An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.1186/s13075-021-02484-0

https://doi.org/10.1186/s13075-021-02484-0

Deep learning for detection of radiographic sacroiliitis: achieving expert-level performance

Cited by: 30
Author(s): Keno K. Bressem, Janis L. Vahldiek, Lisa C. Adams, Stefan M. Niehues, Hildrun Haibel, V. Rios Rodriguez, Murat Torğutalp, Mikhail Protopopov, Fabian Proft, Judith Rademacher, Joachim Sieper, Martín Rudwaleit, Bernd Hamm, Marcus R. Makowski, Kay-Geert A. Hermann, Denis Poddubnyy
Published: over 4 years ago

Software Mentions 4

cran: irr
Various Coefficients of Interrater Reliability and Agreement
Papers that mentioned: 228
Very Likely Science (83)
cran: ROCR
Visualizing the Performance of Scoring Classifiers
Papers that mentioned: 596
Very Likely Science (75)
cran: tidyverse
Easily Install and Load the 'Tidyverse'
Papers that mentioned: 1,023
Very Likely Science (100)
pypi: irr
numpy.irr but works
Papers that mentioned: 228
Very Likely Science (65)