activity
20182023
most citedMultiple Sclerosis Lesion Segmentation from Brain MRI via Fully Convolutional Neural Networks

62 citations · 99 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2023

Rapid Brain Meninges Surface Reconstruction with Layer Topology Guarantee

Peiyu Duan, Yuan Xue, Shuo Han +8

The meninges, located between the skull and brain, are composed of three membrane layers: the pia, the arachnoid, and the dura. Reconstruction of these layers can aid in studying v…

eess.IV2022★ 1 cited

HACA3: A Unified Approach for Multi-site MR Image Harmonization

Lianrui Zuo, Yihao Liu, Yuan Xue +10

The lack of standardization is a prominent issue in magnetic resonance (MR) imaging. This often causes undesired contrast variations in the acquired images due to differences in ha…

eess.IV2021★ 6 cited

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…

cs.CV2018★ 62 cited

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…

cs.CV2018★ 30 cited

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…