Proximal Newton Methods for X-Ray Imaging with Non-Smooth Regularization. - Tao Ge 002; Umberto Villa; Ulugbek S. Kamilov; Joseph A. O'Sullivan (Computational Imaging, 2020)

Reducing motion artifact in sequential-scan dual-energy CT imaging by incorporating deformable registration within joint statistical image reconstruction. - Tao Ge 002; Rui Liao; David G. Politte; Maria Medrano; Jeffrey F. Williamson; Bruce R. Whiting; Tianyu Zhao; Joseph A. O'Sullivan (Computational Imaging, 2021)

A Machine-learning Based Initialization for Joint Statistical Iterative Dual-energy CT with Application to Proton Therapy. - Tao Ge 002; Maria Medrano; Rui Liao; David G. Politte; Jeffrey F. Williamson; Joseph A. O'Sullivan (CoRR, 2021)

A metal artifact reduction scheme for accurate iterative dual-energy CT algorithms. - Tao Ge 002; Maria Medrano; Rui Liao; Jeffrey F. Williamson; David G. Politte; Bruce R. Whiting; Joseph A. O'Sullivan (Computational Imaging, 2022)

DL-Corrector-Remapper: A grid-free bias-correction deep learning methodology for data-driven high-resolution global weather forecasting. - Tao Ge 002; Jaideep Pathak; Akshay Subramaniam; Karthik Kashinath (CoRR, 2022)

MB-DECTNet: A Model-Based Unrolled Network for Accurate 3D DECT Reconstruction. - Tao Ge 002; Maria Medrano; Rui Liao; David G. Politte; Jeffrey F. Williamson; Bruce R. Whiting; Joseph A. O'Sullivan (CoRR, 2023)