23 citations · 23 across the 2 of their papers we have counts for
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cs.CV2018
MTBI Identification From Diffusion MR Images Using Bag of Adversarial Visual Features
Shervin Minaee, Yao Wang, Alp Aygar +6
In this work, we propose bag of adversarial features (BAF) for identifying mild traumatic brain injury (MTBI) patients from their diffusion magnetic resonance images (MRI) (obtaine…
cs.CV2018
A Deep Unsupervised Learning Approach Toward MTBI Identification Using Diffusion MRI
Shervin Minaee, Yao Wang, Anna Choromanska +6
Mild traumatic brain injury is a growing public health problem with an estimated incidence of over 1.7 million people annually in US. Diagnosis is based on clinical history and sym…
cs.CV2017
A Machine Learning Approach For Identifying Patients with Mild Traumatic Brain Injury Using Diffusion MRI Modeling
Shervin Minaee, Yao Wang, Sohae Chung +5
While diffusion MRI has been extremely promising in the study of MTBI, identifying patients with recent MTBI remains a challenge. The literature is mixed with regard to localizing…