Christina Choi

most citedMachine Learning Pipeline for Segmentation and Defect Identification from High Resolution Transmission Electron Microscopy Data

74 citations · 77 across the 2 of their papers we have counts for

collaborators

2 papers

cond-mat.mtrl-sci2021★ 3 cited

Comparative analysis for meaningful interpretation of rare-earth oxide M $_{4, 5}$ energy loss edges

Ellis Kennedy, Christina Choi, M. C. Scott

The magnetic, electronic, and optical properties of rare earth-oxides are directly influenced by the valency of the metallic cation. With the development of next generation electro…

eess.IV2020★ 74 cited

Machine Learning Pipeline for Segmentation and Defect Identification from High Resolution Transmission Electron Microscopy Data

C. K. Groschner, Christina Choi, M. C. Scott

In the field of transmission electron microscopy, data interpretation often lags behind acquisition methods, as image processing methods often have to be manually tailored to indiv…

Comparative analysis for meaningful interpretation of rare-earth oxide M4,5​ energy loss edges

Machine Learning Pipeline for Segmentation and Defect Identification from High Resolution Transmission Electron Microscopy Data

Comparative analysis for meaningful interpretation of rare-earth oxide M $_{4, 5}$ energy loss edges