Wide association study of radiological features that predict future knee OA pain: data from the OAI

Wide association study of radiological features that predict future knee OA pain: data from the OAI. Galván-Tejada, J. I., Celaya-Padilla, J. M., Martínez-Torteya, A., Rodríguez-Rojas, J., Treviño, V., & Tamez-Peña, J. G. In Aylward, S. R. & Hadjiiski, L. M., editors, Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, California, United States, 15-20 February 2014, volume 9035, of SPIE Proceedings, pages 903539, 2014. SPIE.

Paper doi bibtex

@inproceedings{DBLP:conf/micad/Galvan-TejadaCM14,
  author    = {Jorge I. Galv{\'{a}}n{-}Tejada and
               Jos{\'{e}} M. Celaya{-}Padilla and
               Antonio Mart{\'{\i}}nez{-}Torteya and
               Juan Rodr{\'{\i}}guez{-}Rojas and
               Victor Trevi{\~{n}}o and
               Jos{\'{e}} G. Tamez{-}Pe{\~{n}}a},
  editor    = {Stephen R. Aylward and
               Lubomir M. Hadjiiski},
  title     = {Wide association study of radiological features that predict future
               knee {OA} pain: data from the {OAI}},
  booktitle = {Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, California,
               United States, 15-20 February 2014},
  series    = {{SPIE} Proceedings},
  volume    = {9035},
  pages     = {903539},
  publisher = {{SPIE}},
  year      = {2014},
  url       = {https://doi.org/10.1117/12.2043859},
  doi       = {10.1117/12.2043859},
  timestamp = {Wed, 14 Nov 2018 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/conf/micad/Galvan-TejadaCM14.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

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