390 citations · 1.2k across the 44 of their papers we have counts for
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Identifying Mild Traumatic Brain Injury Patients From MR Images Using Bag of Visual Words
Shervin Minaee, Siyun Wang, Yao Wang +6
Mild traumatic brain injury (mTBI) is a growing public health problem with an estimated incidence of one million people annually in US. Neurocognitive tests are used to both assess…
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…
Automatic Question-Answering Using A Deep Similarity Neural Network
Shervin Minaee, Zhu Liu
Automatic question-answering is a classical problem in natural language processing, which aims at designing systems that can automatically answer a question, in the same way as hum…
Text Extraction From Texture Images Using Masked Signal Decomposition
Shervin Minaee, Yao Wang
Text extraction is an important problem in image processing with applications from optical character recognition to autonomous driving. Most of the traditional text segmentation al…
An ADMM Approach to Masked Signal Decomposition Using Subspace Representation
Shervin Minaee, Yao Wang
Signal decomposition is a classical problem in signal processing, which aims to separate an observed signal into two or more components each with its own property. Usually each com…
Subspace Learning in The Presence of Sparse Structured Outliers and Noise
Shervin Minaee, Yao Wang
Subspace learning is an important problem, which has many applications in image and video processing. It can be used to find a low-dimensional representation of signals and images.…