research

in progress

“Generalized system identification with implicit neural representations while jointly reconstructing the image in MRI”, Zachary A. Stoebner, Jonathan I. Tamir.

“Preconditioned monotone operator learning for fast, memory-efficient, noise-robust compressed sensing MRI”, Zachary A. Stoebner, Jonathan I. Tamir.

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, accepted) 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