Methodologies for Successful Segmentation of HRTEM Images via Neural Network. - Catherine K. Groschner; Christina Choi; Mary C. Scott (CoRR, 2020)

Understanding the Influence of Receptive Field and Network Complexity in Neural-Network-Guided TEM Image Analysis. - Katherine Sytwu; Catherine K. Groschner; Mary C. Scott (CoRR, 2022)

Real-Time Interactive 4D-STEM Phase-Contrast Imaging From Electron Event Representation Data: Less computation with the right representation. - Philipp M. Pelz; Ian Johnson; Colin Ophus; Peter Ercius; Mary C. Scott (IEEE Signal Process. Mag., 2022)

Generalization Across Experimental Parameters in Machine Learning Analysis of High Resolution Transmission Electron Microscopy Datasets. - Katherine Sytwu; Luis Rangel DaCosta; Mary C. Scott (CoRR, 2023)

A robust synthetic data generation framework for machine learning in High-Resolution Transmission Electron Microscopy (HRTEM). - Luis Rangel DaCosta; Katherine Sytwu; Catherine K. Groschner; Mary C. Scott (CoRR, 2023)