Yuzhe Lab
Yuzhe Lab
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Nicholas J. Cecchi
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Local and Global Effects of Inertial Force Components Producing Brain Strain During Head Impacts
AI-based identification of head impact locations, speeds, and force based on head kinematics simulations
Differences between two maximal principal strain rate calculation schemes in traumatic brain analysis with in-vivo and in-silico datasets
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
Finite element evaluation of an American football helmet featuring liquid shock absorbers for protecting against concussive and subconcussive head impacts
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
Identifying Factors Associated with Head Impact Kinematics and Brain Strain in High School American Football via Instrumented Mouthguards
Time Window of Head Impact Kinematics Measurement for Calculation of Brain Strain and Strain Rate in American Football
Predictive Factors of Kinematics in Traumatic Brain Injury from Head Impacts Based on Statistical Interpretation
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