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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...
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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...
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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. ...
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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...
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08/19/2021
Physics-informed machine learning improves detection of head impacts
In this work we present a new physics-informed machine learning model th...
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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...
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04/30/2021
Applying physics-based loss functions to neural networks for improved generalizability in mechanics problems
Physics-Informed Machine Learning (PIML) has gained momentum in the last...
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04/19/2021
Classification of head impacts based on the spectral density of measurable kinematics
Traumatic brain injury can be caused by head impacts, but many brain inj...
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10/16/2020
Deep Learning Head Model for Real-time Estimation of Entire Brain Deformation in Concussion
Objective: Many recent studies have suggested that brain deformation res...
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10/16/2020
A New Open-Access Platform for Measuring and Sharing mTBI Data
Despite numerous research efforts, the precise mechanisms of concussion ...
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07/16/2019
Autonomous Driving in the Lung using Deep Learning for Localization
Lung cancer is the leading cause of cancer-related death worldwide, and ...
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03/25/2019
