Clinical relevance of intracranial stenosis as false-positive findings of a deep learning algorithm trained to detect large vessel occlusions: a retrospective cohort study of a supraregional stroke centre.

Jungmann M, Manschikow S, Hönning A, Spohn F, Sparenberg P, Mutze S, Goelz L.

Open source

DOI
10.1136/bmjopen-2025-113081
Published
2026-06-11
Container
BMJ Open
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1136/bmjopen-2025-113081,
  title = {Clinical relevance of intracranial stenosis as false-positive findings of a deep learning algorithm trained to detect large vessel occlusions: a retrospective cohort study of a supraregional stroke centre.},
  author = {Jungmann M and  Manschikow S and  Hönning A and  Spohn F and  Sparenberg P and  Mutze S and  Goelz L.},
  year = {2026},
  journal = {BMJ Open},
  doi = {10.1136/bmjopen-2025-113081},
  url = {https://doi.org/10.1136/bmjopen-2025-113081}
}

RIS

TY  - JOUR
TI  - Clinical relevance of intracranial stenosis as false-positive findings of a deep learning algorithm trained to detect large vessel occlusions: a retrospective cohort study of a supraregional stroke centre.
AU  - Jungmann M
AU  -  Manschikow S
AU  -  Hönning A
AU  -  Spohn F
AU  -  Sparenberg P
AU  -  Mutze S
AU  -  Goelz L.
PY  - 2026
JO  - BMJ Open
DO  - 10.1136/bmjopen-2025-113081
UR  - https://doi.org/10.1136/bmjopen-2025-113081
ER  - 

APA

M, J., S, M., A, H., F, S., P, S., S, M., & L., G. (2026). Clinical relevance of intracranial stenosis as false-positive findings of a deep learning algorithm trained to detect large vessel occlusions: a retrospective cohort study of a supraregional stroke centre.. BMJ Open. https://doi.org/10.1136/bmjopen-2025-113081

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