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2022
V. Thambawita, S. Hicks, A. Storås, O. Witczak, J. M. Andersen, H. L. Hammer, P. Halvorsen, M. Riegler and H. B. Trine. "Real-time deep learning based multi object tracking of spermatozoa in fresh samples." Human Reproduction 37, no. Supplement_1, July 2022, deac107.104 (2022).PDF icon deac107.104.pdf (72.6 KB)
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.
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
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)