9 citations · 10 across the 4 of their papers we have counts for
4 papers
Image Segmentation using U-Net Architecture for Powder X-ray Diffraction Images
Howard Yanxon, Eric Roberts, Hannah Parraga +6
Scientific researchers frequently use the in situ synchrotron high-energy powder X-ray diffraction (XRD) technique to examine the crystallographic structures of materials in functi…
DLSIA: Deep Learning for Scientific Image Analysis
Eric J Roberts, Tanny Chavez, Alexander Hexemer +1
We introduce DLSIA (Deep Learning for Scientific Image Analysis), a Python-based machine learning library that empowers scientists and researchers across diverse scientific domains…
MLExchange: A web-based platform enabling exchangeable machine learning workflows for scientific studies
Zhuowen Zhao, Tanny Chavez, Elizabeth A. Holman +14
Machine learning (ML) algorithms are showing a growing trend in helping the scientific communities across different disciplines and institutions to address large and diverse data p…
Deep learning-based identification of sub-nuclear structures in FIB-SEM images
Niraj Gupta, Eric J. Roberts, Song Pang +7
Three-dimensional volumetric imaging of cells allows for in situ visualization, thus preserving contextual insights into cellular processes. Despite recent advances in machine lear…