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2022
A. Sharma, M. H. Stensen, E. Delbarre, T. B. Haugen and H. L. Hammer. Explainable Artificial Intelligence for Human Embryo Cell Cleavage Stages Analysis In Proceedings of the 3rd ACM Workshop on Intelligent Cross-Data Analysis and Retrieval. ACM, 2022.
2021
V. Thambawita, S. Hicks, J. Isaksen, M. H. Stensen, T. B. Haugen, J. Kanters, S. Parasa, T. de Lange, H. D. Johansen, D. Johansen et al. DeepSynthBody: the beginning of the end for data deficiency in medicine In The International Conference on Applied Artificial Intelligence (ICAPAI). IEEE, 2021.
V. Thambawita, T. B. Haugen, M. Stensen, O. Witczak, H. L. Hammer, P. Halvorsen and M. Riegler. Identification of spermatozoa by unsupervised learning from video data In 37th Virtual Annual Meeting of the European Society of Human Reproduction and Embryology (ESHRE). Oxford University Press, 2021.
2019
T. B. Haugen, S. Hicks, J. M. Andersen, O. Witczak, H. L. Hammer, R. Borgli, P. Halvorsen and M. Riegler. VISEM: a multimodal video dataset of human spermatozoa In Proceedings of the 10th ACM Multimedia Systems Conference, Edited by M. Zink. ACM, 2019.PDF icon visem.pdf (4.38 MB)