Evaluation of deep-learning iterative reconstruction combined with high-frequency kernels in CT: a task-based image quality study.
- DOI
- 10.1186/s41747-026-00801-3
- Published
- 2026 Sep 10
- Container
- European radiology experimental
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1186/s41747-026-00801-3,
title = {Evaluation of deep-learning iterative reconstruction combined with high-frequency kernels in CT: a task-based image quality study.},
author = {Viry A and Monnin P and Pozzessere C and Racine D},
year = {2026},
journal = {European radiology experimental},
doi = {10.1186/s41747-026-00801-3},
url = {https://doi.org/10.1186/s41747-026-00801-3}
}RIS
TY - JOUR TI - Evaluation of deep-learning iterative reconstruction combined with high-frequency kernels in CT: a task-based image quality study. AU - Viry A AU - Monnin P AU - Pozzessere C AU - Racine D PY - 2026 JO - European radiology experimental DO - 10.1186/s41747-026-00801-3 UR - https://doi.org/10.1186/s41747-026-00801-3 ER -
APA
A, V., P, M., C, P., & D, R. (2026). Evaluation of deep-learning iterative reconstruction combined with high-frequency kernels in CT: a task-based image quality study.. European radiology experimental. https://doi.org/10.1186/s41747-026-00801-3
Source records
- pubmed · retrieved 2026-09-25T13:30:39.393Z