PhyDiff: Physics-guided latent diffusion model for sparse-view CT projection interpolation.
- DOI
- 10.1016/j.neunet.2026.109744
- Published
- 2027 Feb
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.109744,
title = {PhyDiff: Physics-guided latent diffusion model for sparse-view CT projection interpolation.},
author = {Duan S and Wu X and Zhu Y and Zhang X and Wei X and Qian Q and Song J and Dai J},
year = {2027},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2026.109744},
url = {https://doi.org/10.1016/j.neunet.2026.109744}
}RIS
TY - JOUR TI - PhyDiff: Physics-guided latent diffusion model for sparse-view CT projection interpolation. AU - Duan S AU - Wu X AU - Zhu Y AU - Zhang X AU - Wei X AU - Qian Q AU - Song J AU - Dai J PY - 2027 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2026.109744 UR - https://doi.org/10.1016/j.neunet.2026.109744 ER -
APA
S, D., X, W., Y, Z., X, Z., X, W., Q, Q., J, S., & J, D. (2027). PhyDiff: Physics-guided latent diffusion model for sparse-view CT projection interpolation.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.109744
Source records
- pubmed · retrieved 2026-11-10T21:02:53.545Z