MRI radiomics-based approach to predict pituitary neuroendocrine tumor invasiveness
- DOI
- 10.1186/s41747-026-00736-9
- Published
- 2026-05-20
- Container
- European Radiology Experimental
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s41747-026-00736-9,
title = {MRI radiomics-based approach to predict pituitary neuroendocrine tumor invasiveness},
author = {Rosalinda Calandrelli and Huong Elena Tran and Edda Boccia and Elia Oliva and Gabriella D’Apolito and Luca Boldrini and Pier Paolo Mattogno and Sabrina Chiloiro and Marco Gessi and Francesco Doglietto and Simona Gaudino},
year = {2026},
journal = {European Radiology Experimental},
doi = {10.1186/s41747-026-00736-9},
url = {https://doi.org/10.1186/s41747-026-00736-9}
}RIS
TY - JOUR TI - MRI radiomics-based approach to predict pituitary neuroendocrine tumor invasiveness AU - Rosalinda Calandrelli AU - Huong Elena Tran AU - Edda Boccia AU - Elia Oliva AU - Gabriella D’Apolito AU - Luca Boldrini AU - Pier Paolo Mattogno AU - Sabrina Chiloiro AU - Marco Gessi AU - Francesco Doglietto AU - Simona Gaudino PY - 2026 JO - European Radiology Experimental DO - 10.1186/s41747-026-00736-9 UR - https://doi.org/10.1186/s41747-026-00736-9 ER -
APA
Calandrelli, R., Tran, H. E., Boccia, E., Oliva, E., D’Apolito, G., Boldrini, L., Mattogno, P. P., Chiloiro, S., Gessi, M., Doglietto, F., & Gaudino, S. (2026). MRI radiomics-based approach to predict pituitary neuroendocrine tumor invasiveness. European Radiology Experimental. https://doi.org/10.1186/s41747-026-00736-9
Source records
- crossref · retrieved 2026-09-25T20:25:30.818Z