Research output per year
Research output per year
Search results
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2019
3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects
Sudre, C. H., Anson, B. G., Ingala, S., Lane, C. D., Jimenez, D., Haider, L., Varsavsky, T., Smith, L., Ourselin, S. B., Jäger, R. H. & Cardoso, M. J., 2019, Proceedings of the 2nd International Conference on Medical Imaging with Deep Learning, MIDL 2019. Cardoso, M. J., Feragen, A., Glocker, B., Konukoglu, E., Oguz, I., Unal, G. & Vercauteren, T. (eds.). ML Research Press, Vol. 102. p. 447-456 (Proceedings of Machine Learning Research).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
6 Citations (Scopus)