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Filters: Author is Haugen, Trine B.  [Clear All Filters]
2020
S. Hicks, V. Thambawita, H. L. Hammer, T. B. Haugen, J. M. Andersen, O. Witczak, P. Halvorsen and M. Riegler. ACM Multimedia BioMedia 2020 Grand Challenge Overview In Proceedings of the 28th ACM International Conference on Multimedia. New York, NY, USA: Association for Computing Machinery, 2020.
2019
S. Hicks, A. Petlund, T. de Lange, P. T. Schmidt, P. Halvorsen, M. Riegler, P. H. Smedsrud, T. B. Haugen, K. R. Randel, K. Pogorelov et al. ACM Multimedia BioMedia 2019 Grand Challenge Overview In The ACM International Conference on Multimedia (ACM MM), Edited by M. Larson, G. Gravier, H. Hung, C. Ngo and W. T. Ooi. New York, New York, USA: ACM Press, 2019.PDF icon p2563-hicks.pdf (12.9 MB)
S. Hicks, J. M. Andersen, O. Witczak, V. Thambawita, P. Halvorsen, H. L. Hammer, T. B. Haugen and M. Riegler. "Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction." Nature Scientific Reports 9, no. 1 (2019).
J. Rosenblad, S. Hicks, H. K. Stensland, T. B. Haugen, P. Halvorsen and M. Riegler. Using 2D and 3D Convolutional Neural Networks to Predict Semen Quality In MediaEval. CEUR Workshop Proceedings, 2019.