The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset

The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset. Desai, A. D., Calivá, F., Iriondo, C., Khosravan, N., Mortazi, A., Jambawalikar, S., Torigian, D. A., Ellermann, J., Akçakaya, M., Bagci, U., Tibrewala, R., Flament, I., O'Brien, M., Majumdar, S., Perslev, M., Pai, A., Igel, C., Dam, E. B., Gaj, S., Yang, M., Nakamura, K., Li, X., Deniz, C. M., Juras, V., Regatte, R., Gold, G., Hargreaves, B. A., Pedoia, V., & Chaudhari, A. S. CoRR, 2020.

Paper bibtex

@article{DBLP:journals/corr/abs-2004-14003,
  author       = {Arjun D. Desai and
                  Francesco Caliv{\'{a}} and
                  Claudia Iriondo and
                  Naji Khosravan and
                  Aliasghar Mortazi and
                  Sachin Jambawalikar and
                  Drew A. Torigian and
                  Jutta Ellermann and
                  Mehmet Ak{\c{c}}akaya and
                  Ulas Bagci and
                  Radhika Tibrewala and
                  Io Flament and
                  Matthew O'Brien and
                  Sharmila Majumdar and
                  Mathias Perslev and
                  Akshay Pai and
                  Christian Igel and
                  Erik B. Dam and
                  Sibaji Gaj and
                  Mingrui Yang and
                  Kunio Nakamura and
                  Xiaojuan Li and
                  Cem M. Deniz and
                  Vladimir Juras and
                  Ravinder Regatte and
                  Garry Gold and
                  Brian A. Hargreaves and
                  Valentina Pedoia and
                  Akshay S. Chaudhari},
  title        = {The International Workshop on Osteoarthritis Imaging Knee {MRI} Segmentation
                  Challenge: {A} Multi-Institute Evaluation and Analysis Framework on
                  a Standardized Dataset},
  journal      = {CoRR},
  volume       = {abs/2004.14003},
  year         = {2020},
  url          = {https://arxiv.org/abs/2004.14003},
  eprinttype    = {arXiv},
  eprint       = {2004.14003},
  timestamp    = {Sat, 23 Jan 2021 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2004-14003.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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