269 citations · 273 across the 6 of their papers we have counts for
6 papers
Improved Topological Preservation in 3D Axon Segmentation and Centerline Detection using Geometric Assessment-driven Topological Smoothing (GATS)
Nina I. Shamsi, Alex S. Xu, Lars A. Gjesteby +1
Automated axon tracing via fully supervised learning requires large amounts of 3D brain imagery, which is time consuming and laborious to obtain. It also requires expertise. Thus,…
Active Learning Pipeline for Brain Mapping in a High Performance Computing Environment
Adam Michaleas, Lars A. Gjesteby, Michael Snyder +10
This paper describes a scalable active learning pipeline prototype for large-scale brain mapping that leverages high performance computing power. It enables high-throughput evaluat…
Structure-sensitive Multi-scale Deep Neural Network for Low-Dose CT Denoising
Chenyu You, Qingsong Yang, Hongming Shan +8
Computed tomography (CT) is a popular medical imaging modality in clinical applications. At the same time, the x-ray radiation dose associated with CT scans raises public concerns…
Bibliometric Index for Academic Leadership
Yang Liu, Fengrong Ou, Yan Deng +9
Academic leadership is essential for research innovation and impact. Until now, there has been no dedicated measure of leadership by bibliometrics. Popular bibliometric indices are…
A Pilot Study on Coupling CT and MRI through Use of Semiconductor Nanoparticles
Matthew Getzin, Lars Gjesteby, Yen-Jun Chuang +6
CT and MRI are the two most widely used imaging modalities in healthcare, each with its own merits and drawbacks. Combining these techniques in one machine could provide unpreceden…
X-optogenetics and U-optogenetics: Feasibility and Possibilities
Rachel Berry, Matthew Getzin, Lars Gjesteby +1
To address these limitations of optogenetics, here we propose two new methods for optogenetic stimulation. The first is x-optogenetics, which uses visible light-emitting nanophosph…