1 citations · 1 across the 4 of their papers we have counts for
4 papers
Deep learning reveals the common spectrum underlying multiple brain disorders in youth and elders from brain functional networks
Mianxin Liu, Jingyang Zhang, Yao Wang +7
Brain disorders in the early and late life of humans potentially share pathological alterations in brain functions. However, the key evidence from neuroimaging data for pathologica…
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…
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…
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…