23 citations · 23 across the 2 of their papers we have counts for
3 papers
q-bio.QM2019★ 23 cited
DARTS: DenseUnet-based Automatic Rapid Tool for brain Segmentation
Aakash Kaku, Chaitra V. Hegde, Jeffrey Huang +6
Quantitative, volumetric analysis of Magnetic Resonance Imaging (MRI) is a fundamental way researchers study the brain in a host of neurological conditions including normal maturat…
eess.IV2019
Identification of relevant diffusion MRI metrics impacting cognitive functions using a novel feature selection method
Tongda Xu, Xiyan Cai, Yao Wang +6
Mild Traumatic Brain Injury (mTBI) is a significant public health problem. The most troubling symptoms after mTBI are cognitive complaints. Studies show measurable differences betw…
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…