Generating synthetic CEM from low-energy images using deep learning: A future without contrast media? A proof-of-concept study.

Zormpas-Petridis K, Kalantar R, Iaccarino L, Mancino M, Franceschini G, Clauser P, Longo V, Sala E, Belli P, D'Angelo A

Open source

DOI
10.1186/s41747-026-00681-7
Published
2026 Mar 16
Container
European radiology experimental
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1186/s41747-026-00681-7,
  title = {Generating synthetic CEM from low-energy images using deep learning: A future without contrast media? A proof-of-concept study.},
  author = {Zormpas-Petridis K and Kalantar R and Iaccarino L and Mancino M and Franceschini G and Clauser P and Longo V and Sala E and Belli P and D'Angelo A},
  year = {2026},
  journal = {European radiology experimental},
  doi = {10.1186/s41747-026-00681-7},
  url = {https://doi.org/10.1186/s41747-026-00681-7}
}

RIS

TY  - JOUR
TI  - Generating synthetic CEM from low-energy images using deep learning: A future without contrast media? A proof-of-concept study.
AU  - Zormpas-Petridis K
AU  - Kalantar R
AU  - Iaccarino L
AU  - Mancino M
AU  - Franceschini G
AU  - Clauser P
AU  - Longo V
AU  - Sala E
AU  - Belli P
AU  - D'Angelo A
PY  - 2026
JO  - European radiology experimental
DO  - 10.1186/s41747-026-00681-7
UR  - https://doi.org/10.1186/s41747-026-00681-7
ER  - 

APA

K, Z., R, K., L, I., M, M., G, F., P, C., V, L., E, S., P, B., & A, D. (2026). Generating synthetic CEM from low-energy images using deep learning: A future without contrast media? A proof-of-concept study.. European radiology experimental. https://doi.org/10.1186/s41747-026-00681-7

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