19 citations
3 papers
eess.IV2020★ 19 cited
Deep learning classification of chest x-ray images
Mohammad S. Majdi, Khalil N. Salman, Michael F. Morris +2
We propose a deep learning based method for classification of commonly occurring pathologies in chest X-ray images. The vast number of publicly available chest X-ray images provide…
eess.IV2020★ 2 cited
A Comparison of Deep Learning Convolution Neural Networks for Liver Segmentation in Radial Turbo Spin Echo Images
Lavanya Umapathy, Mahesh Bharath Keerthivasan, Jean-Phillipe Galons +4
Motion-robust 2D Radial Turbo Spin Echo (RADTSE) pulse sequence can provide a high-resolution composite image, T2-weighted images at multiple echo times (TEs), and a quantitative T…
eess.IV2019
A systematic comparison of structural, structural connectivity, and functional connectivity based thalamus parcellation techniques
Charles Iglehart, Martin Monti, Joshua Cain +2
The thalamus consists of several histologically and functionally distinct nuclei increasingly implicated in brain pathology and important for treatment, motivating the need for dev…