21 citations · 21 across the 3 of their papers we have counts for
3 papers
TABSurfer: a Hybrid Deep Learning Architecture for Subcortical Segmentation
Aaron Cao, Vishwanatha M. Rao, Kejia Liu +3
Subcortical segmentation remains challenging despite its important applications in quantitative structural analysis of brain MRI scans. The most accurate method, manual segmentatio…
Detecting Schizophrenia with 3D Structural Brain MRI Using Deep Learning
Junhao Zhang, Vishwanatha M. Rao, Ye Tian +8
Schizophrenia is a chronic neuropsychiatric disorder that causes distinct structural alterations within the brain. We hypothesize that deep learning applied to a structural neuroim…
Improving Across-Dataset Brain Tissue Segmentation Using Transformer
Vishwanatha M. Rao, Zihan Wan, Soroush Arabshahi +6
Brain tissue segmentation has demonstrated great utility in quantifying MRI data through Voxel-Based Morphometry and highlighting subtle structural changes associated with various…