research
∙
09/08/2023
Linking Symptom Inventories using Semantic Textual Similarity
An extensive library of symptom inventories has been developed over time...
share
research
∙
06/08/2023
Toward more accurate and generalizable brain deformation estimators for traumatic brain injury detection with unsupervised domain adaptation
Machine learning head models (MLHMs) are developed to estimate brain def...
research
∙
12/19/2022
Denoising instrumented mouthguard measurements of head impact kinematics with a convolutional neural network
Wearable sensors for measuring head kinematics can be noisy due to imper...
research
∙
10/27/2021
Data-driven decomposition of brain dynamics with principal component analysis in different types of head impacts
Strain and strain rate are effective traumatic brain injury predictors. ...
research
∙
08/31/2021
Rapidly and accurately estimating brain strain and strain rate across head impact types with transfer learning and data fusion
Brain strain and strain rate are effective in predicting traumatic brain...
research
∙
08/07/2021
Kinematics clustering enables head impact subtyping for better traumatic brain injury prediction
Traumatic brain injury can be caused by various types of head impacts. H...
research
∙
04/19/2021
