activity
20182020
most citedDeep Learning Captures More Accurate Diffusion Fiber Orientations Distributions than Constrained Spherical Deconvolution

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.HC2020

PRAGMA: Interactively Constructing Functional Brain Parcellations

Roza G. Bayrak, Nhung Hoang, Colin B. Hansen +2

A prominent goal of neuroimaging studies is mapping the human brain, in order to identify and delineate functionally-meaningful regions and elucidate their roles in cognitive behav…

cs.LG2020

Semi-supervised Contrastive Learning Using Partial Label Information

Colin B. Hansen, Vishwesh Nath, Diego A. Mesa +3

In semi-supervised learning, information from unlabeled examples is used to improve the model learned from labeled examples. In some learning problems, partial label information ca…

eess.IV2019★ 1 cited

Deep Learning Captures More Accurate Diffusion Fiber Orientations Distributions than Constrained Spherical Deconvolution

Vishwesh Nath, Kurt G. Schilling, Colin B. Hansen +10

Confocal histology provides an opportunity to establish intra-voxel fiber orientation distributions that can be used to quantitatively assess the biological relevance of diffusion…

eess.IV2019

Enabling Multi-Shell b-Value Generalizability of Data-Driven Diffusion Models with Deep SHORE

Vishwesh Nath, Ilwoo Lyu, Kurt G. Schilling +9

Intra-voxel models of the diffusion signal are essential for interpreting organization of the tissue environment at micrometer level with data at millimeter resolution. Recent adva…

cs.CV2018

Inter-Scanner Harmonization of High Angular Resolution DW-MRI using Null Space Deep Learning

Vishwesh Nath, Prasanna Parvathaneni, Colin B. Hansen +15

Diffusion-weighted magnetic resonance imaging (DW-MRI) allows for non-invasive imaging of the local fiber architecture of the human brain at a millimetric scale. Multiple classical…