A diffusion-based generative prior approach to sparse-view computed tomography.
- DOI
- 10.1016/j.compmedimag.2026.102802
- Published
- 2026 Aug
- Container
- Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1016/j.compmedimag.2026.102802,
title = {A diffusion-based generative prior approach to sparse-view computed tomography.},
author = {Evangelista D and Cascarano P and Loli Piccolomini E},
year = {2026},
journal = {Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society},
doi = {10.1016/j.compmedimag.2026.102802},
url = {https://doi.org/10.1016/j.compmedimag.2026.102802}
}RIS
TY - JOUR TI - A diffusion-based generative prior approach to sparse-view computed tomography. AU - Evangelista D AU - Cascarano P AU - Loli Piccolomini E PY - 2026 JO - Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society DO - 10.1016/j.compmedimag.2026.102802 UR - https://doi.org/10.1016/j.compmedimag.2026.102802 ER -
APA
D, E., P, C., & E, L. P. (2026). A diffusion-based generative prior approach to sparse-view computed tomography.. Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society. https://doi.org/10.1016/j.compmedimag.2026.102802
Source records
- pubmed · retrieved 2026-09-25T01:55:54.000Z
- europe-pmc · retrieved 2026-09-25T01:55:54.012Z