1 code implementation • 11 Jul 2023 • Hyojin Kim, Kyle Champley
Data-driven deep learning has been successfully applied to various computed tomographic reconstruction problems.
no code implementations • ICCV 2021 • Albert W. Reed, Hyojin Kim, Rushil Anirudh, K. Aditya Mohan, Kyle Champley, Jingu Kang, Suren Jayasuriya
However, if the scene is moving too fast, then the sampling occurs along a limited view and is difficult to reconstruct due to spatiotemporal ambiguities.
no code implementations • NeurIPS Workshop Deep_Invers 2019 • Hyojin Kim, Rushil Anirudh, K. Aditya Mohan, Kyle Champley
Reconstruction of few-view x-ray Computed Tomography (CT) data is a highly ill-posed problem.
no code implementations • CVPR 2018 • Rushil Anirudh, Hyojin Kim, Jayaraman J. Thiagarajan, K. Aditya Mohan, Kyle Champley, Timo Bremer
The classical techniques require measuring projections, called sinograms, from a full 180$^\circ$ view of the object.