A fully automated micro‑CT deep learning approach for precision preclinical investigation of lung fibrosis progression and response to therapy.
- DOI
- 10.1186/s12931-023-02432-3
- Published
- 2023 May 9
- Container
- Respiratory research
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1186/s12931-023-02432-3,
title = {A fully automated micro‑CT deep learning approach for precision preclinical investigation of lung fibrosis progression and response to therapy.},
author = {Buccardi M and Ferrini E and Pennati F and Vincenzi E and Ledda RE and Grandi A and Buseghin D and Villetti G and Sverzellati N and Aliverti A and Stellari FF},
year = {2023},
journal = {Respiratory research},
doi = {10.1186/s12931-023-02432-3},
url = {https://doi.org/10.1186/s12931-023-02432-3}
}RIS
TY - JOUR TI - A fully automated micro‑CT deep learning approach for precision preclinical investigation of lung fibrosis progression and response to therapy. AU - Buccardi M AU - Ferrini E AU - Pennati F AU - Vincenzi E AU - Ledda RE AU - Grandi A AU - Buseghin D AU - Villetti G AU - Sverzellati N AU - Aliverti A AU - Stellari FF PY - 2023 JO - Respiratory research DO - 10.1186/s12931-023-02432-3 UR - https://doi.org/10.1186/s12931-023-02432-3 ER -
APA
M, B., E, F., F, P., E, V., RE, L., A, G., D, B., G, V., N, S., A, A., & FF, S. (2023). A fully automated micro‑CT deep learning approach for precision preclinical investigation of lung fibrosis progression and response to therapy.. Respiratory research. https://doi.org/10.1186/s12931-023-02432-3
Source records
- pubmed · retrieved 2026-09-26T03:01:26.519Z