Phantom-based performance comparison of two commercial deep learning CT reconstruction algorithms with super- and normal-resolution settings.

Greffier J, Roy C, Dabli D, Beregi JP, Pastor M

DOI: 10.1186/s41747-025-00670-2
Published: 2026 Jan 26
Container: European radiology experimental
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1186/s41747-025-00670-2,
  title = {Phantom-based performance comparison of two commercial deep learning CT reconstruction algorithms with super- and normal-resolution settings.},
  author = {Greffier J and Roy C and Dabli D and Beregi JP and Pastor M},
  year = {2026},
  journal = {European radiology experimental},
  doi = {10.1186/s41747-025-00670-2},
  url = {https://doi.org/10.1186/s41747-025-00670-2}
}

RIS

TY  - JOUR
TI  - Phantom-based performance comparison of two commercial deep learning CT reconstruction algorithms with super- and normal-resolution settings.
AU  - Greffier J
AU  - Roy C
AU  - Dabli D
AU  - Beregi JP
AU  - Pastor M
PY  - 2026
JO  - European radiology experimental
DO  - 10.1186/s41747-025-00670-2
UR  - https://doi.org/10.1186/s41747-025-00670-2
ER  -

APA

J, G., C, R., D, D., JP, B., & M, P. (2026). Phantom-based performance comparison of two commercial deep learning CT reconstruction algorithms with super- and normal-resolution settings.. European radiology experimental. https://doi.org/10.1186/s41747-025-00670-2

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pubmed · retrieved 2026-09-25T15:00:21.855Z