Interpretable deep learning for rotator cuff calcific tendinopathy diagnosis: a multi-center study.

Bautista JM, Peris JL, Carrillo FY, Iglesias LL, Vega JA, Fernández-Miranda PM

Open source

DOI
10.1038/s41598-026-51016-w
Published
2026 Jun 22
Container
Scientific reports
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1038/s41598-026-51016-w,
  title = {Interpretable deep learning for rotator cuff calcific tendinopathy diagnosis: a multi-center study.},
  author = {Bautista JM and Peris JL and Carrillo FY and Iglesias LL and Vega JA and Fernández-Miranda PM},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-51016-w},
  url = {https://doi.org/10.1038/s41598-026-51016-w}
}

RIS

TY  - JOUR
TI  - Interpretable deep learning for rotator cuff calcific tendinopathy diagnosis: a multi-center study.
AU  - Bautista JM
AU  - Peris JL
AU  - Carrillo FY
AU  - Iglesias LL
AU  - Vega JA
AU  - Fernández-Miranda PM
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-51016-w
UR  - https://doi.org/10.1038/s41598-026-51016-w
ER  - 

APA

JM, B., JL, P., FY, C., LL, I., JA, V., & PM, F. (2026). Interpretable deep learning for rotator cuff calcific tendinopathy diagnosis: a multi-center study.. Scientific reports. https://doi.org/10.1038/s41598-026-51016-w

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