Swap-Net: A memory-efficient 2.5D network for sparse-view 3D cone beam CT reconstruction to ICF applications. Xu, X., Klasky, M., McCann, M. T., Hu, J., & Fessler, J. A. IEEE Trans. Computational Imaging, 2024. To appear
doi  bibtex   
@ARTICLE{xu::sna,
 author = {X. Xu and M. Klasky and M. T. McCann and J. Hu and J. A. Fessler},
 title = {{Swap-Net:} {A} memory-efficient {2.5D} network for sparse-view {3D} cone beam {CT} reconstruction to {ICF} applications},
 journal = {{IEEE Trans. Computational Imaging}},
 note = {To appear},
 doi = {10.1109/TCI.2025.3572699},
 year = 2024
}

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