in progress
“Preconditioned monotone operator learning for high-dimensional, non-Cartesian inverse problems”, Zachary A. Stoebner, Jon Tamir.
“Generative Koopman Method for Nonlinear System Identification and Signal Recovery in Computational Imaging”, Zachary A. Stoebner, Jon Tamir.
“Double blind imaging with generative modeling”, Brett Levac, Yamin Arefeen, Zachary A. Stoebner, Jon Tamir. In review for CVPR 2026.
conference
“INFusion: Diffusion Regularized Implicit Neural Representations for 2D and 3D accelerated MRI reconstruction”, Yamin Arefeen, Brett Levac, Zach Stoebner, Jonathan I Tamir. Asilomar. (2024) arXiv
“Segmentation of kidney stones in endoscopic video feeds”, Zachary A. Stoebner, Daiwei Lu, Seok Hee Hong, Nicholas L. Kavoussi, and Ipek Oguz, Proc. SPIE 12032, Medical Imaging 2022: Image Processing (2022). DOI arXiv note
journal
“Reducing malware analysis overhead with coverings”, Michael Sandborn, Zach Stoebner, Westley Weimer, Stephanie Forrest, Ryan Dougherty, Jules White, Kevin Leach. IEEE‑TDSC (2023). DOI repo
“Comprehensive shape analysis of the cortex in Huntington’s disease”, Zachary A. Stoebner, Kilian Hett, Ilwoo Lyu, Hans Johnson, Jane S. Paulsen, Jeffrey Long, Ipek Oguz, Human Brain Mapping (2023). DOI repo note
poster
“Generalized system identification and joint signal reconstruction with implicit neural representations, with application to MRI”, Zachary A. Stoebner, Jonathan I. Tamir. {6G@UT, Oden SciML Workshop} (2024). note
patent
“Systems and Methods for Navigation and Identification during Endoscopic Surgery”, Nicholas L. Kavoussi, Ipek Oguz, Jie Ying Wu, Zachary A. Stoebner, Daiwei Lu, Ayberk Acar. U.S. Patent Application No. 18/622,134.