - Xianghao Zhan; Yuzhe Liu; Nicholas J. Cecchi; Ashlyn A. Callan; Enora Le Flao; Olivier Gevaert; Michael M. Zeineh; Gerald A. Grant; David B. Camarillo (IEEE Trans. Biomed. Eng., 2024)