Comparison of statistical learning approaches for cerebral aneurysm rupture assessment

Felicitas J. Detmer, Daniel Lückehe, Fernando Mut, Martin Slawski, Sven Hirsch, Philippe Bijlenga, Gabriele von Voigt, Juan R. Cebral

Open source

DOI
10.1007/s11548-019-02065-2
Published
2019-09-04
Container
International Journal of Computer Assisted Radiology and Surgery
Publisher
Springer Science and Business Media LLC
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1007/s11548-019-02065-2,
  title = {Comparison of statistical learning approaches for cerebral aneurysm rupture assessment},
  author = {Felicitas J. Detmer and Daniel Lückehe and Fernando Mut and Martin Slawski and Sven Hirsch and Philippe Bijlenga and Gabriele von Voigt and Juan R. Cebral},
  year = {2019},
  journal = {International Journal of Computer Assisted Radiology and Surgery},
  doi = {10.1007/s11548-019-02065-2},
  url = {https://doi.org/10.1007/s11548-019-02065-2}
}

RIS

TY  - JOUR
TI  - Comparison of statistical learning approaches for cerebral aneurysm rupture assessment
AU  - Felicitas J. Detmer
AU  - Daniel Lückehe
AU  - Fernando Mut
AU  - Martin Slawski
AU  - Sven Hirsch
AU  - Philippe Bijlenga
AU  - Gabriele von Voigt
AU  - Juan R. Cebral
PY  - 2019
JO  - International Journal of Computer Assisted Radiology and Surgery
DO  - 10.1007/s11548-019-02065-2
UR  - https://doi.org/10.1007/s11548-019-02065-2
ER  - 

APA

Detmer, F. J., Lückehe, D., Mut, F., Slawski, M., Hirsch, S., Bijlenga, P., Voigt, G. V., & Cebral, J. R. (2019). Comparison of statistical learning approaches for cerebral aneurysm rupture assessment. International Journal of Computer Assisted Radiology and Surgery. https://doi.org/10.1007/s11548-019-02065-2

Source records