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Found 6 papers, 1 papers with code
Identification of relevant diffusion MRI metrics impacting cognitive functions using a novel feature selection method
Mild Traumatic Brain Injury (mTBI) is a significant public health problem.
Training a Neural Network for Gibbs and Noise Removal in Diffusion MRI
Both machine learning methods were able to mitigate artifacts in diffusion-weighted images and diffusion parameter maps.
Image and Video Processing
MTBI Identification From Diffusion MR Images Using Bag of Adversarial Visual Features
Unlike most of previous works, which use hand-crafted features extracted from different parts of brain for MTBI classification, we employ feature learning algorithms to learn more discriminative representation for this task.
A Deep Unsupervised Learning Approach Toward MTBI Identification Using Diffusion MRI
Mild traumatic brain injury is a growing public health problem with an estimated incidence of over 1. 7 million people annually in US.
Identifying Mild Traumatic Brain Injury Patients From MR Images Using Bag of Visual Words
Mild traumatic brain injury (mTBI) is a growing public health problem with an estimated incidence of one million people annually in US.
A Machine Learning Approach For Identifying Patients with Mild Traumatic Brain Injury Using Diffusion MRI Modeling
While diffusion MRI has been extremely promising in the study of MTBI, identifying patients with recent MTBI remains a challenge.
