Kevin G. Field

According to our database, Kevin G. Field authored at least 5 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Predicting Performance of Object Detection Models in Electron Microscopy Using Random Forests.

Ni Li, Ryan Jacobs, Matthew J. Lynch, Vidit Agrawal, Kevin G. Field, Dane Morgan

CoRR, January, 2025

Performance Evaluation of Image Super-Resolution for Cavity Detection in Irradiated Materials.

John Olamofe, Lijun Qian, Kevin G. Field

IEEE Access, 2025

2024

Accelerating Domain-Aware Electron Microscopy Analysis Using Deep Learning Models with Synthetic Data and Image-Wide Confidence Scoring.

Matthew J. Lynch, Ryan Jacobs, Gabriella Bruno, Priyam Patki, Dane Morgan, Kevin G. Field

CoRR, 2024

2021

Performance, Successes and Limitations of Deep Learning Semantic Segmentation of Multiple Defects in Transmission Electron Micrographs.

Ryan Jacobs, Mingren Shen, Yuhan Liu, Wei Hao, Xiaoshan Li, Ruoyu He, Jacob R. C. Greaves, Donglin Wang, Zeming Xie, Zitong Huang, Chao Wang, Kevin G. Field, Dane Morgan

CoRR, 2021

A Deep Learning Based Automatic Defect Analysis Framework for In-situ TEM Ion Irradiations.

Mingren Shen, Guanzhao Li, Dongxia Wu, Yudai Yaguchi, Jack C. Haley, Kevin G. Field, Dane Morgan

CoRR, 2021