M. Dahl and Cahoy, K., “Machine Learning Algorithm and Multi Sensor Suite for Orbital Power Line Management and Wildfire Prediction”, in AIAA SCITECH 2024 Forum, 2024.

A. Meredith, “Applying Rotation-Equivariant Deep Learning to Cloud and Road Segmentation in Satellite and Aerial Imagery”, Massachusetts Institute of Technology, 2023.

A. Meredith, “Evaluating Rotation-Equivariant Deep Learning Models for On-Orbit Cloud Segmentation”, in 37th Annual Small Satellite Conference, 2023.

G. W. Allan, Kang, I., Douglas, E., N'Diaye, M., Barbastathis, G., and Cahoy, K., “Deep neural networks to improve the dynamic range of Zernike phase-contrast wavefront sensing in high-contrast imaging systems”, in Space Telescopes and Instrumentation 2020: Optical, Infrared, and Millimeter Wave, 2020, vol. 11443, p. 189.