6 citations · 6 across the 1 of their papers we have counts for
3 papers
Information-based Disentangled Representation Learning for Unsupervised MR Harmonization
Lianrui Zuo, Blake E. Dewey, Aaron Carass +4
Accuracy and consistency are two key factors in computer-assisted magnetic resonance (MR) image analysis. However, contrast variation from site to site caused by lack of standardiz…
Multiple Sclerosis Lesion Segmentation from Brain MRI via Fully Convolutional Neural Networks
Snehashis Roy, John A. Butman, Daniel S. Reich +2
Multiple Sclerosis (MS) is an autoimmune disease that leads to lesions in the central nervous system. Magnetic resonance (MR) images provide sufficient imaging contrast to visualiz…
Topology guaranteed segmentation of the human retina from OCT using convolutional neural networks
Yufan He, Aaron Carass, Bruno M. Jedynak +4
Optical coherence tomography (OCT) is a noninvasive imaging modality which can be used to obtain depth images of the retina. The changing layer thicknesses can thus be quantified b…