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Filters: 1 is biblio_type:PhD Thesis and Author is Mette Stensen  [Reset Search]
2023
A. Sharma, M. Stensen, E. Delbarre, M. Siddiqui, T. Haugen, M. Riegler and H. L. Hammer. Detecting human embryo cleavage stages using YOLO v5 object detection algorithm In Nordic Artificial Intelligence Research and Development. Springer, 2023.
2020
S. Hicks, T. B. Haugen, M. Iliceto, H. L. Hammer, J. M. Andersen, O. Witczak, M. Riegler and M. Stensen. Big data is not always better – prediction of live birth using machine learning on time-lapse videos of human embryos. ESHRE virtual 36th Annual Meeting: ESHRE, 2020.