Yuzhe Lab
Yuzhe Lab
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Olivier Gevaert
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AI-based identification of head impact locations, speeds, and force based on head kinematics simulations
AI-Based Denoising of Head Impact Kinematics Measurements With Convolutional Neural Network for Traumatic Brain Injury Prediction
Brain Deformation Estimation With Transfer Learning for Head Impact Datasets Across Impact Types
Adaptive Machine Learning Head Model Across Different Head Impact Types Using Unsupervised Domain Adaptation and Generative Adversarial Networks
Machine-learning-based head impact subtyping based on the spectral densities of the measurable head kinematics
Piecewise Multivariate Linearity Between Kinematic Features and Cumulative Strain Damage Measure (CSDM) Across Different Types of Head Impacts
Finding the Spatial Co-Variation of Brain Deformation With Principal Component Analysis
Predictive Factors of Kinematics in Traumatic Brain Injury from Head Impacts Based on Statistical Interpretation
The Relationship Between Brain Injury Criteria and Brain Strain Across Different Types of Head Impacts
Rapid Estimation of Entire Brain Strain Using Deep Learning Models
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