This challenge is organized by researchers at the LaTIM laboratory:

• Hassan Al Hajj, M.Sc.,
• Gwenolé Quellec, Ph.D.,
• Mathieu Lamard, Ph.D.,
• Béatrice Cochener, M.D., Ph.D.

Publications of the team on the topic include:

• Al Hajj H, Lamard M, Conze P-E, Cochener B, Quellec G. Monitoring tool usage in cataract surgery videos using boosted convolutional and recurrent neural networks. arXiv:1710.01559[cs.CV]
• Quellec G, Cazuguel G, Cochener B, Lamard M. Multiple-instance learning for medical image and video analysis. IEEE Rev Biomed Eng. In press.
• Charrière K, Quellec G, Lamard M, Martiano D, Cazuguel G, Coatrieux G, Cochener B. Real-time analysis of cataract surgery videos using statistical models. Multimed Tools Appl. 2017 Nov;76(21):22473–91.
• Al Hajj H, Quellec G, Lamard M, Cazuguel G, Cochener B. Coarse-to-fine surgical instrument detection for cataract surgery monitoring. arXiv:1609.05619[cs.CV]
• Quellec G, Lamard M, Cochener B, Cazuguel G. Real-time task recognition in cataract surgery videos using adaptive spatiotemporal polynomials. IEEE Trans Med Imaging. 2015 Apr;34(4):877-87.
• Quellec G, Lamard M, Cochener B, Cazuguel G. Real-time segmentation and recognition of surgical tasks in cataract surgery videos. IEEE Trans Med Imaging. 2014 Dec;33(12):2352-60.
• Quellec G, Charrière K, Lamard M, Droueche Z, Roux C, Cochener B, Cazuguel G. Real-time recognition of surgical tasks in eye surgery videos. Med Image Anal. 2014 Feb;18(3):579-90.

If you have any questions, feel free to send an e-mail to: gwenole.quellec@inserm.fr.