The boundary of x-ray and electron tomography. - Zachary H. Levine (Computational Imaging, 2005)

A Bayesian approach to tomography of multiply-scattered beams. - Zachary H. Levine (Computational Imaging, 2006)

Alignment of fiducial marks in a tomographic tilt series with an unknown rotation axis. - Zachary H. Levine; Alex Volkovitsky; Howard K. Hung (Comput. Phys. Commun., 2007)

A fixed-memory moving, expanding window for obtaining scatter corrections in X-ray CT and other stochastic averages. - Zachary H. Levine; Adam L. Pintar (Comput. Phys. Commun., 2015)

Advantage of Machine Learning over Maximum Likelihood in Limited-Angle Low-Photon X-Ray Tomography. - Zhen Guo; Jung Ki Song; George Barbastathis; Michael E. Glinsky; Courtenay T. Vaughan; Kurt W. Larson; Bradley K. Alpert; Zachary H. Levine (Machine Learning for Scientific Imaging, 2022)

Physics-assisted Generative Adversarial Network for X-Ray Tomography. - Zhen Guo; Jung Ki Song; George Barbastathis; Michael E. Glinsky; Courtenay T. Vaughan; Kurt W. Larson; Bradley K. Alpert; Zachary H. Levine (CoRR, 2022)

Nanoscale Three-Dimensional Imaging of Integrated Circuits Using a Scanning Electron Microscope and Transition-Edge Sensor Spectrometer. - Nathan Nakamura; Paul Szypryt; Amber L. Dagel; Bradley K. Alpert; Douglas A. Bennett; William Bertrand Doriese; Malcolm Durkin; Joseph W. Fowler; Dylan T. Fox; Johnathon D. Gard; Ryan N. Goodner; James Zachariah Harris; et al. (Sensors, 2024)