A deep learning framework for automated quantification of peripheral nerve lesions in MR neurography.
- DOI
- 10.1186/s41747-026-00786-z
- Published
- 2026 Sep 8
- Container
- European radiology experimental
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1186/s41747-026-00786-z,
title = {A deep learning framework for automated quantification of peripheral nerve lesions in MR neurography.},
author = {Beste NC and Raudonat C and Fesselier M and Hartmann S and Sommer D and Jende JME and Kottlors J and Heiland S and Meredig H and Bendszus M and Mooshage CM},
year = {2026},
journal = {European radiology experimental},
doi = {10.1186/s41747-026-00786-z},
url = {https://doi.org/10.1186/s41747-026-00786-z}
}RIS
TY - JOUR TI - A deep learning framework for automated quantification of peripheral nerve lesions in MR neurography. AU - Beste NC AU - Raudonat C AU - Fesselier M AU - Hartmann S AU - Sommer D AU - Jende JME AU - Kottlors J AU - Heiland S AU - Meredig H AU - Bendszus M AU - Mooshage CM PY - 2026 JO - European radiology experimental DO - 10.1186/s41747-026-00786-z UR - https://doi.org/10.1186/s41747-026-00786-z ER -
APA
NC, B., C, R., M, F., S, H., D, S., JME, J., J, K., S, H., H, M., M, B., & CM, M. (2026). A deep learning framework for automated quantification of peripheral nerve lesions in MR neurography.. European radiology experimental. https://doi.org/10.1186/s41747-026-00786-z
Source records
- pubmed · retrieved 2026-09-26T05:07:02.605Z