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

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

eess.IV2019

MRI correlates of chronic symptoms in mild traumatic brain injury

Cailey I. Kerley, Kurt G. Schilling, Justin Blaber +5

Veterans with mild traumatic brain injury (mTBI) have reported auditory and visual dysfunction that persists beyond the acute incident. The etiology behind these symptoms is diffic…

eess.IV20191 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

Generalizing Deep Whole Brain Segmentation for Pediatric and Post-Contrast MRI with Augmented Transfer Learning

Camilo Bermudez, Justin Blaber, Samuel W. Remedios +6

Generalizability is an important problem in deep neural networks, especially in the context of the variability of data acquisition in clinical magnetic resonance imaging (MRI). Rec…

cs.CV2019

Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury

Samuel Remedios, Snehashis Roy, Justin Blaber +6

Machine learning models are becoming commonplace in the domain of medical imaging, and with these methods comes an ever-increasing need for more data. However, to preserve patient…

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…